CN109953748A - A kind of sensor hierarchical intelligence scheduling system and method for children's safety wrist-watch - Google Patents

A kind of sensor hierarchical intelligence scheduling system and method for children's safety wrist-watch Download PDF

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CN109953748A
CN109953748A CN201910174236.XA CN201910174236A CN109953748A CN 109953748 A CN109953748 A CN 109953748A CN 201910174236 A CN201910174236 A CN 201910174236A CN 109953748 A CN109953748 A CN 109953748A
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CN109953748B (en
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黄家荣
邓圣衡
舒琳
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South China University of Technology SCUT
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/021Measuring pressure in heart or blood vessels
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/318Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/68Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6802Sensor mounted on worn items
    • A61B5/681Wristwatch-type devices
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2562/00Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors

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  • Life Sciences & Earth Sciences (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
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  • Heart & Thoracic Surgery (AREA)
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  • Cardiology (AREA)
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  • Dentistry (AREA)
  • Oral & Maxillofacial Surgery (AREA)
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  • Alarm Systems (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)

Abstract

The present invention is that the sensor hierarchical intelligence of children's safety wrist-watch dispatches system and method, and system includes MCU decision-making level, server decision-making level, basic sensing layer, preliminary decision sensing layer, gos deep into decision sensing layer and extraneous communication sensing layer;MCU decision-making level connect with basic sensing layer, preliminary decision sensing layer respectively, server decision-making level respectively with preliminary decision sensing layer, go deep into decision sensing layer and connect, go deep into the connection of decision sensing layer communication with the outside world sensing layer;MCU decision-making level is responsible for simple decision and data processing, and server decision-making level is responsible for complicated decision and data processing;Basic sensing layer, preliminary decision sensing layer go deep into each sensor that decision sensing layer is used to scheduling children's safety wrist-watch.The working condition (acquisition data or suspend mode) that each sensor is determined by certain scheduling mechanism, to make wrist-watch calling section sensor in most of the time, reduces the power consumption of wrist-watch.

Description

A kind of sensor hierarchical intelligence scheduling system and method for children's safety wrist-watch
Technical field
The present invention relates to Sensor scheduling technologies, the hierarchical intelligence scheduling of different sensors specially in children's safety wrist-watch System and method.
Background technique
In recent years, safety problem of the children in school be constantly subjected to society extensive concern, some children in campus by Despot's icepro either teacher's of other children maltreats.And many children are being seized by force due to lacking sense of self-protection among these Parent dare not be told after insulting or maltreating.Meanwhile children suffer the big hidden danger that abduction issue is also children's safety.Therefore to youngster It is virgin carry out all the time security monitoring just seem it is necessary to, and by for example wearable devices such as children's safety wrist-watch come pair It is the effective ways for solving the problems, such as children's safety instantly that children, which carry out security monitoring,.
Be limited to portable device feature small in size, children's safety wrist-watch generally will not using larger capacity battery and The MCU of superior performance, thus carry one kind can be reduced in the case where guaranteeing security protection effect wrist-watch power consumption and realize it is low The Sensor scheduling system of data processing amount is highly desirable.And at present children's wrist-watch on the market due to being limited to energy consumption, and Enough monitoring sensors are not carried, therefore the problems such as despot insults, maltreats and kidnaps is encountered for children and is difficult to be supervised automatically Control and judgement, therefore security coefficient is unable to meet demand.
Summary of the invention
The present invention for existing children's safety wrist-watch because be limited to energy consumption can not carry sufficient monitoring sensor to despot's icepro, It the problem of situations carry out implementing monitoring such as maltreats and kidnaps, propose a kind of sensor hierarchical intelligence scheduling system of children's safety wrist-watch System determines the working condition (acquisition data or suspend mode) of each sensor by certain scheduling mechanism, so that wrist-watch be made to exist Calling section sensor, reduces the power consumption of wrist-watch in most of the time;The scheduling system can be current by judging simultaneously The state of children, wakes up necessary sensor, and remaining sensor dormancy, and wrist-watch is made still to be able to maintain height in the case where low-power consumption Security coefficient.
The present invention also provides a kind of sensor hierarchical intelligence dispatching methods of children's safety wrist-watch.
Intelligent dispatching system of the present invention is realized using following technical scheme: the sensor hierarchical intelligence of children's safety wrist-watch Scheduling system, including MCU decision-making level, server decision-making level, basic sensing layer, preliminary decision sensing layer, go deep into decision sensing layer Sensing layer is communicated with the external world;MCU decision-making level connect with basic sensing layer, preliminary decision sensing layer respectively, server decision-making level point Not with preliminary decision sensing layer, go deep into decision sensing layer and connect, go deep into the connection of decision sensing layer communication with the outside world sensing layer;MCU Decision-making level is responsible for simple decision and data processing, and server decision-making level is responsible for complicated decision and data processing;Basis sensing Layer, preliminary decision sensing layer go deep into each sensor that decision sensing layer is used to scheduling children's safety wrist-watch.
Intelligent dispatching method of the present invention is realized using following technical scheme: the sensor hierarchical intelligence of children's safety wrist-watch Dispatching method, comprising the following steps:
S1. under daily state, basic sensing layer is maintained a normally open, and the data that will acquire submit to MCU decision-making level and carry out letter Single judgement;When data reach threshold value, MCU decision-making level is judged as into risk status, starts to call preliminary decision sensing layer;
S2. after calling preliminary decision sensing layer, MCU decision-making level is by collecting the differences of data in basic sensing layer Enabling is preset at sensor calling model different in MCU, to determine to call the type and frequency of sensor;Meanwhile it will acquire To data be submitted to server decision-making level, preliminary decision is carried out by server decision-making level and is judged, while collected data The judgment models being also used in amendment server;If it is determined that being then withdrawn into daily state without danger, basic biography is reactivated Feel layer;If it is determined that it is dangerous, then it calls and gos deep into decision sensing layer, carry out further accurate judgement;
S3. enter and go deep into after decision sensing layer, the calling of sensor will be controlled by server decision-making level, and sensor is then not It is disconnected that data are committed to server decision-making level, accurate judgement is made by server decision-making level;It, will if being finally judged as no danger It is withdrawn into preliminary decision sensing layer, continues observation a period of time;If being judged as no danger in preliminary decision sensing layer, day is returned to Normal state;If being finally judged as dangerous, the function of video calling or voice communication is automatically opened, Xiang Jiachang is sounded an alarm, Judged by parent and measure of handling it.
Preferably, intelligent dispatching method further comprises the steps of:
S4. when wearer is in the biggish state of palpitating speed, acceleration, i.e., it is believed that wearer is in strenuous exercise State or emotional instability state start preliminary decision sensing layer;
Preliminary decision sensing layer first passes through the obtained data characteristics of basic sensing layer and judges that children are in struggle state, from And struggle monitoring sensor scheduling model preset in MCU decision-making level is enabled, pulse wave sensor, language are enabled according to scheduling model Sound sensor, blood pressure sensor judge whether children are struggling and why to struggle by server decision-making level;
Such as confirm that children are kidnaped, i.e. decision sensing layer is goed deep into starting, accelerates by the instruction of server decision-making level necessary The sample frequency of sensor, and camera module and GPS module are opened, accurately confirm the danger that children are met with, simultaneously The scheduling mechanism of sensor is adjusted according to collected data intelligence.
Compared with the prior art, the invention has the following advantages and beneficial effects:
1, the sensor hierarchical intelligence dispatches system with nerve system of human body to perceptual organ (such as eyes, thermoreceptor Deng) call-by mechanism and adjustment mechanism (such as feed-back regulatory mechanism), judged by the feedback mechanism of basic sensing layer The variation of virgin ambient enviroment realizes the hierarchical intelligence scheduling of sensor so that intelligence changes layering and the wakeup frequency of sensor.
2, sensor hierarchical intelligence scheduling system is reduced by the intelligent scheduling to sensor to unnecessary sensor It calls, to realize that low-power consumption and reduction calculate in the case where reaching holding high safety factor.Meanwhile the system can pass through Decision model in the habit modification server of children is different children's automatic customization decision model.
Detailed description of the invention
Fig. 1 is structural schematic diagram of the invention.
Specific embodiment
Present invention will now be described in further detail with reference to the embodiments and the accompanying drawings, but embodiments of the present invention are unlimited In this.
Embodiment
Different sensors, including blood pressure sensing module, skin electricity sensing module, pulse sensing are set in children's safety wrist-watch Module, electrocardio sensing module, sound acquisition module, acceleration sensing module, camera module and GPS module;Through the invention Sensor hierarchical intelligence dispatches system, in the sufficiently high situation of security monitoring intensity of children, can solve guaranteeing wrist-watch The problem of wrist-watch MCU (micro-control unit) performance deficiency and the Energy Efficiency Ratio for improving wrist-watch.
The basis that inventive sensor hierarchical intelligence dispatches system is classified to sensor, and different sensing layers is passed through Complete task different in each scene.As shown in Figure 1, the present invention includes MCU decision-making level, server decision-making level, basis sensing Layer, preliminary decision sensing layer go deep into decision sensing layer and extraneous communication sensing layer;MCU decision-making level respectively with basic sensing layer, just Walk the connection of decision sensing layer, server decision-making level respectively with preliminary decision sensing layer, go deep into decision sensing layer and connect;Go deep into decision The connection of sensing layer communication with the outside world sensing layer, and can be connected to the APP on parent's mobile phone.MCU decision-making level is responsible for simple decision And data processing, and server decision-making level is responsible for complicated decision and data processing.Basic sensing layer, preliminary decision sensing layer, Go deep into each sensor that decision sensing layer is used to scheduling children's safety wrist-watch.
Sensor scheduled in basic sensing layer almost keeps the moment in acquisition data, for tentatively judging ring locating for children The approximate state in border.The operating mode of this layer of sensor in normal state will not generally change.As basic sensing layer, The data of this layer are mainly used for carrying out children's local environment the judgement of early period.This layer of sensor is determined with the simple of MCU is equipped on Plan model carries out data exchange, and when the data acquired in the sensor reach certain threshold value, basic sensing layer is just to MCU decision Layer is fed back, and the instruction of next step is made by MCU decision-making level.Sensor scheduled in basic sensing layer is relatively simple, and adopts The data of collection are easily handled, and the data of acquisition include that the heart rate obtained by pulse wave sensing module, blood pressure sensing module obtain The location information etc. that the acceleration and GPS module that blood pressure, acceleration sensing module obtain obtain.
Data acquired in sensor scheduled in preliminary decision sensing layer are complex, and data need to give operational capability Stronger server is handled the (sound that pulse wave information, the sound acquisition module obtained in such as pulse wave sensor obtains Information etc.), preliminary judgement is obtained by server.These data are also used in some behavioural habits of server study user, To correct the decision model in server, for reducing erroneous judgement.Meanwhile sensor scheduled in this layer can change, and obtain The frequency of data can also change, to cope with different environment.The layer how scheduling sensor, depend on MCU decision-making level in Several different models of storage, the data obtained by basic sensing layer are different to call different models.
Feature and the feature of preliminary decision sensing layer for going deep into decision sensing layer are more similar, but following different: being adjusted Sensor is spent completely by the scheduling of server decision-making level, to reach more intelligent scheduling;The frequency of Sensor scheduling and MCU's Computing capability is activated most possibly, to obtain the higher data of sample rate, or more complicated sensor is called (such as to take the photograph As head module), improve the accuracy of server judging result.After the layer is activated, the power consumption of hardware is will not be considered any further in equipment.By It is equivalent to and enters " performance mode " in wrist-watch at this time, therefore the time of this layer operation is generally shorter, this requires servers Decision-making level needs quickly to judge.
Being mainly used for after confirmation is dangerous for external world's communication sensing layer, passes through communication module, camera module, sound Acquisition module and extraneous (such as guardian or the police etc.) carry out language and video calling, keep danger processed in time.
Inventive sensor hierarchical intelligence dispatching method, steps are as follows:
S1. under daily state, basic sensing layer is maintained a normally open, and the data that will acquire submit to MCU decision-making level and carry out letter Single judgement.When data reach threshold value, MCU decision-making level is judged as into risk status, starts that preliminary decision is called to sense Layer.
S2. after calling preliminary decision sensing layer, MCU decision-making level is by collecting the differences of data in basic sensing layer Enabling is preset at sensor calling model different in MCU, to determine to call the type and frequency of sensor.Meanwhile it will acquire To data be submitted to server decision-making level, preliminary decision is carried out by server decision-making level and is judged, while these data also can For correcting the judgment models in server.If it is determined that being then withdrawn into daily state without danger, basic sensing is reactivated Layer;If it is determined that it is dangerous, then it calls and gos deep into decision sensing layer, carry out further accurate judgement.
S3. enter and go deep into after decision sensing layer, the calling of sensor will be controlled by server decision-making level, and sensor is then Data are constantly committed to server decision-making level, accurate judgement is made by server decision-making level.If being finally judged as no danger, It will move out preliminary decision sensing layer, continue observation a period of time;If being judged as no danger, wrist-watch in preliminary decision sensing layer Return to routine work state.If being finally judged as dangerous, the function of video calling or voice communication is automatically opened, and is passed through APP in parent's mobile phone is sounded an alarm to parent, is judged by parent and measure of handling it.It can if danger coefficient is excessively high Alarm system can be will start.
S4. when wearer is in the biggish state of palpitating speed, acceleration, i.e., it is believed that wearer is in strenuous exercise At this moment state or emotional instability state need to start preliminary decision sensing layer.Preliminary decision sensing layer first passes through basic biography Feel the obtained data characteristics of layer: heartbeat accelerates suddenly, acceleration direction is unstable, thus judge that children are in struggle state, To enabling struggle monitoring sensor scheduling model preset in MCU decision-making level, according to scheduling model enable pulse wave sensor, The sensors such as speech transducer, blood pressure sensor, wherein being the sensor mainly opened with speech transducer, by server decision Layer judges whether children are struggling and why to struggle.Such as confirming that children may be kidnaped, i.e. decision sensing layer is goed deep into starting, Accelerate the sample frequency of necessary sensor by the instruction of server decision-making level, and opens camera module and GPS module, essence Really confirm the danger that children are met with, while adjusting the scheduling mechanism of sensor according to collected data intelligence.If judgement It obtains children and is in the state being kidnaped really, then sounded an alarm by the APP on parent's mobile phone to parent.Since situation is tight Anxious, wrist-watch will start sound acquisition module, camera module and GPS module, provide voice, video and position to the neighbouring police Information, the auxiliary police judge the danger of children and save children.
The above embodiment is a preferred embodiment of the present invention, but embodiments of the present invention are not by above-described embodiment Limitation, other any changes, modifications, substitutions, combinations, simplifications made without departing from the spirit and principles of the present invention, It should be equivalent substitute mode, be included within the scope of the present invention.

Claims (9)

1. a kind of sensor hierarchical intelligence of children's safety wrist-watch dispatches system, which is characterized in that including MCU decision-making level, service Device decision-making level, basic sensing layer, preliminary decision sensing layer go deep into decision sensing layer and extraneous communication sensing layer;MCU decision-making level point Do not connect with basic sensing layer, preliminary decision sensing layer, server decision-making level respectively with preliminary decision sensing layer, go deep into decision pass Feel layer connection, gos deep into the connection of decision sensing layer communication with the outside world sensing layer;MCU decision-making level is responsible at simple decision and data Reason, server decision-making level are responsible for complicated decision and data processing;Basic sensing layer, preliminary decision sensing layer go deep into decision biography Sense layer is used to each sensor of scheduling children's safety wrist-watch.
2. sensor hierarchical intelligence according to claim 1 dispatches system, which is characterized in that scheduled in basic sensing layer Sensor data collected are used to carry out children's local environment the judgement of early period;Sensor scheduled in basic sensing layer with The simple decision model for being equipped on MCU carries out data exchange, and when the data acquired in the sensor reach certain threshold value, basis is passed Sense layer is just fed back to MCU decision-making level, and the instruction of next step is made by MCU decision-making level.
3. sensor hierarchical intelligence according to claim 2 dispatches system, which is characterized in that scheduled in basic sensing layer Sensor data collected include blood pressure, the acceleration of the heart rate of pulse wave sensing module acquisition, the acquisition of blood pressure sensing module The location information that the acceleration and GPS module that sensing module obtains obtain.
4. sensor hierarchical intelligence according to claim 1 dispatches system, which is characterized in that preliminary decision sensing layer is adjusted Data acquired in the sensor of degree are given server and are handled, and preliminary judgement is obtained by server, are used for server Family behavioural habits are commonly used to correct the decision model in server.
5. sensor hierarchical intelligence according to claim 1 dispatches system, which is characterized in that preliminary decision sensing layer is adjusted Data acquired in the sensor of degree include the sound of the pulse wave information of pulse wave sensor acquisition, sound acquisition module acquisition Information.
6. sensor hierarchical intelligence according to claim 1 dispatches system, which is characterized in that preliminary decision sensing layer is adjusted The sensor of degree and the frequency for obtaining data change, to cope with different environment.
7. sensor hierarchical intelligence according to claim 1 dispatches system, which is characterized in that go deep into decision sensing layer and adjusted Sensor is spent by the scheduling of server decision-making level.
8. a kind of sensor hierarchical intelligence dispatching method of children's safety wrist-watch, which comprises the following steps:
S1. under daily state, basic sensing layer is maintained a normally open, and the data that will acquire are submitted to MCU decision-making level and simply sentenced It is disconnected;When data reach threshold value, MCU decision-making level is judged as into risk status, starts to call preliminary decision sensing layer;
S2. after calling preliminary decision sensing layer, MCU decision-making level is enabled by collecting the different of data in basic sensing layer It is preset at sensor calling model different in MCU, to determine to call the type and frequency of sensor;Meanwhile it will be collected Data are submitted to server decision-making level, carry out preliminary decision by server decision-making level and judge, while collected data are also used Judgment models in amendment server;If it is determined that being then withdrawn into daily state without danger, basic sensing is reactivated Layer;If it is determined that it is dangerous, then it calls and gos deep into decision sensing layer, carry out further accurate judgement;
S3. enter and go deep into after decision sensing layer, the calling of sensor will be controlled by server decision-making level, and sensor then constantly will Data are committed to server decision-making level, make accurate judgement by server decision-making level;If being finally judged as no danger, will move out To preliminary decision sensing layer, continue observation a period of time;If being judged as no danger in preliminary decision sensing layer, daily shape is returned to State;If being finally judged as dangerous, the function of video calling or voice communication is automatically opened, Xiang Jiachang is sounded an alarm, by family Length is come the measure that judged and handled it.
9. sensor hierarchical intelligence dispatching method according to claim 8, which is characterized in that further comprise the steps of:
S4. when wearer is in the biggish state of palpitating speed, acceleration, i.e., it is believed that wearer is in strenuous exercise's state Or emotional instability state, start preliminary decision sensing layer;
Preliminary decision sensing layer first passes through the obtained data characteristics of basic sensing layer and judges that children are in struggle state, to open With struggle monitoring sensor scheduling model preset in MCU decision-making level, pulse wave sensor is enabled according to scheduling model, voice passes Sensor, blood pressure sensor judge whether children are struggling and why to struggle by server decision-making level;
Such as confirm that children are kidnaped, i.e. decision sensing layer is goed deep into starting, accelerates necessary sensing by the instruction of server decision-making level The sample frequency of device, and camera module and GPS module are opened, accurately confirm the danger that children are met with, while basis The scheduling mechanism of collected data intelligence adjustment sensor.
CN201910174236.XA 2019-03-08 2019-03-08 Sensor grading intelligent scheduling system and method for child safety watch Active CN109953748B (en)

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