CN105467224A - Online monitoring device for transformer substation - Google Patents

Online monitoring device for transformer substation Download PDF

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Publication number
CN105467224A
CN105467224A CN201510997474.2A CN201510997474A CN105467224A CN 105467224 A CN105467224 A CN 105467224A CN 201510997474 A CN201510997474 A CN 201510997474A CN 105467224 A CN105467224 A CN 105467224A
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benchmark
filtering
signal
tested personnel
age bracket
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张希梅
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R29/00Arrangements for measuring or indicating electric quantities not covered by groups G01R19/00 - G01R27/00
    • G01R29/08Measuring electromagnetic field characteristics
    • 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
    • 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
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/369Electroencephalography [EEG]
    • GPHYSICS
    • G08SIGNALLING
    • G08CTRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
    • G08C17/00Arrangements for transmitting signals characterised by the use of a wireless electrical link
    • G08C17/02Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link

Abstract

The invention relates to an online monitoring device for a transformer substation. The device comprises an extraction device, an identification device, a storage chip, electrodes and a low pass filter, etc. Through application of the device provided by the invention, the problems including low efficiency and inconvenience caused by former manual operations can be avoided. The device provided by the invention is operated by an online intelligent monitoring system, so that intelligence requirements for the online monitoring device of the transformer substation of an electric power department can be satisfied.

Description

Transformer station's on-Line Monitor Device
The divisional application that the present invention is application number is 2015107764010, the applying date is on November 13rd, 2015, denomination of invention is the patent of " transformer station's on-Line Monitor Device ".
Technical field
The present invention relates to power domain, particularly relate to a kind of transformer station on-Line Monitor Device.
Background technology
Because people are more and more higher for the requirement of environmental protection, the region that transformer station has been unsuitable for the density of population is larger is arranged, its area that often selection and comparison is remote.Because position is remote, need to carry out on-line monitoring to ensure its normal operation that is healthy and transformer station to the staff of the inside.
In all one's life of people, multiple age bracket to be experienced from growing to death.The division of World Health Organization to age bracket is as follows: 0 to 2 year old half are child, within 2 years old half to 6 years old, is children, within 7 to 17 years old, is juvenile, within 18 to 40 years old, is young, within 41 to 65 years old, is the middle age, within 66 years old, is old later.For simplicity, some countries will: 0 to 2 year old half be child, within 2 years old half to 6 years old, be children, and within 7 to 65 years old, be adult, 66 years old is later is old age, as main age dividing mode.
The interval that its each physiological parameter of the people of Different age group distributes is different, if adopt the detecting instrument with identical parameters threshold value to carry out physiological status detection to the people of Different age group, diverse testing result may be obtained, very likely mistaken diagnosis can occur therebetween, serious meeting causes over-treatment or delays the state of an illness.But, there is not the medical device can selecting different physiological parameter threshold based on Different age group in prior art, even lack artificial cognition age bracket, on recognition result, manually adjust the technical scheme of physiological parameter threshold.
Meanwhile, it is single all to there is testing mechanism in various physical parameter detector device of the prior art, and each instrument is general only for detecting a physiological parameter; And testing mechanism falls behind, the structural redundancy of detecting instrument is not high, the accurate not defect of precision, even if cause the people for same age bracket to detect, accuracy of detection is also difficult to meet medical demands, and the power dissipation ratio that instrument runs is also higher, and cost performance is reasonable not.
For this reason, the present invention proposes a kind of transformer station on-Line Monitor Device, Electrocardiography equipment and brain wave checkout equipment are concentrated in a detecting instrument and works simultaneously, optimize the structure of existing checkout equipment, more crucially, for the personnel to be measured of four age brackets divided, the technology of high precision image identification is adopted to carry out age bracket identification, and different physiological parameter threshold value of warning is set adaptively according to the result of age bracket identification, thus realize the intellectualized detection of Medical Instruments.
Summary of the invention
In order to solve the technical matters that prior art exists, the invention provides a kind of transformer station on-Line Monitor Device, brain wave checkout equipment and Electrocardiography equipment are concentrated in a detecting instrument and works simultaneously, optimize the structure of existing checkout equipment, more crucially, for the personnel to be measured of four age brackets divided, the technology of high precision image identification is adopted to carry out age bracket identification, and each different physiological parameter threshold value of warning is set adaptively according to the result of age bracket identification, thus improve the precision of testing result.
According to an aspect of the present invention, provide a kind of transformer station on-Line Monitor Device, described monitoring device comprises brain wave parameter extraction equipment, electrocardiogram parameters extraction equipment, age bracket identification equipment, SD storage chip and Freescale IMX6 chip, described SD storage chip has prestored each physiological parameter threshold of Different age group, described brain wave parameter extraction equipment is to tested personnel's brain wave monitoring state, the electrocardiogram parameters of electrocardiogram parameters threshold value to tested personnel of the age bracket that described electrocardiogram parameters extraction equipment mates based on tested personnel is monitored, described Freescale IMX6 chip is connected with described age bracket identification equipment and described SD storage chip, for realizing the age bracket coupling of tested personnel.
More specifically, in described transformer station on-Line Monitor Device, comprise: SD storage card, prestore facial tonal range, described facial tonal range is used for the human body face in image and background separation, described SD storage card has also prestored four kinds of gray processing face masterplates, described four kinds of gray processings face masterplate is by facial to benchmark child age bracket, benchmark child age section face, benchmark mature age section face and benchmark old man age bracket face carry out taking obtained face-image respectively and perform gray processing process and obtain, described SD storage card is also for prestoring the age bracket physiological parameter table of comparisons, the described age bracket physiological parameter table of comparisons saves child's age bracket, child age section, the benchmark pulse range that each age bracket in mature age section and old age bracket four kinds of age brackets is corresponding, benchmark sinus rate scope, benchmark PR interval, benchmark QT interval scope, benchmark blood sugar upper concentration, benchmark blood sugar least concentration, benchmark blood oxygen saturation upper concentration and benchmark blood oxygen saturation least concentration, picture pick-up device comprises domed transparent cover, floor light subset and CMOS camera, described domed transparent cover is for holding described floor light subset and described CMOS camera, described floor light subset provides floor light for the shooting of described CMOS camera, described CMOS camera to tested personnel's face shots to obtain tested personnel's face-image, age bracket identification equipment comprises Daubechies wavelet filtering subset, medium filtering subset, change of scale enhancer equipment, Target Segmentation subset and target recognin equipment, described Daubechies wavelet filtering subset is connected with described CMOS camera, for adopting the wavelet filtering process based on 2 rank Daubechies wavelet basiss to described tested personnel's face-image, with the Gaussian noise in tested personnel's face-image described in filtering, obtain wavelet filtering image, described medium filtering subset is connected with described Daubechies wavelet filtering subset, for performing medium filtering process to described wavelet filtering image, with the scattering composition in wavelet filtering image described in filtering, obtains medium filtering image, described change of scale enhancer equipment is connected with described medium filtering subset, strengthening process, to strengthen the contrast of object and background in image, obtaining and strengthening image for performing change of scale to described medium filtering image, described Target Segmentation subset is connected respectively with described change of scale enhancer equipment and described SD storage card, the all pixels of grey scale pixel value in described facial tonal range in described enhancing image are formed facial subimage, and described facial subimage is separated from the background of described tested personnel's face-image and obtains, described target recognin equipment is connected respectively with described Target Segmentation subset and described SD storage card, by described facial subimage and four kinds of gray processings face stencil matchings, the highest age bracket corresponding to gray processing face template of output matching degree is as the age bracket of tested personnel, detecting electrode, is arranged on tested personnel's head, the voltage variety that the neuron activity for detecting brain arrives cerebral cortex by ionic conduction and formed, difference preamplifier, is connected with described detecting electrode, for amplifying described voltage variety, low-pass filter, is connected with described difference preamplifier, for the voltage variety after amplification is carried out 100Hz low-pass filtering, to export the first filtering signal, two-stage power frequency notch filter, is connected with described low-pass filter, for carrying out the process of two-stage notch filter, to export notched signal to described first filtering signal, Hi-pass filter, is connected with described two-stage power frequency notch filter, for carrying out 0.1Hz high-pass filtering to described notched signal, to export the second filtering signal, level adjustment circuit, is connected with described Hi-pass filter, carries out level adjustment process to described second filtering signal, thinks that subsequent A/D conversion is prepared, first analog to digital conversion circuit, is connected with described level adjustment circuit, the second filtering signal after level adjustment process is carried out the analog to digital conversion of 8, to obtain the brain wave digital signal of tested personnel, signal collecting device, comprise multiple electrode for medical service and multiple movement locus sensor, described multiple electrode for medical service is separately positioned on multiple fixed positions at tested personnel's body surface place, for extracting multiple voltages that tested personnel's cardioelectric field produces respectively in multiple fixed positions at body surface place, each movement locus sensor is close to an electrode for medical service and places, for extracting the drift electrocardio voltage signal that corresponding position tested personnel produces because of breathing and human motion, movement locus abatement apparatus, be not connected with described multiple electrode for medical service and described multiple movement locus sensor, the drift electrocardio voltage signal that each voltage produced by each electrode for medical service and corresponding movement locus sensor produce is sued for peace, to obtain corresponding target voltage, lead circuit, is connected with described movement locus abatement apparatus, for receiving multiple target voltage, calculating electrocardio voltage difference based on described multiple target voltage and exporting, signal amplification circuit, is connected with the described circuit that leads, for receiving described electrocardio voltage difference and amplifying described electrocardio voltage difference, bandwidth-limited circuit, is connected with described signal amplification circuit, and the noise contribution in the electrocardio voltage difference after amplifying for filtering is to obtain filtered electrical pressure reduction, second analog to digital conversion circuit, is connected with described bandwidth-limited circuit, for carrying out analog to digital conversion to filtered electrical pressure reduction, to obtain digitized voltage difference, electrocardiogram parameters extracts circuit, is connected with described second analog to digital converter, extracts sinus rate and the QT interval of tested personnel based on described digitized voltage difference, Freescale IMX6 chip, extract circuit with described first analog to digital conversion circuit and described electrocardiogram parameters to be connected respectively, for receiving brain wave digital signal respectively, sinus rate and QT interval, when there is α ripple and β ripple in described brain wave digital signal, export shallow sleep identification signal, when there is θ ripple and δ ripple in described brain wave digital signal, export deep sleep identification signal, when described sinus rate is outside default sinus rate scope, send sinus rate anomalous identification signal, when described QT interval, is outside default QT interval scope, send QT interval anomalous identification signal, wherein, Freescale IMX6 chip is also connected respectively with age bracket identification equipment and SD storage card, age bracket based on the tested personnel of age bracket identification equipment output determines benchmark pulse range in the described age bracket physiological parameter table of comparisons, benchmark sinus rate scope, benchmark PR interval, benchmark QT interval scope, benchmark blood sugar upper concentration, benchmark blood sugar least concentration, benchmark blood oxygen saturation upper concentration and benchmark blood oxygen saturation least concentration, and as presetting pulse range, preset sinus rate scope, preset PR interval, preset QT interval scope, preset blood sugar upper concentration, preset blood sugar least concentration, preset blood oxygen saturation upper concentration and default blood oxygen saturation least concentration, wherein, described two-stage power frequency notch filter adopts bandpass filtering to offset patten's design, and for offsetting the power frequency component in described first filtering signal, described power frequency component is 50Hz frequency component, wherein, described electrocardio voltage difference comprises multiple voltage difference.
More specifically, in described transformer station on-Line Monitor Device: the resolution of tested personnel's face-image that described CMOS camera obtains is 3840 × 2160.
More specifically, in described transformer station on-Line Monitor Device, described monitoring device also comprises: radio communication circuit, is connected with Freescale IMX6 chip, for the shallow sleep identification signal of wireless transmission, deep sleep identification signal, sinus rate anomalous identification signal or QT interval anomalous identification signal.
More specifically, in described transformer station on-Line Monitor Device: Daubechies wavelet filtering subset, medium filtering subset, change of scale enhancer equipment, Target Segmentation subset and target recognin equipment adopt different CPLD chips to realize respectively.
More specifically, in described transformer station on-Line Monitor Device: Daubechies wavelet filtering subset, medium filtering subset, change of scale enhancer equipment, Target Segmentation subset and target recognin equipment are implemented in same CPLD chip.
Accompanying drawing explanation
Below with reference to accompanying drawing, embodiment of the present invention are described, wherein:
Fig. 1 is the block diagram of the first embodiment of transformer station of the present invention on-Line Monitor Device.
Reference numeral: 1 brain wave parameter extraction equipment; 2 electrocardiogram parameters extraction equipments; 3 age bracket identification equipments; 4SD storage chip; 5 Freescale IMX6 chips
Embodiment
Below with reference to accompanying drawings the embodiment of transformer station of the present invention on-Line Monitor Device is described in detail.
Be in the people of Different age group, present different features in shape, meanwhile, interior upper, its each physiological parameter is all distributed in different scopes.
From the appearance, different age brackets is distinguished to some extent in the features such as the colour of skin, wink, color development, height.From inner structure, different age brackets is also different in every physiological parameter distribution range, if adopt identical physiological parameter threshold to monitor to Different age group, the possibility of result of monitoring differs greatly from right value.If there is mistaken diagnosis phenomenon, such as over-treatment even delays the state of an illness, is all that tested personnel can not bear.
The physio-parameter detection mechanism based on age bracket identification is lacked in prior art, simultaneously, each physiological parameter instrument of the prior art generally only detects single physiological parameter, comprehensive detection cannot be carried out, and existing physiological parameter instrument structural redundancy is high, accuracy of detection is on the low side, needs to carry out certain optimization to its structure.
For this reason, the present invention has built a kind of transformer station on-Line Monitor Device, to be integrated in a detecting instrument through the high-precision brain wave watch-dog of structure optimization and cardiogram watch-dog, adopt age bracket identification equipment targetedly to identify tested personnel simultaneously, on this basis, the accurate detection and Identification of the physiological status to tested personnel are completed.
Fig. 1 is the block diagram of the first embodiment of transformer station of the present invention on-Line Monitor Device, described monitoring device comprises brain wave parameter extraction equipment, electrocardiogram parameters extraction equipment, age bracket identification equipment, SD storage chip and Freescale IMX6 chip, described SD storage chip has prestored each physiological parameter threshold of Different age group, described brain wave parameter extraction equipment is to tested personnel's brain wave monitoring state, the electrocardiogram parameters of electrocardiogram parameters threshold value to tested personnel of the age bracket that described electrocardiogram parameters extraction equipment mates based on tested personnel is monitored, described Freescale IMX6 chip is connected with described age bracket identification equipment and described SD storage chip, for realizing the age bracket coupling of tested personnel.
Then, continue to be further detailed the concrete structure of the second embodiment of transformer station of the present invention on-Line Monitor Device.
Described monitoring device comprises: SD storage card, prestore facial tonal range, described facial tonal range is used for the human body face in image and background separation, described SD storage card has also prestored four kinds of gray processing face masterplates, and described four kinds of gray processings face masterplate is by facial to benchmark child age bracket, benchmark child age section face, benchmark mature age section face and benchmark old man age bracket face carry out taking obtained face-image respectively and perform gray processing process and obtain, described SD storage card is also for prestoring the age bracket physiological parameter table of comparisons, and the described age bracket physiological parameter table of comparisons saves child's age bracket, child age section, the benchmark pulse range that each age bracket in mature age section and old age bracket four kinds of age brackets is corresponding, benchmark sinus rate scope, benchmark PR interval, benchmark QT interval scope, benchmark blood sugar upper concentration, benchmark blood sugar least concentration, benchmark blood oxygen saturation upper concentration and benchmark blood oxygen saturation least concentration.
Described monitoring device comprises: picture pick-up device comprises domed transparent cover, floor light subset and CMOS camera, described domed transparent cover is for holding described floor light subset and described CMOS camera, described floor light subset provides floor light for the shooting of described CMOS camera, described CMOS camera to tested personnel's face shots to obtain tested personnel's face-image.
Described monitoring device comprises: age bracket identification equipment, comprises Daubechies wavelet filtering subset, medium filtering subset, change of scale enhancer equipment, Target Segmentation subset and target recognin equipment; Described Daubechies wavelet filtering subset is connected with described CMOS camera, for adopting the wavelet filtering process based on 2 rank Daubechies wavelet basiss to described tested personnel's face-image, with the Gaussian noise in tested personnel's face-image described in filtering, obtain wavelet filtering image; Described medium filtering subset is connected with described Daubechies wavelet filtering subset, for performing medium filtering process to described wavelet filtering image, with the scattering composition in wavelet filtering image described in filtering, obtains medium filtering image; Described change of scale enhancer equipment is connected with described medium filtering subset, strengthening process, to strengthen the contrast of object and background in image, obtaining and strengthening image for performing change of scale to described medium filtering image; Described Target Segmentation subset is connected respectively with described change of scale enhancer equipment and described SD storage card, the all pixels of grey scale pixel value in described facial tonal range in described enhancing image are formed facial subimage, and described facial subimage is separated from the background of described tested personnel's face-image and obtains; Described target recognin equipment is connected respectively with described Target Segmentation subset and described SD storage card, by described facial subimage and four kinds of gray processings face stencil matchings, the highest age bracket corresponding to gray processing face template of output matching degree is as the age bracket of tested personnel.
Described monitoring device comprises: detecting electrode, is arranged on tested personnel's head, the voltage variety that the neuron activity for detecting brain arrives cerebral cortex by ionic conduction and formed; Difference preamplifier, is connected with described detecting electrode, for amplifying described voltage variety; Low-pass filter, is connected with described difference preamplifier, for the voltage variety after amplification is carried out 100Hz low-pass filtering, to export the first filtering signal.
Described monitoring device comprises: two-stage power frequency notch filter, is connected with described low-pass filter, for carrying out the process of two-stage notch filter, to export notched signal to described first filtering signal; Hi-pass filter, is connected with described two-stage power frequency notch filter, for carrying out 0.1Hz high-pass filtering to described notched signal, to export the second filtering signal; Level adjustment circuit, is connected with described Hi-pass filter, carries out level adjustment process to described second filtering signal, thinks that subsequent A/D conversion is prepared.
Described monitoring device comprises: the first analog to digital conversion circuit, is connected with described level adjustment circuit, the second filtering signal after level adjustment process is carried out the analog to digital conversion of 8, to obtain the brain wave digital signal of tested personnel; Signal collecting device, comprise multiple electrode for medical service and multiple movement locus sensor, described multiple electrode for medical service is separately positioned on multiple fixed positions at tested personnel's body surface place, for extracting multiple voltages that tested personnel's cardioelectric field produces respectively in multiple fixed positions at body surface place, each movement locus sensor is close to an electrode for medical service and places, for extracting the drift electrocardio voltage signal that corresponding position tested personnel produces because of breathing and human motion.
Described monitoring device comprises: movement locus abatement apparatus, be not connected with described multiple electrode for medical service and described multiple movement locus sensor, the drift electrocardio voltage signal that each voltage produced by each electrode for medical service and corresponding movement locus sensor produce is sued for peace, to obtain corresponding target voltage; Lead circuit, is connected with described movement locus abatement apparatus, for receiving multiple target voltage, calculating electrocardio voltage difference based on described multiple target voltage and exporting.
Described monitoring device comprises: signal amplification circuit, is connected with the described circuit that leads, for receiving described electrocardio voltage difference and amplifying described electrocardio voltage difference; Bandwidth-limited circuit, is connected with described signal amplification circuit, and the noise contribution in the electrocardio voltage difference after amplifying for filtering is to obtain filtered electrical pressure reduction; Second analog to digital conversion circuit, is connected with described bandwidth-limited circuit, for carrying out analog to digital conversion to filtered electrical pressure reduction, to obtain digitized voltage difference; Electrocardiogram parameters extracts circuit, is connected with described second analog to digital converter, extracts sinus rate and the QT interval of tested personnel based on described digitized voltage difference.
Described monitoring device comprises: Freescale IMX6 chip, extract circuit with described first analog to digital conversion circuit and described electrocardiogram parameters to be connected respectively, for receiving brain wave digital signal respectively, sinus rate and QT interval, when there is α ripple and β ripple in described brain wave digital signal, export shallow sleep identification signal, when there is θ ripple and δ ripple in described brain wave digital signal, export deep sleep identification signal, when described sinus rate is outside default sinus rate scope, send sinus rate anomalous identification signal, when described QT interval, is outside default QT interval scope, send QT interval anomalous identification signal.
Wherein, Freescale IMX6 chip is also connected respectively with age bracket identification equipment and SD storage card, age bracket based on the tested personnel of age bracket identification equipment output determines benchmark pulse range in the described age bracket physiological parameter table of comparisons, benchmark sinus rate scope, benchmark PR interval, benchmark QT interval scope, benchmark blood sugar upper concentration, benchmark blood sugar least concentration, benchmark blood oxygen saturation upper concentration and benchmark blood oxygen saturation least concentration, and as presetting pulse range, preset sinus rate scope, preset PR interval, preset QT interval scope, preset blood sugar upper concentration, preset blood sugar least concentration, preset blood oxygen saturation upper concentration and default blood oxygen saturation least concentration.
Wherein, described two-stage power frequency notch filter adopts bandpass filtering to offset patten's design, and for offsetting the power frequency component in described first filtering signal, described power frequency component is 50Hz frequency component; Wherein, described electrocardio voltage difference comprises multiple voltage difference.
Alternatively, in described transformer station on-Line Monitor Device: the resolution of tested personnel's face-image that described CMOS camera obtains is 3840 × 2160; Described monitoring device also comprises: radio communication circuit, is connected with Freescale IMX6 chip, for the shallow sleep identification signal of wireless transmission, deep sleep identification signal, sinus rate anomalous identification signal or QT interval anomalous identification signal; Daubechies wavelet filtering subset, medium filtering subset, change of scale enhancer equipment, Target Segmentation subset and target recognin equipment adopt different CPLD chips to realize respectively; Daubechies wavelet filtering subset, medium filtering subset, change of scale enhancer equipment, Target Segmentation subset and target recognin equipment are implemented in same CPLD chip.
In addition, analog to digital converter and A/D converter, or be called for short ADC, typically referring to one by analog-signal transitions is the electronic component of digital signal.Common analog to digital converter an input voltage signal is converted to a digital signal exported.Because digital signal itself does not have practical significance, only represent a relative size.Therefore any one analog to digital converter all needs one with reference to the standard of analog quantity as conversion, more common normative reference is maximum convertible signal magnitude.The digital quantity exported then represents the size of input signal relative to reference signal.
The resolution of analog-digital converter refers to, for the simulating signal in allowed band, it can export the number of discrete digital signal value.These signal values store with binary number usually, and therefore resolution is through commonly using bit as unit, and the number of these discrete values is power exponents of 2.Such as, simulating signal can be encoded into 256 different discrete values (because 2^8=256) by analog-digital converter with 8 bit resolutions, from 0 to 255 (i.e. signless integers) or from-128 to 127 (i.e. signed integers), any as use, then depend on concrete application.
Adopt transformer station of the present invention on-Line Monitor Device,, structure single for tested personnel's physio-parameter detection in prior art is optimized not and is lacked the technical matters of the intellectualized detection mechanism based on age bracket identification, high-precision cardiogram watch-dog after de-redundant remaining and brain wave watch-dog are collected in a detecting instrument, image recognition technology is adopted to detect targetedly tested personnel's age bracket, and the detection completed on the basis of age bracket identification the physiological status of tested personnel and early warning.
Be understandable that, although the present invention with preferred embodiment disclose as above, but above-described embodiment and be not used to limit the present invention.For any those of ordinary skill in the art, do not departing under technical solution of the present invention ambit, the technology contents of above-mentioned announcement all can be utilized to make many possible variations and modification to technical solution of the present invention, or be revised as the Equivalent embodiments of equivalent variations.Therefore, every content not departing from technical solution of the present invention, according to technical spirit of the present invention to any simple modification made for any of the above embodiments, equivalent variations and modification, all still belongs in the scope of technical solution of the present invention protection.

Claims (2)

1. transformer station's on-Line Monitor Device, described monitoring device comprises brain wave parameter extraction equipment, electrocardiogram parameters extraction equipment, age bracket identification equipment, SD storage chip and Freescale IMX6 chip, described SD storage chip has prestored each physiological parameter threshold of Different age group, described brain wave parameter extraction equipment is to tested personnel's brain wave monitoring state, the electrocardiogram parameters of electrocardiogram parameters threshold value to tested personnel of the age bracket that described electrocardiogram parameters extraction equipment mates based on tested personnel is monitored, described Freescale IMX6 chip is connected with described age bracket identification equipment and described SD storage chip, for realizing the age bracket coupling of tested personnel.
2. transformer station as claimed in claim 1 on-Line Monitor Device, it is characterized in that, described monitoring device comprises:
SD storage card, prestore facial tonal range, described facial tonal range is used for the human body face in image and background separation, described SD storage card has also prestored four kinds of gray processing face masterplates, described four kinds of gray processings face masterplate is by facial to benchmark child age bracket, benchmark child age section face, benchmark mature age section face and benchmark old man age bracket face carry out taking obtained face-image respectively and perform gray processing process and obtain, described SD storage card is also for prestoring the age bracket physiological parameter table of comparisons, the described age bracket physiological parameter table of comparisons saves child's age bracket, child age section, the benchmark pulse range that each age bracket in mature age section and old age bracket four kinds of age brackets is corresponding, benchmark sinus rate scope, benchmark PR interval, benchmark QT interval scope, benchmark blood sugar upper concentration, benchmark blood sugar least concentration, benchmark blood oxygen saturation upper concentration and benchmark blood oxygen saturation least concentration,
Picture pick-up device comprises domed transparent cover, floor light subset and CMOS camera, described domed transparent cover is for holding described floor light subset and described CMOS camera, described floor light subset provides floor light for the shooting of described CMOS camera, described CMOS camera to tested personnel's face shots to obtain tested personnel's face-image;
Age bracket identification equipment comprises Daubechies wavelet filtering subset, medium filtering subset, change of scale enhancer equipment, Target Segmentation subset and target recognin equipment; Described Daubechies wavelet filtering subset is connected with described CMOS camera, for adopting the wavelet filtering process based on 2 rank Daubechies wavelet basiss to described tested personnel's face-image, with the Gaussian noise in tested personnel's face-image described in filtering, obtain wavelet filtering image; Described medium filtering subset is connected with described Daubechies wavelet filtering subset, for performing medium filtering process to described wavelet filtering image, with the scattering composition in wavelet filtering image described in filtering, obtains medium filtering image; Described change of scale enhancer equipment is connected with described medium filtering subset, strengthening process, to strengthen the contrast of object and background in image, obtaining and strengthening image for performing change of scale to described medium filtering image; Described Target Segmentation subset is connected respectively with described change of scale enhancer equipment and described SD storage card, the all pixels of grey scale pixel value in described facial tonal range in described enhancing image are formed facial subimage, and described facial subimage is separated from the background of described tested personnel's face-image and obtains; Described target recognin equipment is connected respectively with described Target Segmentation subset and described SD storage card, by described facial subimage and four kinds of gray processings face stencil matchings, the highest age bracket corresponding to gray processing face template of output matching degree is as the age bracket of tested personnel;
Detecting electrode, is arranged on tested personnel's head, the voltage variety that the neuron activity for detecting brain arrives cerebral cortex by ionic conduction and formed;
Difference preamplifier, is connected with described detecting electrode, for amplifying described voltage variety;
Low-pass filter, is connected with described difference preamplifier, for the voltage variety after amplification is carried out 100Hz low-pass filtering, to export the first filtering signal;
Two-stage power frequency notch filter, is connected with described low-pass filter, for carrying out the process of two-stage notch filter, to export notched signal to described first filtering signal;
Hi-pass filter, is connected with described two-stage power frequency notch filter, for carrying out 0.1Hz high-pass filtering to described notched signal, to export the second filtering signal;
Level adjustment circuit, is connected with described Hi-pass filter, carries out level adjustment process to described second filtering signal, thinks that subsequent A/D conversion is prepared;
First analog to digital conversion circuit, is connected with described level adjustment circuit, the second filtering signal after level adjustment process is carried out the analog to digital conversion of 8, to obtain the brain wave digital signal of tested personnel;
Signal collecting device, comprise multiple electrode for medical service and multiple movement locus sensor, described multiple electrode for medical service is separately positioned on multiple fixed positions at tested personnel's body surface place, for extracting multiple voltages that tested personnel's cardioelectric field produces respectively in multiple fixed positions at body surface place, each movement locus sensor is close to an electrode for medical service and places, for extracting the drift electrocardio voltage signal that corresponding position tested personnel produces because of breathing and human motion;
Movement locus abatement apparatus, be not connected with described multiple electrode for medical service and described multiple movement locus sensor, the drift electrocardio voltage signal that each voltage produced by each electrode for medical service and corresponding movement locus sensor produce is sued for peace, to obtain corresponding target voltage;
Lead circuit, is connected with described movement locus abatement apparatus, for receiving multiple target voltage, calculating electrocardio voltage difference based on described multiple target voltage and exporting;
Signal amplification circuit, is connected with the described circuit that leads, for receiving described electrocardio voltage difference and amplifying described electrocardio voltage difference;
Bandwidth-limited circuit, is connected with described signal amplification circuit, and the noise contribution in the electrocardio voltage difference after amplifying for filtering is to obtain filtered electrical pressure reduction;
Second analog to digital conversion circuit, is connected with described bandwidth-limited circuit, for carrying out analog to digital conversion to filtered electrical pressure reduction, to obtain digitized voltage difference;
Electrocardiogram parameters extracts circuit, is connected with described second analog to digital converter, extracts sinus rate and the QT interval of tested personnel based on described digitized voltage difference;
Freescale IMX6 chip, extract circuit with described first analog to digital conversion circuit and described electrocardiogram parameters to be connected respectively, for receiving brain wave digital signal respectively, sinus rate and QT interval, when there is α ripple and β ripple in described brain wave digital signal, export shallow sleep identification signal, when there is θ ripple and δ ripple in described brain wave digital signal, export deep sleep identification signal, when described sinus rate is outside default sinus rate scope, send sinus rate anomalous identification signal, when described QT interval, is outside default QT interval scope, send QT interval anomalous identification signal,
Wherein, Freescale IMX6 chip is also connected respectively with age bracket identification equipment and SD storage card, age bracket based on the tested personnel of age bracket identification equipment output determines benchmark pulse range in the described age bracket physiological parameter table of comparisons, benchmark sinus rate scope, benchmark PR interval, benchmark QT interval scope, benchmark blood sugar upper concentration, benchmark blood sugar least concentration, benchmark blood oxygen saturation upper concentration and benchmark blood oxygen saturation least concentration, and as presetting pulse range, preset sinus rate scope, preset PR interval, preset QT interval scope, preset blood sugar upper concentration, preset blood sugar least concentration, preset blood oxygen saturation upper concentration and default blood oxygen saturation least concentration,
Wherein, described two-stage power frequency notch filter adopts bandpass filtering to offset patten's design, and for offsetting the power frequency component in described first filtering signal, described power frequency component is 50Hz frequency component;
Wherein, described electrocardio voltage difference comprises multiple voltage difference;
The resolution of tested personnel's face-image that described CMOS camera obtains is 3840 × 2160;
Radio communication circuit, is connected with Freescale IMX6 chip, for the shallow sleep identification signal of wireless transmission, deep sleep identification signal, sinus rate anomalous identification signal or QT interval anomalous identification signal.
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Families Citing this family (1)

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Publication number Priority date Publication date Assignee Title
CN110188678B (en) * 2019-05-29 2021-04-13 Oppo广东移动通信有限公司 Vein identification method and related product

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101474066A (en) * 2009-01-07 2009-07-08 上海大学 Method and system of blood pressure real time monitoring and remote timely service with acceleration sensor
CN101499018A (en) * 2008-01-28 2009-08-05 联想(北京)有限公司 Data processing unit and method
CN102302361A (en) * 2011-06-24 2012-01-04 东北大学 Device for monitoring heart rate and physical state
WO2014180121A1 (en) * 2013-05-09 2014-11-13 Tencent Technology (Shenzhen) Company Limited Systems and methods for facial age identification
CN104410522A (en) * 2014-11-27 2015-03-11 柳州市网中网络策划中心 Internet data management system with filtering function
CN104616002A (en) * 2015-03-06 2015-05-13 李志刚 Facial recognition equipment used for judging age groups
CN104949712A (en) * 2015-06-26 2015-09-30 天津宇迪智能技术有限公司 Cardio-cerebral coupling state detecting system, producing method and detecting method of cardio-cerebral coupling state detecting system

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP4518048B2 (en) * 2006-06-30 2010-08-04 パナソニック電工株式会社 Sleep test apparatus and sleep apnea test apparatus

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101499018A (en) * 2008-01-28 2009-08-05 联想(北京)有限公司 Data processing unit and method
CN101474066A (en) * 2009-01-07 2009-07-08 上海大学 Method and system of blood pressure real time monitoring and remote timely service with acceleration sensor
CN102302361A (en) * 2011-06-24 2012-01-04 东北大学 Device for monitoring heart rate and physical state
WO2014180121A1 (en) * 2013-05-09 2014-11-13 Tencent Technology (Shenzhen) Company Limited Systems and methods for facial age identification
CN104410522A (en) * 2014-11-27 2015-03-11 柳州市网中网络策划中心 Internet data management system with filtering function
CN104616002A (en) * 2015-03-06 2015-05-13 李志刚 Facial recognition equipment used for judging age groups
CN104949712A (en) * 2015-06-26 2015-09-30 天津宇迪智能技术有限公司 Cardio-cerebral coupling state detecting system, producing method and detecting method of cardio-cerebral coupling state detecting system

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
石坚: "《50Hz陷波器在脑电检测系统中的应用》", 《电工理论与新技术2004年学术研讨会论文集》 *

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