CN105223424B - Transformer station's on-Line Monitor Device - Google Patents

Transformer station's on-Line Monitor Device Download PDF

Info

Publication number
CN105223424B
CN105223424B CN201510776401.0A CN201510776401A CN105223424B CN 105223424 B CN105223424 B CN 105223424B CN 201510776401 A CN201510776401 A CN 201510776401A CN 105223424 B CN105223424 B CN 105223424B
Authority
CN
China
Prior art keywords
benchmark
filtering
signal
age bracket
tested personnel
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Fee Related
Application number
CN201510776401.0A
Other languages
Chinese (zh)
Other versions
CN105223424A (en
Inventor
王攀
苏建
卢忠新
曺敬峰
祁光峰
许凯
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
State Grid Corp of China SGCC
Yucheng Power Supply Co of State Grid Shandong Electric Power Co Ltd
Original Assignee
State Grid Corp of China SGCC
Yucheng Power Supply Co of State Grid Shandong Electric Power Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by State Grid Corp of China SGCC, Yucheng Power Supply Co of State Grid Shandong Electric Power Co Ltd filed Critical State Grid Corp of China SGCC
Priority to CN201510776401.0A priority Critical patent/CN105223424B/en
Priority to CN201510997474.2A priority patent/CN105467224A/en
Publication of CN105223424A publication Critical patent/CN105223424A/en
Application granted granted Critical
Publication of CN105223424B publication Critical patent/CN105223424B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • 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 present invention relates to a kind of transformer station on-Line Monitor Device, it comprises extraction equipment, identification equipment, storage chip, electrode, low-pass filter etc.By adopting the present invention, avoiding and can only carry out manually in the past, inefficiency, inconvenient problem.The present invention is undertaken by on-line intelligence monitoring system, thus meets the intelligent requirements of power department transformer station on-Line Monitor Device.

Description

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 (1)

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,
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.
CN201510776401.0A 2015-11-13 2015-11-13 Transformer station's on-Line Monitor Device Expired - Fee Related CN105223424B (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN201510776401.0A CN105223424B (en) 2015-11-13 2015-11-13 Transformer station's on-Line Monitor Device
CN201510997474.2A CN105467224A (en) 2015-11-13 2015-11-13 Online monitoring device for transformer substation

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510776401.0A CN105223424B (en) 2015-11-13 2015-11-13 Transformer station's on-Line Monitor Device

Related Child Applications (1)

Application Number Title Priority Date Filing Date
CN201510997474.2A Division CN105467224A (en) 2015-11-13 2015-11-13 Online monitoring device for transformer substation

Publications (2)

Publication Number Publication Date
CN105223424A CN105223424A (en) 2016-01-06
CN105223424B true CN105223424B (en) 2016-04-13

Family

ID=54992490

Family Applications (2)

Application Number Title Priority Date Filing Date
CN201510997474.2A Pending CN105467224A (en) 2015-11-13 2015-11-13 Online monitoring device for transformer substation
CN201510776401.0A Expired - Fee Related CN105223424B (en) 2015-11-13 2015-11-13 Transformer station's on-Line Monitor Device

Family Applications Before (1)

Application Number Title Priority Date Filing Date
CN201510997474.2A Pending CN105467224A (en) 2015-11-13 2015-11-13 Online monitoring device for transformer substation

Country Status (1)

Country Link
CN (2) CN105467224A (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
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

Family Cites Families (8)

* 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
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
CN102302361B (en) * 2011-06-24 2013-02-13 东北大学 Device for monitoring heart rate and physical state
CN104143097B (en) * 2013-05-09 2017-02-08 腾讯科技(深圳)有限公司 Classification function obtaining method and device, face age recognition method and device and equipment
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

Also Published As

Publication number Publication date
CN105467224A (en) 2016-04-06
CN105223424A (en) 2016-01-06

Similar Documents

Publication Publication Date Title
CN108701357B (en) Device, system and method for skin detection
CN105205984A (en) Patrol instrument for extra-high voltage power transmission line
CN106073736A (en) A kind of extendible human parameters monitoring and control recording system
CN203290905U (en) Non-contact automatic respiration measuring system
CN112890792A (en) Cloud computing cardiovascular health monitoring system and method based on network camera
CN101627906A (en) Portable multiparameter health monitoring system
CN111481207A (en) Sleep posture recognition device and method based on cardiac shock signal
CN110477887A (en) A kind of monitoring device of non-invasive long-range apnea syndrome
CN113633260A (en) Multi-sleep monitoring method, monitor, computer device and readable storage medium
CN111839492A (en) Heart rate non-contact type measuring method based on face video sequence
CN108010579A (en) Health monitoring system
CN105223424B (en) Transformer station's on-Line Monitor Device
CN105232037B (en) A kind of transformer station on-Line Monitor Device
CN105411568A (en) Automatic medical monitoring method
CN112545455A (en) Multi-channel integrated non-contact vital sign monitoring system
CN105411533A (en) Multifunctional medical monitoring alarming platform
CN105395191A (en) Age group detection-based personnel physiological status detection device
CN114469004A (en) Human sleep health monitoring method based on fiber bragg grating sensor
CN107280650A (en) Life entity characteristic parameter acquisition methods and device
CN105433942A (en) Intelligent double-physiological-parameter monitoring method
CN106821368B (en) Small-sized electrocardiogram acquisition equipment, cardiac diagnosis lead signal method for transformation and detection method
CN105411585A (en) Multifunctional medical monitoring alarming method
CN105433939A (en) Personnel physiological state detecting method based on age group detection
CN105433941A (en) Intelligent multi-parameter detection platform
CN105411570A (en) Automatic medical monitoring device

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C41 Transfer of patent application or patent right or utility model
CB03 Change of inventor or designer information

Inventor after: Wang Pan

Inventor after: Su Jian

Inventor after: Lu Zhongxin

Inventor after: Cao Jingfeng

Inventor after: Qi Guangfeng

Inventor after: Xu Kai

Inventor before: Zhang Ximei

COR Change of bibliographic data
TA01 Transfer of patent application right

Effective date of registration: 20160308

Address after: 100032 West Chang'an Avenue, Beijing, No. 86, No.

Applicant after: State Grid Corporation of China

Applicant after: STATE GRID SHANDONG ELECTRIC POWER COMPANY, YUCHENG POWER SUPPLY COMPANY

Address before: 054012 Xingtai City, Hebei province Xingtai County Hebei Home Village No. 19

Applicant before: Zhang Ximei

C14 Grant of patent or utility model
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20160413

Termination date: 20161113

CF01 Termination of patent right due to non-payment of annual fee