CN105205984A - Patrol instrument for extra-high voltage power transmission line - Google Patents
Patrol instrument for extra-high voltage power transmission line Download PDFInfo
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- CN105205984A CN105205984A CN201510750572.6A CN201510750572A CN105205984A CN 105205984 A CN105205984 A CN 105205984A CN 201510750572 A CN201510750572 A CN 201510750572A CN 105205984 A CN105205984 A CN 105205984A
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- 230000005540 biological transmission Effects 0.000 title claims abstract description 28
- 239000008280 blood Substances 0.000 claims abstract description 97
- 210000004369 blood Anatomy 0.000 claims abstract description 97
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims abstract description 96
- 239000001301 oxygen Substances 0.000 claims abstract description 96
- 229910052760 oxygen Inorganic materials 0.000 claims abstract description 96
- 238000001514 detection method Methods 0.000 claims abstract description 35
- 238000012544 monitoring process Methods 0.000 claims abstract description 10
- 238000004088 simulation Methods 0.000 claims description 36
- 238000006243 chemical reaction Methods 0.000 claims description 33
- 230000033001 locomotion Effects 0.000 claims description 21
- 230000011218 segmentation Effects 0.000 claims description 15
- 230000003321 amplification Effects 0.000 claims description 12
- 230000002547 anomalous effect Effects 0.000 claims description 12
- 238000001914 filtration Methods 0.000 claims description 12
- 238000003199 nucleic acid amplification method Methods 0.000 claims description 12
- 239000000284 extract Substances 0.000 claims description 9
- 230000001815 facial effect Effects 0.000 claims description 9
- 206010021143 Hypoxia Diseases 0.000 claims description 6
- 238000010521 absorption reaction Methods 0.000 claims description 6
- 208000018875 hypoxemia Diseases 0.000 claims description 6
- 238000000034 method Methods 0.000 claims description 6
- 230000009467 reduction Effects 0.000 claims description 6
- 230000008569 process Effects 0.000 claims description 5
- 230000003044 adaptive effect Effects 0.000 claims description 3
- 238000004891 communication Methods 0.000 claims description 3
- 230000029058 respiratory gaseous exchange Effects 0.000 claims description 3
- 238000005516 engineering process Methods 0.000 description 7
- 238000012360 testing method Methods 0.000 description 7
- 238000013461 design Methods 0.000 description 4
- 230000007246 mechanism Effects 0.000 description 4
- 230000006870 function Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000002565 electrocardiography Methods 0.000 description 2
- 102000001554 Hemoglobins Human genes 0.000 description 1
- 108010054147 Hemoglobins Proteins 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000000840 electrochemical analysis Methods 0.000 description 1
- 239000007789 gas Substances 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000000691 measurement method Methods 0.000 description 1
- 238000004064 recycling Methods 0.000 description 1
- 238000012827 research and development Methods 0.000 description 1
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/0202—Child monitoring systems using a transmitter-receiver system carried by the parent and the child
- G08B21/0205—Specific application combined with child monitoring using a transmitter-receiver system
- G08B21/0211—Combination with medical sensor, e.g. for measuring heart rate, temperature
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Abstract
The invention relates to a patrol instrument for an extra-high voltage power transmission line. The patrol instrument comprises face skin color detection equipment, electrocardiogram monitoring equipment, blood oxygen saturation monitoring equipment and a Sunplus SPCE061A chip, wherein the face skin color detection equipment is used for determining the skin color grade of measured personnel on the basis of the face of the measured personnel; the electrocardiogram monitoring equipment is used for monitoring electrocardiogram parameters of the measured personnel; the blood oxygen saturation monitoring equipment is used for determining the blood oxygen saturation grade of the measured personnel; the Sunplus SPCE061A chip is used for determining the blood oxygen supply state of the measured personnel on the basis of the skin color grade and the blood oxygen saturation grade. Through adoption of the patrol instrument, the blood oxygen supply state of the measured personnel can be evaluated more comprehensively while the electrocardiogram data of the measured personnel is monitored automatically.
Description
Technical field
The present invention relates to power domain, particularly relate to a kind of logging for UHV transmission line.
Background technology
The intensity of UHV transmission line staff is very large, especially in a lot of Supreme Courts area, owing to causing the shortage of oxygen supply, directly affect the eubolism of cell, the serious life that also can threaten people, so the Real-Time Monitoring of blood oxygen saturation is extremely important in clinical rescue.Be advanced row human blood collection to measurement method of blood oxygen saturation in prior art, recycling blood gas analyzer carries out electrochemical analysis, measures blood oxygen pressure and calculates blood oxygen saturation.This Measures compare trouble, and can not continuous print monitoring be carried out.
Also there are some finger cot type photoelectric sensors in prior art, during measurement, only need by sensor sleeve on finger, utilize finger as the transparent vessel of splendid attire haemoglobin, the ruddiness of use wavelength 660nm and the near infrared light of 940nm are as injecting light source, measure the light conductive strength by tissue bed, calculate hemoglobin concentration and blood oxygen saturation.
But all there is following defect in blood oxygen saturation detection scheme of the prior art: can only detect blood oxygen saturation, and the object of detection is more single; Testing mechanism falls behind, and structural redundancy is too high, and precision can not meet the accuracy requirement increasingly increased; Significantly, the detection mechanism of blood oxygen saturation is uniquely changed, can only by one because usually determining blood oxygen saturation, the inadequate science of testing process.
Therefore, the present invention proposes a kind of logging for UHV transmission line, the structure of backward blood oxygen saturation detecting instrument can be improved, Electrocardiography is dissolved in blood oxygen saturation detection, widens the scope of the physiological parameter of detection, improve the accuracy of detection of blood oxygen saturation, in addition, photoelectric sense technology and image recognition technology can also be combined the concentration determining blood oxygen saturation, thus, improve the accuracy of detection of blood oxygen saturation instrument on the whole.
Summary of the invention
In order to solve the technical matters that prior art exists, the invention provides a kind of logging for UHV transmission line, optimize the structure of current blood oxygen saturation detecting instrument, electrocardiogram parameters is detected and incorporates in blood oxygen saturation detection, improve the accuracy of detection of blood oxygen saturation, simultaneously, the colour of skin of image recognition technology to tested personnel is targetedly adopted to identify, one of factor detect the colour of skin as blood oxygen saturation, avoids the testing result of blood oxygen saturation to affect by single factors.
According to an aspect of the present invention, provide a kind of logging for UHV transmission line, described logging comprises blee checkout equipment, cardiogram watch-dog, blood oxygen saturation watch-dog and Ling Yang SPCE061A chip, described blee checkout equipment determines the colour of skin grade of tested personnel based on the face recognition of tested personnel, described cardiogram is monitored tested personnel's electrocardiogram parameters, the blood oxygen saturation grade of tested personnel determined by described blood oxygen saturation watch-dog, described Ling Yang SPCE061A chip determines the blood oxygen supply state of tested personnel based on described colour of skin grade and described blood oxygen saturation grade.
More specifically, described in the logging of UHV transmission line, comprise: portable hard drive, prestore default colour of skin weight, preset blood oxygen saturation weight, preset balance lower threshold, preset balance upper limit threshold, black and white threshold value and threshold number of pixels, described black and white threshold value is used for performing binary conversion treatment to image, described portable hard drive has also prestored four kinds of colour of skin mean value interval and four kinds of blood oxygen saturation intervals, described four kinds of colour of skin mean value interval are corresponding four kinds of colour of skin grades respectively, described four kinds of blood oxygen saturations interval corresponding four kinds of blood oxygen saturation grades respectively, high-definition image collecting device, for taking tested personnel's face, to obtain tested personnel's face-image, blee checkout equipment comprises Image semantic classification subset, binary conversion treatment subset, column border detection subset, row rim detection subset, Target Segmentation subset, skin cluster subset and colour of skin grade recognin equipment, described Image semantic classification subset is connected with described high-definition image collecting device, strengthen and wavelet filtering process to perform adaptive edge successively to described tested personnel's face-image, to obtain pre-service face-image, described binary conversion treatment subset is connected respectively with described Image semantic classification subset and described portable hard drive, the brightness of each pixel of described pre-service face-image is compared respectively with described black and white threshold value, when the brightness of pixel is greater than described black and white threshold value, pixel is designated as white pixel, when the brightness of pixel is less than described black and white threshold value, pixel is designated as black picture element, thus obtains binaryzation face-image, described column border detects subset and is connected respectively with described binary conversion treatment subset and described portable hard drive, for to described binaryzation face-image, calculate the number of often row black picture element, the row that the number of black picture element is more than or equal to described threshold number of pixels are designated as edge columns, described row rim detection subset is connected respectively with described binary conversion treatment subset and described portable hard drive, for to described binaryzation face-image, calculate the number of often row black picture element, the row that the number of black picture element is more than or equal to described threshold number of pixels is designated as edge lines, described Target Segmentation subset and described column border detect subset and described row rim detection subset is connected respectively, region edge columns and edge lines interweaved is as target domain of the existence, and from described binaryzation face-image, be partitioned into described target domain of the existence to export as facial subimage, the background of facial subimage from tested personnel's face-image to be separated, described skin cluster subset is connected with described Target Segmentation subset, for facial subimage, the brightness of its all pixel to be added up and divided by the quantity of its all pixel to obtain target colour of skin average, described colour of skin grade recognin equipment is connected respectively with described skin cluster subset and described portable hard drive, described target colour of skin average mated with four kinds of colour of skin mean value interval, the colour of skin grade corresponding to colour of skin mean value interval of output matching exports as target colour of skin grade, 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, first 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 first analog to digital converter, extracts sinus rate and the QT interval of tested personnel based on described digitized voltage difference, light emitting diode, is arranged on tested personnel's finger fingertip capillary position, is connected with light source driving circuit, for the LED control signal sent based on light source driving circuit, and alternate emission infrared light and ruddiness, light source driving circuit, built-in timer, for sending LED control signal to described light emitting diode, photoelectric commutator, be arranged on tested personnel's finger fingertip, be positioned at the relative position of described light emitting diode, for receiving the infrared light after transmission tested personnel finger fingertip capillary and ruddiness, and transmitted infrared light and transmit red light are converted to analog current signal respectively, to obtain simulation infrared light electric current and simulation ruddiness electric current, current-to-voltage converting circuit, is connected with described photoelectric commutator, for carrying out current/voltage conversion respectively to simulation infrared light electric current and simulation ruddiness electric current, to obtain simulation infrared light voltage and simulation red voltages respectively, signal amplifier, is connected with described current-to-voltage converting circuit, for amplifying respectively with simulation red voltages simulation infrared light voltage, amplifies voltage to obtain simulation infrared light amplification voltage and to simulate ruddiness, signal deteching circuit, be connected with described signal amplifier, comprise direct current signal and detect electronic circuit and alternating current signal detection electronic circuit, for detecting flip-flop in simulation infrared light voltage and alternating component, to export as the first DC voltage and the first alternating voltage, also for detecting flip-flop in simulation red voltages and alternating component, to export as the second DC voltage and the second alternating voltage, second analog to digital converter, be connected with described signal deteching circuit, for carrying out analog to digital conversion respectively to the first DC voltage, the first alternating voltage, the second DC voltage and the second alternating voltage, to obtain the first Digital DC voltage, the first Digital AC voltage, the second Digital DC voltage and the second Digital AC voltage, Ling Yang SPCE061A chip, extract circuit, described second analog to digital converter, described blee checkout equipment and described portable hard drive with described electrocardiogram parameters to be connected respectively, receive sinus rate and the QT interval of tested personnel, also the ratio of the second Digital AC voltage and the second Digital DC voltage is absorbed the light ratio value factor divided by the ratio of the first Digital AC voltage and the first Digital DC voltage to obtain, and calculate blood oxygen saturation based on the absorption light ratio value factor, wherein, blood oxygen saturation is linear with the absorption light ratio value factor, described Ling Yang SPCE061A chip, when described sinus rate is outside default sinus rate scope, sends sinus rate anomalous identification signal, when described QT interval is outside default QT interval scope, sends QT interval anomalous identification signal, wherein, described Ling Yang SPCE061A chip mates calculating the blood oxygen saturation obtained with described four kinds of blood oxygen saturation intervals, using the blood oxygen saturation grade corresponding to the blood oxygen saturation interval that the match is successful as target blood oxygen saturation grade, wherein, described Ling Yang SPCE061A chip is by target colour of skin grade and default colour of skin multiplied by weight, by target blood oxygen saturation grade and default blood oxygen saturation multiplied by weight, by two product addition to obtain total trade-off value, when total trade-off value is less than or equal to default balance lower threshold, send hypoxemia identification signal, when total trade-off value is more than or equal to default balance upper limit threshold, send blood oxygen excess identification signal, wherein, described electrocardio voltage difference comprises multiple voltage difference.
More specifically, described in the logging of UHV transmission line, described logging also comprises: bluetooth communication interface, be connected with described Ling Yang SPCE061A chip, for sinus rate anomalous identification signal, QT interval anomalous identification signal, hypoxemia identification signal or blood oxygen excess identification signal being sent to the medical monitoring Cloud Server of far-end.
More specifically, described in the logging of UHV transmission line: go back signalization filtering circuit between described signal amplifier and described signal deteching circuit, amplify voltage for difference filtering simulation infrared light and simulate the noise contribution in ruddiness amplification voltage.
More specifically, described in the logging of UHV transmission line: Image semantic classification subset, binary conversion treatment subset, column border detect subset, row rim detection subset, Target Segmentation subset, skin cluster subset and colour of skin grade recognin equipment adopt different fpga chips respectively to realize.
More specifically, described in the logging of UHV transmission line: Image semantic classification subset, binary conversion treatment subset, column border detect subset, row rim detection subset, Target Segmentation subset, skin cluster subset and colour of skin grade recognin equipment be integrated in one piece of surface-mounted integrated circuit.
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 the logging for UHV transmission line of the present invention.
Reference numeral: 1 blee checkout equipment; 2 cardiogram watch-dogs; 3 blood oxygen saturation watch-dogs; 4 Ling Yang SPCE061A chips
Embodiment
Below with reference to accompanying drawings the embodiment of the logging for UHV transmission line of the present invention is described in detail.
Because anoxic is to the harmfulness of people's health, blood oxygen saturation detecting instrument is one of problem of Medical Instruments developer emphasis research and development always.But current blood oxygen saturation detecting instrument detected object is single, circuit structure redundance is high and it is comprehensive not to detect mechanism, causes the poor effect that blood oxygen saturation detects, cannot meet the current demand of patient and hospital.
For this reason, the present invention has built a kind of logging for UHV transmission line, optimize the structure of current blood oxygen saturation detecting instrument, electrocardiogram parameters is detected and incorporates in blood oxygen saturation detection, more crucially, the colour of skin of high-precision image recognition technology to tested personnel is adopted to identify, one of factor detect the colour of skin as blood oxygen saturation, consider the testing result of blood oxygen saturation, thus improve the intelligent level of testing result.
Fig. 1 is the block diagram of the first embodiment of the logging for UHV transmission line of the present invention, described logging comprises blee checkout equipment, cardiogram watch-dog, blood oxygen saturation watch-dog and Ling Yang SPCE061A chip, described blee checkout equipment determines the colour of skin grade of tested personnel based on the face recognition of tested personnel, described cardiogram is monitored tested personnel's electrocardiogram parameters, the blood oxygen saturation grade of tested personnel determined by described blood oxygen saturation watch-dog, described Ling Yang SPCE061A chip determines the blood oxygen supply state of tested personnel based on described colour of skin grade and described blood oxygen saturation grade.
Then, continue to be further detailed the concrete structure of the second embodiment of the logging for UHV transmission line of the present invention.
Described logging comprises: portable hard drive, prestore default colour of skin weight, preset blood oxygen saturation weight, preset balance lower threshold, preset balance upper limit threshold, black and white threshold value and threshold number of pixels, described black and white threshold value is used for performing binary conversion treatment to image, described portable hard drive has also prestored four kinds of colour of skin mean value interval and four kinds of blood oxygen saturation intervals, described four kinds of colour of skin mean value interval are corresponding four kinds of colour of skin grades respectively, described four kinds of blood oxygen saturations interval corresponding four kinds of blood oxygen saturation grades respectively.
Described logging comprises: high-definition image collecting device, for taking tested personnel's face, to obtain tested personnel's face-image.
Described logging comprises: blee checkout equipment, comprise Image semantic classification subset, binary conversion treatment subset, column border detection subset, row rim detection subset, Target Segmentation subset, skin cluster subset and colour of skin grade recognin equipment, described Image semantic classification subset is connected with described high-definition image collecting device, strengthen and wavelet filtering process to perform adaptive edge successively to described tested personnel's face-image, to obtain pre-service face-image; Described binary conversion treatment subset is connected respectively with described Image semantic classification subset and described portable hard drive, the brightness of each pixel of described pre-service face-image is compared respectively with described black and white threshold value, when the brightness of pixel is greater than described black and white threshold value, pixel is designated as white pixel, when the brightness of pixel is less than described black and white threshold value, pixel is designated as black picture element, thus obtains binaryzation face-image; Described column border detects subset and is connected respectively with described binary conversion treatment subset and described portable hard drive, for to described binaryzation face-image, calculate the number of often row black picture element, the row that the number of black picture element is more than or equal to described threshold number of pixels are designated as edge columns; Described row rim detection subset is connected respectively with described binary conversion treatment subset and described portable hard drive, for to described binaryzation face-image, calculate the number of often row black picture element, the row that the number of black picture element is more than or equal to described threshold number of pixels is designated as edge lines; Described Target Segmentation subset and described column border detect subset and described row rim detection subset is connected respectively, region edge columns and edge lines interweaved is as target domain of the existence, and from described binaryzation face-image, be partitioned into described target domain of the existence to export as facial subimage, the background of facial subimage from tested personnel's face-image to be separated; Described skin cluster subset is connected with described Target Segmentation subset, for facial subimage, the brightness of its all pixel to be added up and divided by the quantity of its all pixel to obtain target colour of skin average; Described colour of skin grade recognin equipment is connected respectively with described skin cluster subset and described portable hard drive, described target colour of skin average mated with four kinds of colour of skin mean value interval, the colour of skin grade corresponding to colour of skin mean value interval of output matching exports as target colour of skin grade.
Described logging comprises: 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.
Described logging comprises: 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.
Described logging comprises: 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; First 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 first analog to digital converter, extracts sinus rate and the QT interval of tested personnel based on described digitized voltage difference.
Described logging comprises: light emitting diode, is arranged on tested personnel's finger fingertip capillary position, is connected with light source driving circuit, for the LED control signal sent based on light source driving circuit, and alternate emission infrared light and ruddiness; Light source driving circuit, built-in timer, for sending LED control signal to described light emitting diode; Photoelectric commutator, be arranged on tested personnel's finger fingertip, be positioned at the relative position of described light emitting diode, for receiving the infrared light after transmission tested personnel finger fingertip capillary and ruddiness, and transmitted infrared light and transmit red light are converted to analog current signal respectively, to obtain simulation infrared light electric current and simulation ruddiness electric current.
Described logging comprises: current-to-voltage converting circuit, is connected with described photoelectric commutator, for carrying out current/voltage conversion respectively to simulation infrared light electric current and simulation ruddiness electric current, to obtain simulation infrared light voltage and simulation red voltages respectively; Signal amplifier, is connected with described current-to-voltage converting circuit, for amplifying respectively with simulation red voltages simulation infrared light voltage, amplifies voltage to obtain simulation infrared light amplification voltage and to simulate ruddiness.
Described logging comprises: signal deteching circuit, be connected with described signal amplifier, comprise direct current signal and detect electronic circuit and alternating current signal detection electronic circuit, for detecting flip-flop in simulation infrared light voltage and alternating component, to export as the first DC voltage and the first alternating voltage, also for detecting flip-flop in simulation red voltages and alternating component, to export as the second DC voltage and the second alternating voltage; Second analog to digital converter, be connected with described signal deteching circuit, for carrying out analog to digital conversion respectively to the first DC voltage, the first alternating voltage, the second DC voltage and the second alternating voltage, to obtain the first Digital DC voltage, the first Digital AC voltage, the second Digital DC voltage and the second Digital AC voltage.
Described logging comprises: Ling Yang SPCE061A chip, extract circuit, described second analog to digital converter, described blee checkout equipment and described portable hard drive with described electrocardiogram parameters to be connected respectively, receive sinus rate and the QT interval of tested personnel, also the ratio of the second Digital AC voltage and the second Digital DC voltage is absorbed the light ratio value factor divided by the ratio of the first Digital AC voltage and the first Digital DC voltage to obtain, and calculate blood oxygen saturation based on the absorption light ratio value factor.
Wherein, blood oxygen saturation is linear with the absorption light ratio value factor; Described Ling Yang SPCE061A chip, when described sinus rate is outside default sinus rate scope, sends sinus rate anomalous identification signal, when described QT interval is outside default QT interval scope, sends QT interval anomalous identification signal; Wherein, described Ling Yang SPCE061A chip mates calculating the blood oxygen saturation obtained with described four kinds of blood oxygen saturation intervals, using the blood oxygen saturation grade corresponding to the blood oxygen saturation interval that the match is successful as target blood oxygen saturation grade.
Wherein, described Ling Yang SPCE061A chip is by target colour of skin grade and default colour of skin multiplied by weight, by target blood oxygen saturation grade and default blood oxygen saturation multiplied by weight, by two product addition to obtain total trade-off value, when total trade-off value is less than or equal to default balance lower threshold, send hypoxemia identification signal, when total trade-off value is more than or equal to default balance upper limit threshold, send blood oxygen excess identification signal; Wherein, described electrocardio voltage difference comprises multiple voltage difference.
Alternatively, in described logging, also comprise: bluetooth communication interface, be connected with described Ling Yang SPCE061A chip, for sinus rate anomalous identification signal, QT interval anomalous identification signal, hypoxemia identification signal or blood oxygen excess identification signal being sent to the medical monitoring Cloud Server of far-end; Between described signal amplifier and described signal deteching circuit, go back signalization filtering circuit, amplify voltage for difference filtering simulation infrared light and simulate the noise contribution in ruddiness amplification voltage; Image semantic classification subset, binary conversion treatment subset, column border detect subset, row rim detection subset, Target Segmentation subset, skin cluster subset and colour of skin grade recognin equipment and adopt different fpga chips respectively to realize; Image semantic classification subset, binary conversion treatment subset, column border detect subset, row rim detection subset, Target Segmentation subset, skin cluster subset and colour of skin grade recognin equipment and are integrated on one piece of surface-mounted integrated circuit.
In addition, FPGA (Field-ProgrammableGateArray), i.e. field programmable gate array, he is the product further developed on the basis of the programming devices such as PAL, GAL, CPLD.He occurs as a kind of semi-custom circuit in special IC (ASIC) field, has both solved the deficiency of custom circuit, overcomes again the shortcoming that original programming device gate circuit number is limited.
With the circuit design that hardware description language (Verilog or VHDL) completes, can through simple comprehensive and layout, being burned onto fast on FPGA and testing, is the technology main flow of modern IC designs checking.These can be edited element and can be used to realize some basic logic gates (such as AND, OR, XOR, NOT) or more more complex combination function such as demoder or mathematical equation.Inside most FPGA, in these editable elements, also comprise memory cell such as trigger (Flip-flop) or other more complete block of memory.System designer can be coupled together the logical block of FPGA inside by editable connection as required, just looks like that a breadboard has been placed in a chip.One dispatch from the factory after the logical block of finished product FPGA can change according to deviser with being connected, so FPGA can complete required logic function.
FPGA is in general slow than the speed of ASIC (special IC), realizes same function ratio ASIC circuit area and wants large.But they also have a lot of advantages such as can finished product fast, can be modified the mistake in correction program and more cheap cost.Manufacturer also may provide the FPGA of cheap still edit capability difference.Because these chips have poor can edit capability, so exploitations of these designs complete on common FPGA, then design is transferred to one and is similar on the chip of ASIC.Another method is with CPLD (ComplexProgrammableLogicDevice, CPLD).The exploitation of FPGA has a great difference relative to the exploitation of conventional P C, single-chip microcomputer.FPGA, based on concurrent operation, realizes with hardware description language; Very large difference is had compared to the sequential operation of PC or single-chip microcomputer (no matter being von Neumann structure or Harvard structure).
As far back as 1980 mid-nineties 90s, FPGA takes root in PLD equipment.CPLD and FPGA includes the Programmadle logic unit of some relatively large amount.The density of CPLD logic gate is between several thousand to several ten thousand logical blocks, and FPGA normally arrives millions of several ten thousand.The key distinction of CPLD and FPGA is their system architecture.CPLD is a somewhat restrictive structure.This structure is arranged by the logical groups of one or more editable result sum and forms with the register of the locking of some relatively small amounts.Such result lacks editor's dirigibility, but but have the time delay and logical block that can estimate to the advantage of linkage unit height ratio.And FPGA has a lot of linkage units, although allow him edit more flexibly like this, structure is complicated many.
Adopt the logging for UHV transmission line of the present invention, for in prior art, blood oxygen saturation detecting instrument structure is backward, detected object is few and detect the single technical matters of mechanism, refer to high precision, the targetedly image recognition apparatus colour of skin to tested personnel to identify, and be dissolved in the testing process of blood oxygen saturation, simultaneously, add Electrocardiography equipment and optimize existing detection architecture, thus improving the Detection results of Medical Instruments on the whole.
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 (6)
1. the logging for UHV transmission line, described logging comprises blee checkout equipment, cardiogram watch-dog, blood oxygen saturation watch-dog and Ling Yang SPCE061A chip, described blee checkout equipment determines the colour of skin grade of tested personnel based on the face recognition of tested personnel, described cardiogram is monitored tested personnel's electrocardiogram parameters, the blood oxygen saturation grade of tested personnel determined by described blood oxygen saturation watch-dog, described Ling Yang SPCE061A chip determines the blood oxygen supply state of tested personnel based on described colour of skin grade and described blood oxygen saturation grade.
2., as claimed in claim 1 for the logging of UHV transmission line, it is characterized in that, described logging comprises:
Portable hard drive, prestore default colour of skin weight, preset blood oxygen saturation weight, preset balance lower threshold, preset balance upper limit threshold, black and white threshold value and threshold number of pixels, described black and white threshold value is used for performing binary conversion treatment to image, described portable hard drive has also prestored four kinds of colour of skin mean value interval and four kinds of blood oxygen saturation intervals, described four kinds of colour of skin mean value interval are corresponding four kinds of colour of skin grades respectively, described four kinds of blood oxygen saturations interval corresponding four kinds of blood oxygen saturation grades respectively;
High-definition image collecting device, for taking tested personnel's face, to obtain tested personnel's face-image;
Blee checkout equipment comprises Image semantic classification subset, binary conversion treatment subset, column border detection subset, row rim detection subset, Target Segmentation subset, skin cluster subset and colour of skin grade recognin equipment, described Image semantic classification subset is connected with described high-definition image collecting device, strengthen and wavelet filtering process to perform adaptive edge successively to described tested personnel's face-image, to obtain pre-service face-image; Described binary conversion treatment subset is connected respectively with described Image semantic classification subset and described portable hard drive, the brightness of each pixel of described pre-service face-image is compared respectively with described black and white threshold value, when the brightness of pixel is greater than described black and white threshold value, pixel is designated as white pixel, when the brightness of pixel is less than described black and white threshold value, pixel is designated as black picture element, thus obtains binaryzation face-image; Described column border detects subset and is connected respectively with described binary conversion treatment subset and described portable hard drive, for to described binaryzation face-image, calculate the number of often row black picture element, the row that the number of black picture element is more than or equal to described threshold number of pixels are designated as edge columns; Described row rim detection subset is connected respectively with described binary conversion treatment subset and described portable hard drive, for to described binaryzation face-image, calculate the number of often row black picture element, the row that the number of black picture element is more than or equal to described threshold number of pixels is designated as edge lines; Described Target Segmentation subset and described column border detect subset and described row rim detection subset is connected respectively, region edge columns and edge lines interweaved is as target domain of the existence, and from described binaryzation face-image, be partitioned into described target domain of the existence to export as facial subimage, the background of facial subimage from tested personnel's face-image to be separated; Described skin cluster subset is connected with described Target Segmentation subset, for facial subimage, the brightness of its all pixel to be added up and divided by the quantity of its all pixel to obtain target colour of skin average; Described colour of skin grade recognin equipment is connected respectively with described skin cluster subset and described portable hard drive, described target colour of skin average mated with four kinds of colour of skin mean value interval, the colour of skin grade corresponding to colour of skin mean value interval of output matching exports as target colour of skin grade;
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;
First 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 first analog to digital converter, extracts sinus rate and the QT interval of tested personnel based on described digitized voltage difference;
Light emitting diode, is arranged on tested personnel's finger fingertip capillary position, is connected with light source driving circuit, for the LED control signal sent based on light source driving circuit, and alternate emission infrared light and ruddiness;
Light source driving circuit, built-in timer, for sending LED control signal to described light emitting diode;
Photoelectric commutator, be arranged on tested personnel's finger fingertip, be positioned at the relative position of described light emitting diode, for receiving the infrared light after transmission tested personnel finger fingertip capillary and ruddiness, and transmitted infrared light and transmit red light are converted to analog current signal respectively, to obtain simulation infrared light electric current and simulation ruddiness electric current;
Current-to-voltage converting circuit, is connected with described photoelectric commutator, for carrying out current/voltage conversion respectively to simulation infrared light electric current and simulation ruddiness electric current, to obtain simulation infrared light voltage and simulation red voltages respectively;
Signal amplifier, is connected with described current-to-voltage converting circuit, for amplifying respectively with simulation red voltages simulation infrared light voltage, amplifies voltage to obtain simulation infrared light amplification voltage and to simulate ruddiness;
Signal deteching circuit, be connected with described signal amplifier, comprise direct current signal and detect electronic circuit and alternating current signal detection electronic circuit, for detecting flip-flop in simulation infrared light voltage and alternating component, to export as the first DC voltage and the first alternating voltage, also for detecting flip-flop in simulation red voltages and alternating component, to export as the second DC voltage and the second alternating voltage;
Second analog to digital converter, be connected with described signal deteching circuit, for carrying out analog to digital conversion respectively to the first DC voltage, the first alternating voltage, the second DC voltage and the second alternating voltage, to obtain the first Digital DC voltage, the first Digital AC voltage, the second Digital DC voltage and the second Digital AC voltage;
Ling Yang SPCE061A chip, extract circuit, described second analog to digital converter, described blee checkout equipment and described portable hard drive with described electrocardiogram parameters to be connected respectively, receive sinus rate and the QT interval of tested personnel, also the ratio of the second Digital AC voltage and the second Digital DC voltage is absorbed the light ratio value factor divided by the ratio of the first Digital AC voltage and the first Digital DC voltage to obtain, and calculate blood oxygen saturation based on the absorption light ratio value factor, wherein, blood oxygen saturation is linear with the absorption light ratio value factor; Described Ling Yang SPCE061A chip, when described sinus rate is outside default sinus rate scope, sends sinus rate anomalous identification signal, when described QT interval is outside default QT interval scope, sends QT interval anomalous identification signal;
Wherein, described Ling Yang SPCE061A chip mates calculating the blood oxygen saturation obtained with described four kinds of blood oxygen saturation intervals, using the blood oxygen saturation grade corresponding to the blood oxygen saturation interval that the match is successful as target blood oxygen saturation grade;
Wherein, described Ling Yang SPCE061A chip is by target colour of skin grade and default colour of skin multiplied by weight, by target blood oxygen saturation grade and default blood oxygen saturation multiplied by weight, by two product addition to obtain total trade-off value, when total trade-off value is less than or equal to default balance lower threshold, send hypoxemia identification signal, when total trade-off value is more than or equal to default balance upper limit threshold, send blood oxygen excess identification signal;
Wherein, described electrocardio voltage difference comprises multiple voltage difference.
3., as claimed in claim 2 for the logging of UHV transmission line, it is characterized in that, described logging also comprises:
Bluetooth communication interface, is connected with described Ling Yang SPCE061A chip, for sinus rate anomalous identification signal, QT interval anomalous identification signal, hypoxemia identification signal or blood oxygen excess identification signal being sent to the medical monitoring Cloud Server of far-end.
4., as claimed in claim 2 for the logging of UHV transmission line, it is characterized in that:
Between described signal amplifier and described signal deteching circuit, go back signalization filtering circuit, amplify voltage for difference filtering simulation infrared light and simulate the noise contribution in ruddiness amplification voltage.
5., as claimed in claim 2 for the logging of UHV transmission line, it is characterized in that:
Image semantic classification subset, binary conversion treatment subset, column border detect subset, row rim detection subset, Target Segmentation subset, skin cluster subset and colour of skin grade recognin equipment and adopt different fpga chips respectively to realize.
6., as claimed in claim 5 for the logging of UHV transmission line, it is characterized in that:
Image semantic classification subset, binary conversion treatment subset, column border detect subset, row rim detection subset, Target Segmentation subset, skin cluster subset and colour of skin grade recognin equipment and are integrated on one piece of surface-mounted integrated circuit.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001028815A (en) * | 1999-07-12 | 2001-01-30 | Fujikura Ltd | Electric detector for aerial transmission line |
| CN104042196A (en) * | 2013-03-12 | 2014-09-17 | 李晓龙 | Real-time health monitoring and intelligent pre-warning system and method |
| CN204575136U (en) * | 2015-05-18 | 2015-08-19 | 国家电网公司 | The multi-functional circuit logging of transmission line of electricity |
| CN204654915U (en) * | 2015-05-06 | 2015-09-23 | 亚拓医疗器材股份有限公司 | Portable physiological measurement mechanism |
-
2015
- 2015-11-06 CN CN201510750572.6A patent/CN105205984B/en not_active Expired - Fee Related
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001028815A (en) * | 1999-07-12 | 2001-01-30 | Fujikura Ltd | Electric detector for aerial transmission line |
| CN104042196A (en) * | 2013-03-12 | 2014-09-17 | 李晓龙 | Real-time health monitoring and intelligent pre-warning system and method |
| CN204654915U (en) * | 2015-05-06 | 2015-09-23 | 亚拓医疗器材股份有限公司 | Portable physiological measurement mechanism |
| CN204575136U (en) * | 2015-05-18 | 2015-08-19 | 国家电网公司 | The multi-functional circuit logging of transmission line of electricity |
Non-Patent Citations (1)
| Title |
|---|
| 姜泓羊: "多生理参数传感系统的集成与实现", 《哈尔滨工业大学硕士论文》 * |
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