[0008] More specifically, the inspection instrument for UHV transmission lines includes: a mobile hard disk, which pre-stores preset
skin color weights, preset blood oxygen saturation weights, preset trade-off
lower limit thresholds, and preset trade-off upper limit values. Threshold, black-and-white threshold and pixel number threshold, the black-and-white threshold is used to perform binarization
processing on the image, and the mobile hard disk also pre-stores four
skin color mean intervals and four blood oxygen saturation intervals, the four
skin color The average intervals correspond to four
skin color levels, and the four blood oxygen saturation intervals correspond to four blood oxygen saturation levels; the high-definition
image acquisition equipment is used to
shoot the face of the tested person to obtain the facial image of the tested person
Facial skin color detection equipment includes image preprocessing sub-equipment, binarization
processing sub-equipment, column
edge detection sub-equipment, row
edge detection sub-equipment, target segmentation sub-equipment, skin color extraction sub-equipment and skin color level recognition sub-equipment, the image The preprocessing sub-device is connected with the high-definition
image acquisition device to sequentially perform adaptive
edge enhancement and
wavelet filtering
processing on the facial image of the person under test to obtain a pre-processing facial image; the binarization processing sub-device is connected with the Described image preprocessing sub-equipment is respectively connected with described mobile hard disk, the brightness of each pixel of described preprocessing facial image is compared with described black-and-white threshold value respectively, when the brightness of pixel is greater than described black-and-white threshold value, the pixel is recorded as A white pixel, when the brightness of the pixel is less than the black and white threshold, the pixel is recorded as a black pixel, thereby obtaining a binarized facial image; the column
edge detection sub-equipment and the binarization processing sub-equipment and the mobile hard disk Connect respectively, be used for described binarized facial image, calculate the number of every column black pixel, the column that the number of black pixel is greater than or equal to described pixel number threshold is recorded as edge column; Described line edge detection sub-equipment and all The binarization processing sub-equipment is respectively connected to the mobile hard disk, and is used to calculate the number of black pixels in each row for the binarization facial image, and
record the row with the number of black pixels greater than or equal to the pixel number threshold as Edge row; the target segmentation sub-equipment is respectively connected with the column edge detection sub-equipment and the row edge detection sub-equipment, the interweaving area of the edge column and the edge row is used as the target existence area, and from the binarized face Segment the target presence area in the image to output as a face sub-image, so as to separate the face sub-image from the background of the face image of the person under test; the skin color extraction sub-device is connected with the target segmentation sub-device, Image, the brightness of all its pixels is accumulated and divided by the quantity of all its pixels to obtain the average value of target skin color; the skin color level recognition sub-device is connected with the skin color extraction sub-device and the mobile hard disk respectively, and the target skin color The mean value is matched with four kinds of skin color mean value intervals, and the skin color level corresponding to the matched skin color mean value range is output as the target skin color level output; the
signal acquisition device includes a plurality of medical electrodes and a plurality of motion trajectory sensors, and the plurality of medical electrodes are respectively set Multiple fixed positions on the
body surface of the person under test are used to extract multiple voltages generated by the ECG field of the person under test at multiple fixed positions on the
body surface, and each motion track sensor is placed next to a medical
electrode for Extracting the drift ECG
voltage signal generated by the person under test at the corresponding position due to
breathing and
human body movement; the motion track
elimination device is connected with the plurality of medical electrodes and the plurality of motion track sensors, and generates each medical
electrode Each
voltage of each
voltage is summed with the drift ECG voltage
signal generated by the corresponding motion trajectory sensor to obtain the corresponding target voltage; the lead circuit is connected with the motion trajectory
elimination device for receiving
multiple target voltages, based on the
Multiple target voltages are used to calculate and output the ECG voltage difference; the
signal amplifier circuit is connected to the lead circuit for receiving the ECG voltage difference and amplifying the ECG voltage difference; the band-pass filter circuit is connected to the The
signal amplification circuit is connected to the
noise component in the amplified ECG voltage difference to obtain the filter voltage difference; the first analog-to-
digital conversion circuit is connected to the band-pass filter circuit and used to filter the voltage difference Analog-to-
digital conversion to obtain a digitized voltage difference; the electrocardiogram parameter extraction circuit is connected with the first analog-to-
digital converter, and extracts the sinus
heart rate and
QT interval of the measured person based on the digitized voltage difference; the light-emitting
diode is arranged on The fingertip capillaries of the person under test are connected to the
light source driving circuit for alternately emitting
infrared light and
red light based on the light emitting
control signal sent by the
light source driving circuit; the
light source driving circuit has a built-in
timer for emitting light to the The
diode sends a light-emitting
control signal; the photoelectric converter is arranged on the fingertip of the measured person, and is located at the relative position of the light-emitting
diode, and is used to receive the
infrared light and
red light transmitted through the capillaries of the fingertip of the measured person, and The transmitted
infrared light and the transmitted
red light are respectively converted into analog current signals to obtain the simulated infrared
photocurrent and the simulated red
photocurrent; the current-voltage conversion circuit is connected with the photoelectric converter for the analog infrared
photocurrent and the simulated red photocurrent. The photocurrent is converted to current and voltage respectively to obtain analog infrared photovoltage and analog red photovoltage; the
signal amplifier is connected to the current-voltage conversion circuit and is used to respectively amplify the analog infrared photovoltage and the analog red photovoltage to obtain Obtain the analog infrared light amplification voltage and the analog red light amplification voltage; the signal detection circuit, connected with the
signal amplifier, includes a DC signal detection sub-circuit and an AC signal detection sub-circuit, for detecting the DC component and the AC in the analog infrared light voltage component, to output as the first
DC voltage and the first AC voltage, and also used to detect the DC component and the AC component in the analog red light voltage, to output as the second
DC voltage and the second AC voltage; the second analog-to-
digital converter , connected to the signal detection circuit, used to respectively perform analog-to-
digital conversion on the first
DC voltage, the first AC voltage, the second DC voltage and the second AC voltage to obtain the first digitized DC voltage, the first digitized AC voltage , the second digitized DC voltage and the second digitized AC voltage; Sunplus SPCE061A
chip is connected with the electrocardiogram parameter extraction circuit, the second analog-to-
digital converter, the
facial skin color detection device and the mobile hard disk respectively, and receives For the sinus
heart rate and
QT interval of the person to be measured, the ratio of the second digitized AC voltage to the second digitized DC voltage is divided by the ratio of the first digitized AC voltage to the first digitized DC voltage to obtain the light
absorption ratio factor, and Blood oxygen saturation is calculated based on the ratio factor of absorbed light, wherein the relationship between blood oxygen saturation and the ratio factor of absorbed light is linear; when the sinus
heart rate is outside the preset sinus heart rate range, the Sunplus SPCE061A chip sends Abnormal
sinus rhythm identification signal, when the
QT interval is outside the preset QT interval range, it sends out an abnormal QT interval identification signal; wherein, the Sunplus SPCE061A chip combines the calculated blood oxygen saturation with the The above four blood oxygen saturation intervals are matched, and the blood oxygen
saturation level corresponding to the successfully matched blood oxygen saturation interval is used as the target blood oxygen
saturation level; wherein, the Sunplus SPCE061A chip compares the target skin color level with the preset Multiply the skin color weight, multiply the target blood oxygen
saturation level by the preset blood oxygen saturation weight, and add the two products to obtain the total tradeoff value. When the total tradeoff value is less than or equal to the preset tradeoff
lower limit threshold, a blood Insufficient oxygen identification signal, when the total trade-off value is greater than or equal to the preset trade-off upper limit threshold, an excessive blood oxygen identification signal is sent; wherein, the electrocardiographic voltage difference includes a plurality of voltage differences