Computer device for acquiring data

Abstract

The invention relates to a computer device for acquiring data. The computer device includes an electronic compass, a computer control main device, a fan driving device and a plurality of fans; the computer control main device is connected with the electronic compass and the fan driving device and is used for receiving vehicle driving directions outputted by the electronic compass and determining driving control signals sent to the fan driving device based on the vehicle driving directions; and the fan driving device controls the fans based on the driving control signals. With the computer device for acquiring data of the invention adopted, accurate and efficient driving control on a plurality of fans of a vehicle can be achieved simultaneously.

Description

technical field [0001] The invention relates to the field of computer control, in particular to a computer device for acquiring data. Background technique [0002] In the prior art, some vehicle manufacturers have installed electronic detection equipment for sunlight intensity or sunlight range near the driving position, and determined the protection operation mode of the relevant equipment according to the detection results. [0003] However, the above-mentioned electronic sunshade method is also too simple. On the one hand, it does not take into account the impact of the driving direction of the vehicle on sunlight, resulting in low sunshade effect; There is a conflict between the choice and the choice of ordinary passengers, resulting in the same sunshade means for the entire vehicle, which cannot take into account the needs of the driver and other passengers. For example, when the sun is too strong, the air conditioning temperature and air volume of the vehicle may be in...

AI Technical Summary

Problems solved by technology

[0007] More specifically, the computer equipment for acquiring data includes: an electronic compass set in the front dashboard of the vehicle for detecting and outputting the driving direction of the vehicle in real time; the electronic compass includes a two-dimensional magnetic field sensor for The electronic compass also includes an electromagnetic feedback circuit, which is used to eliminate the sensitive offset caused by temperature changes; the computer controls the main device, which is installed in the front dashboard of the vehicle, and is connected with the electronic compass and the sunlight respectively. The data analysis device is connected to receive the driving direction of the vehicle, the positions corresponding to the respective sunlight sub-images and the corresponding area ratios, and determine the driving control based on the vehicle driving direction, the respective positions corresponding to the respective sunlight sub-images and the corresponding area ratios signal; a plurality of fans, which are respectively installed at different installation points near the driving position of the vehicle; a plurality of fan electronic switches, each fan electronic switch corresponds to a fan, and is used to control the switch state of the corresponding fan; the fan drive device is connected with a plurality of fans The electronic switch is also connected with the computer control main equipment, used to receive the driving control signal, and based on the driving control signal to control multiple fan electronic switches; the camera equipment is set in front of the driving position of the vehicle, and is used to monitor the scene of the driving seat. Time-continuous image acquisition to output the image of the driver's seat; the big data application platform is connected to the camera device through the network to receive the image of the driver's seat and process the image of the driver's seat. The big data application platform includes: grayscale processing equipment, It includes a channel parameter extraction unit, a weighted value storage unit and a gray value calculation unit. The channel parameter extraction unit is connected to the camera device through the network, and is used to receive the driver's seat image to extract the R channel pixel value of each pixel in the driver's seat image. , G channel pixel value and B channel pixel value, the weighted value storage unit is used to store the R channel weighted value, the G channel weighted value and the B channel weighted value in advance, the gray value calculation unit is respectively connected with the channel parameter extraction unit and the weighted value storage Unit connection, for each pixel in the driver's seat image, the product of the pixel value of the R channel and the weighted value of the R channel, the product of the pixel value of the G channel and the weighted value of the G channel, and the product of the pixel value of the B channel and the weighted value of the B channel Obtain the grayscale value of the targeted pixel, and obtain the grayscale image corresponding to the driver's seat image based on the grayscale value of each pixel in the driver's seat image; wherein, the weighted value of the R channel is 0.298839, and the weighted value of the G channel is 0.298839. The value is 0.586811, and the weighted value of the B channel is 0.114350; the histogram distribution detection device is connected with the grayscale processing device, used to receive the grayscale image, and perform grayscale histogram processing on the grayscale image to obtain For the corresponding histogram image, when the histogram image presents a bimodal distribution, a global threshold selection signal is sent, otherwise, a non-global threshold selection signal is sent; the threshold selection device is connected with the histogram distribution detection device for receiving the global threshold When the signal is selected, the global threshold 128 is output as threshold data, and when a non-global threshold selection signal is received, the gray level difference of adjacent pixels is Threshold 40 is output as threshold data; binarization processing equipment is connected with threshold selection equipment and histogram distribution detection equipment respectively, and is used for each pixel in the grayscale image when receiving the global threshold selection signal. When the grayscale value is greater than or equal to the threshold data, set the targeted pixel as a white level pixel, and when the grayscale value is less than the threshold data, set the targeted pixel as a black level pixel, and output a grayscale image The corresponding binarized image; the binarized processing device is also used to calculate the pixel point that is 3 pixels away from it in the vertical direction for each pixel point in the grayscale image when receiving the non-global threshold selection signal The gray value of the upper pixel is used as the gray value of the upper pixel, and the gray value of the pixel point that is 3 pixels away from it in the vertical direction is used as the gray value of the lower pixel, and the pixel point that is 3 pixels away from it in the horizontal direction is calculated The gray value of the left pixel is used as the gray value of the left pixel, and the gray value of the pixel point that is 3 pixels away from it in the horizontal direction is used as the gray value of the right pixel. When the difference between the gray value of the upper pixel and the gray value of the lower pixel When the absolute value of is less than or equal to the threshold data and the absolute value of the difference between the gray value of the left pixel and the gray value of the right pixel is less than or equal to the threshold data, set the targeted pixel as a white level pixel, when the gray value of the upper pixel and When the absolute value of the difference between the gray value of the lower pixel is greater than the threshold data or the absolute value of the difference between the gray value of the left pixel and the gray value of the right pixel is greater than the threshold data, set the targeted pixel as a black level pixel and output The binarized image corresponding to the grayscale image; the image smoothing device, connected to the binarized processing device, is used to receive the binarized image, and for each pixel in the binarized image, when all adjacent pixels When there are more than half of the jump points in the point, the gray value of the targeted pixel point is retained; otherwise, the gray value of the targeted pixel point is set as a white level pixel point, and the binary image corresponding to Smooth image; sunlight data analysis equipment, connected with Wiener filtering equipment to obtain filtered image; for each pixel in the filtered image, match its gray value with the preset sunlight gray range, when its gray value is in When it is within the preset sunlight grayscale range, it is determined to be a sunlight pixel point; the area composed of all sunlight pixels in the filtered image is segmented from the filtered image to obtain each sunlight sub-image; and based on each sunlight sub-image, its position in the filtered image and calculate its area ratio occupying the filtered image; output the respective positions and corresponding area ratios of each sunlight sub-image; solar energy detection equipment for real-time detection of current solar intensity; power supply equipment, including solar energy Power supply device, storage battery, switching switch and voltage converter, the switching switch is respectively connected with solar energy detection equipment, solar power supply device and storage battery, when the remaining power of the storage battery is insufficient and the current solar intensity is higher than or equal to the preset intensity threshold, switch to solar energy The power supply device is powered by the solar power supply device, and the voltage converter is connected with the switch to convert the 5V input through the switch to a 3.3V voltage, wherein the solar power supply device includes a solar photovoltaic panel; wireless The charging equipment is connected with the solar detection equipment and the storage battery respectively. When the remaining power of the storage battery is insufficient and the current solar energy intensity is lower than the preset intensity, a connection is established with a nearby wireless charging terminal to start the wireless charging operation. The wireless charging equipment is also connected with the voltage The converter is connected to realize the voltage conversion; the Wiener filter device is connected with the image balance processing device through the network, and is used to receive the smoothed image, and performs Wiener filter processing on the smooth image to obtain a filtered image, wherein the Wiener filter processing is used to make the smooth The mean square error of the image and the filtered image is minimized to remove white noise and speckle noise in the smooth image

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