阅读说明：本技术 居民楼数据报警方法 (Resident building data alarm method ) 是由 杨润琴 于 2019-01-11 设计创作，主要内容包括：本发明涉及一种居民楼数据报警方法,该方法包括运行一种居民楼数据报警机构来对居民楼数据进行报警,所述居民楼数据报警机构包括：频分双工通信接口,用于在居民楼实际高度与预设居民楼高度之差的绝对值超限时,向远端的居民楼管理中心发送高度报警指令。(The invention relates to a resident building data alarm method, which comprises the following steps of operating a resident building data alarm mechanism to alarm resident building data, wherein the resident building data alarm mechanism comprises: and the frequency division duplex communication interface is used for sending a height alarm instruction to a remote residential building management center when the absolute value of the difference between the actual height of the residential building and the preset height of the residential building exceeds the limit.)

1. A residential building data alarm method, the method comprising operating a residential building data alarm mechanism to alarm on residential building data, the residential building data alarm mechanism comprising:

and the frequency division duplex communication interface is used for sending a height alarm instruction to a remote residential building management center when the absolute value of the difference between the actual height of the residential building and the preset height of the residential building exceeds the limit.

2. The method of claim 1, wherein the mechanism further comprises:

the geometric correction device is used for receiving a current environment image acquired by the CCD sensing device for the environment where the residential building is located, determining background complexity in the current environment image, determining the number of image fragments for averagely segmenting the current environment image based on the background complexity, wherein the higher the background complexity is, the more the number of the image fragments for averagely segmenting the current environment image is, respectively executing geometric correction processing operation based on image fragment distortion degree on each image fragment to obtain each geometric correction fragment, and combining each geometric correction fragment to obtain a corrected combined image, wherein the larger the image fragment distortion degree is, the higher the geometric correction processing operation intensity of the image fragment is.

3. The method of claim 2, wherein the mechanism further comprises:

and the pulse detection device is connected with the geometric correction device and used for receiving the corrected combined image, detecting a plurality of positions of a plurality of pulse noises in the corrected combined image from the corrected combined image and determining the uniformity degree of the distribution of the pulse noises in the corrected combined image based on the positions of the plurality of pulse noises in the corrected combined image.

4. The method of claim 3, wherein the mechanism further comprises:

the removal quantity analysis device is connected with the pulse detection device and used for receiving the uniformity degree and determining the corresponding removal quantity based on the uniformity degree, wherein the larger the uniformity degree is, the more uniform the pulse noise distribution in the correction combined image is, and the smaller the determined corresponding removal quantity is;

the target extraction device is connected with the pulse detection device and used for receiving the corrected combined image, extracting a plurality of target sub-images in which a plurality of targets are respectively positioned from the corrected combined image, determining the number of pulse noises in each target sub-image based on a plurality of positions of a plurality of pulse noises in the corrected combined image, and outputting the target sub-image with the largest number of pulse noises as a sub-image to be analyzed;

the shape analysis equipment is connected with the target extraction equipment and used for receiving the subimage to be analyzed and determining a search window which is most matched with the subimage to be analyzed based on the shape of the subimage to be analyzed, wherein the shape of the search window comprises a square shape, a cross shape, a circular shape or an X shape;

the signal processing device is respectively connected with the removal quantity analysis device, the pulse detection device and the shape analysis device, and is used for receiving the search window and executing the following actions on each pixel point in the corrected combined image: taking each pixel point in the corrected combined image as a pixel point to be processed, acquiring each pixel point in a search window taking the pixel point to be processed as a centroid position in the corrected combined image as each adjacent pixel point, sequencing pixel values of the adjacent pixel points, deleting a plurality of maximum pixel values with the same number as the removal number, deleting a plurality of minimum pixel values with the same number as the removal number, and performing average calculation on the remaining pixel values to obtain a processed pixel value of the pixel point to be processed;

the geometric correction device is connected with the signal processing device and used for receiving the processed image and executing geometric correction processing on the processed image so as to obtain and output a corresponding geometric correction image;

the amplitude measuring device is connected with the geometric correction device and used for receiving the geometric correction image, analyzing the amplitude of noise in the geometric correction image to obtain the maximum amplitude in the geometric correction image, and determining the sizes of image segmentation blocks which are in direct proportion to the maximum amplitude based on the maximum amplitude to obtain all segmentation blocks with the same size;

the region selection device is connected with the amplitude measurement device and used for receiving the segmentation blocks with the same size and selecting four segmentation blocks positioned at four corner positions in the geometric correction image from the segmentation blocks in the geometric correction image as four corner segmentation blocks;

the regional identification equipment is respectively connected with the amplitude measuring equipment and the regional selection equipment and is used for receiving the four segmentation blocks, obtaining the contrast of each corner segmentation block, and carrying out averaging calculation on the four contrasts of the four corner image regions so as to output the obtained average as a target contrast;

the command starting device is connected with the regional identification device and used for receiving the target contrast, sending a command with lower contrast when the target contrast is smaller than a preset contrast value and sending a command with higher contrast when the target contrast is larger than or equal to the preset contrast value;

the tone editing device is respectively connected with the sub-area identification device and the command starting device, and is used for executing nonlinear tone editing processing on the geometric correction image to obtain a tone editing image when the contrast ratio lower command is received, and also used for skipping the execution of the nonlinear tone editing processing on the geometric correction image when the contrast ratio higher command is received, and outputting the geometric correction image as the tone editing image;

and the height analysis device is respectively connected with the frequency division duplex communication interface and the tone editing device and is used for receiving the tone editing image, extracting a residential building target from the tone editing image based on the imaging characteristics of the residential building, identifying the longitudinal height of the residential building target in the tone editing image, and calculating the actual height of the residential building based on the longitudinal height and the distance from the CCD sensing device to the residential building.

5. The method of claim 4, wherein:

the geometric correction device, the amplitude measurement device, the region selection device, the region division identification device, the command starting device and the tone editing device are respectively realized by ASIC chips with different models.

6. The method of claim 5, wherein:

the signal processing device is further configured to obtain a processed image corresponding to the corrected combined image based on each processed pixel value of each pixel point in the corrected combined image.

7. The method of claim 6, wherein:

in the shape analysis device, determining a search window that best matches the sub-image to be analyzed based on the shape of the sub-image to be analyzed comprises: the number of pixels occupied by the search window is more than three times the number of the pixels removed.

8. The method of claim 7, wherein:

the target extraction apparatus includes an image analysis unit, a position analysis unit, and a sub-image output unit.

9. The method of claim 8, wherein:

in the object extracting apparatus, the position analyzing unit is connected to the image analyzing unit and the sub-image output unit, respectively.