CN112911243B - Method for analyzing vacancy rate of house by aid of high-altitude parabolic monitoring - Google Patents
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- H—ELECTRICITY
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Abstract
A method for analyzing the vacancy rate of a house by adopting high-altitude parabolic monitoring assistance relates to the technical field of information. S1: installing a high-altitude parabolic camera on the front side of the high-rise building, starting all the day and shooting; s2: extracting a plurality of front images of the high-rise building in the day and at night according to the set frequency, carrying out image processing on one image to obtain a first average pixel brightness value of each grid, carrying out same image processing on the plurality of front images to obtain all the first average pixel brightness values of each grid, and carrying out averaging processing to obtain a second average pixel brightness value. Comparing and judging the second average pixel brightness value of each house with a brightness threshold value in sequence, and judging whether the room is lighted up or lighted down at night; s3: according to the method for counting the lighting condition of each house evening on the day in the step S2, the lighting days of each house evening in the continuous fixed days are counted, the lighting days and the idle threshold are judged, and whether the house is empty or not is judged.
Description
Technical Field
The invention relates to the technical field of information, in particular to a method for analyzing the vacancy rate of a house by adopting high-altitude parabolic monitoring assistance.
Background
The house vacancy rate is an important reference data for measuring the cell characteristics. First, communities and property industries need to manage population, houses and the like in a community, and whether the houses live or not directly influence daily work such as social administration, safety control, environmental sanitation, epidemic situation control and the like. For the local producer, the vacancy rate is also an important measure for the cell operation condition. The vacancy rate is too low to be greater than the supply, the developer pushes the price to be higher, the consumption preference of residents is restrained, and the consumption demand is insufficient. On the contrary, the fact that the vacancy rate is too high and the vacancy duration is too long means that the supply is larger than the demand, the house utilization rate is low, and developers are prompted to change the operation strategy, reduce the price and promote the sale or reduce the supply of houses so as to find a new balance point in the market. Therefore, the vacancy rate of the house is important data concerned by governments, property, local producers and residents.
However, the vacancy rate of the house is data which changes continuously, and accurate statistics of the vacancy rate of the house is difficult to achieve. The residential situation of each house can be confirmed by a community grid worker and a police grid worker in a door check mode, but the problems of large workload, disturbance of residents and incapability of automatic data updating exist. The analysis of the vacancy rate by technical means is an alternative method. The patent "a housing vacancy rate assessment method based on an electric energy service management platform" (application number: CN201510528099.7) discloses a housing vacancy rate assessment method based on an electric energy service management platform, which comprises the following steps: analyzing the characteristics of the zero-electricity user through an electric energy service management platform to obtain screening conditions of the vacant house; screening vacant rooms in the user group according to the screening conditions; and calculating the housing vacancy rate of the vacant housing. The method calculates the housing vacancy rate based on the electricity consumption data, and saves the statistical cost. In addition, there are other methods of counting the vacancy rate by using water, gas, or the like. However, the above methods of collecting water, electricity and gas to perform vacancy rate depend on a perfect energy consumption collection system, have high requirements on basic conditions of cells, many cells may not have perfect collection conditions, especially old cells, energy consumption measurement and collection data are directly sent to corresponding energy supply companies, communities are in reason of privacy protection of users and are difficult to obtain energy consumption data, and the feasibility of the methods is not high.
Disclosure of Invention
The invention aims to accurately evaluate the vacancy rate of a house by a high-altitude parabolic camera. The common video monitoring mainly covers the ground, roads and entrances and exits, and generally can not cover high-rise buildings. The high-altitude parabolic camera is used for detecting objects falling from high-rise windows, and is characterized in that the coverage range of video pictures comprises the whole building and mainly covers all windows, so that the high-altitude parabolic camera can really acquire light data of the windows at night, analyze video images of the high-altitude parabolic camera and distinguish whether the windows live, and further accurately evaluate the vacancy rate of houses. The invention provides a method for assisting in analyzing the vacancy rate of a house by adopting high-altitude parabolic monitoring, and the technical scheme is as follows.
A method for analyzing the vacancy rate of a house by adopting high-altitude parabolic monitoring assistance comprises the following steps:
step S1: installing a high-altitude parabolic camera on the front side of the high-rise building, and starting the high-altitude parabolic camera to shoot all the day; the high-altitude parabolic camera can effectively cover the outer vertical surface of the whole building, and the measuring range can be effectively increased.
Step S2: counting the lighting condition of each house in the high-rise building at night on the day by the following statistical method;
and extracting frontal images of the high-rise building shot by a high-altitude parabolic camera within a fixed time period at night on the day according to the set time frequency, and then carrying out image processing on each frontal image to obtain a pixel brightness value of each grid, namely a first pixel brightness value.
Processing all extracted front images according to an image processing method to obtain all first average pixel brightness values of each grid, carrying out average calculation on all the first average pixel brightness values to obtain a second average brightness value, then sequentially comparing and judging the second average pixel brightness value of each grid with a brightness threshold value, if the second average pixel brightness value is larger than the brightness threshold value, judging that the window is lighted, and if the second pixel brightness value is smaller than the brightness threshold value, judging that the window is not lighted;
each grid corresponds to a house number according to house information provided by the property, then the lighting condition of the house in the same day is judged, if at least one window lighting occurs in the grid corresponding to the house, the room is lighted in the same day, and if the window lighting does not occur in the grid corresponding to the house, the room is lighted off in the same day;
step S3: according to the method for counting the lighting condition of the house in the high-rise building at night in the same day in the step S2, the number of lighting condition days at each house night in continuous fixed days is counted, then the number of lighting days and an idle threshold value are judged, if the number of lighting days is larger than the idle threshold value, it is judged that the house is occupied, and if the number of lighting days is smaller than or equal to the idle threshold value, it is judged that the house is not occupied.
Specifically, the process of dividing the grid is as follows: the grid is divided into SxS grids according to the number of windows and the positions of the windows.
Specifically, the process of the image processing in step S2 is as follows: and extracting the average pixel brightness value of each grid, namely the first average pixel brightness value, according to the RGB value of each pixel point of each grid through software extraction.
Specifically, the time frequency is every 10 min/time.
Specifically, the luminance threshold is 126.
Specifically, the idle threshold is 0 day.
The advantages of this method can be derived from the above description:
(1) the measurement cost is low. The method for analyzing the housing vacancy rate by the aid of high-altitude parabolic monitoring only needs to analyze by means of the video of a high-altitude parabolic camera, new hardware does not need to be added, hardware cost is reduced, and a high-altitude parabolic camera is endowed with a new function;
(2) the measurement precision is high, and the measurement range is wide. The high-altitude parabolic camera can cover the outer vertical surface of the whole building, the bright condition of each window is analyzed, the measurement range can be effectively enlarged, in addition, the bright condition of the lamp in the house can be monitored in real time according to an image analysis method, and the vacant state of the house can be accurately judged.
(3) The effectiveness is strong. The vacant state of the house changes along with time, and the latest vacant state of the house can be obtained through continuous analysis of the high-altitude parabolic collected images every day.
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Fig. 1 is a flowchart of a method for analyzing a vacancy rate of a house with assistance of high-altitude parabolic monitoring.
Detailed Description
The technical scheme of the invention provides a method for analyzing the vacancy rate of a house by adopting high-altitude parabolic monitoring, as shown in figure 1, the technical scheme is as follows:
a method for analyzing the vacancy rate of a house by adopting high-altitude parabolic monitoring assistance comprises the following steps:
step S1: in order to improve the measuring range, a high-altitude parabolic camera is installed on the front side of the high-rise building, and the high-altitude parabolic camera is started to shoot;
step S2: and counting the lighting conditions of each house in the high-rise building from 8 o 'clock to 10 o' clock in the evening. The statistical method is as follows;
in order to improve the accuracy of measurement, 12 front images of the high-rise building shot by a high-altitude parabolic camera from 8 o 'clock to 10 o' clock in the evening of the day are extracted every 10 minutes. Then each front image is subjected to image processing: the method comprises the steps of dividing the window into SxS grids according to the number of the windows and the positions of the windows, and extracting the average pixel brightness value of each grid, namely the first average pixel brightness value, according to the RGB value of each pixel point of each grid through software extraction.
And processing 12 front images according to the image processing method to obtain 12 first average pixel brightness values of each grid, and averaging the 12 first pixel brightness values to obtain an average pixel brightness value of each grid within 8 to 10 points, namely a second average brightness value. And then, comparing and judging the second average pixel brightness value of each grid with a brightness threshold value, wherein the brightness threshold value is 126. And if the second average pixel brightness value is larger than 126, the window is judged to be lighted on, and if the second pixel brightness value is smaller than 126, the window is judged to be lighted off.
And (3) according to house information provided by the property, corresponding each grid to a house number, such as corresponding grid 1 and grid 2 to 1202 rooms, and corresponding grid 3 and grid 4 to 1203 rooms, and then judging the lighting condition of the house in the day. And if at least one window in the grid corresponding to the house is lighted, the room is lighted on the day, and if no window in the grid corresponding to the house is lighted, the room is lighted off the day.
Step S3: since the vacant state of the house changes with time, in order to increase the timeliness of measurement, the lighting condition of the house is measured in a continuous period of time to accurately judge the vacant condition of the house. According to the method for counting the lighting condition of the house in the high-rise building at night in the same day in the step S2, the lighting condition days at each house night in 15 consecutive days are counted, then the lighting condition days and an idle threshold are judged, the idle threshold is 0 day, if the lighting condition days are more than 0 day, the house is judged to be occupied, and if the lighting condition days are less than or equal to 0 day, the house is judged to be unoccupied.
The advantages of this method can be derived from the above description:
(1) the measurement cost is low. The method for analyzing the housing vacancy rate by using the high-altitude parabolic monitoring assistance is adopted, analysis is carried out only by depending on the video of the high-altitude parabolic camera, new hardware does not need to be added, hardware cost is reduced, and a high-altitude parabolic function is endowed with a new function;
(2) the measurement precision is high, and the measurement range is wide. The high-altitude parabolic camera can cover the outer vertical surface of the whole building, and analyzes the light condition of each window, so that the measurement range can be effectively increased.
(3) The effectiveness is strong. The vacant state of the house changes along with time, and the latest vacant state of the house can be obtained through continuous analysis of the high-altitude parabolic collected images every day.
It should be understood that the detailed description of the invention is merely illustrative of the invention and is not intended to limit the invention to the specific embodiments described. It will be appreciated by those skilled in the art that the present invention may be modified or substituted equally as well to achieve the same technical result; as long as the use requirements are met, the method is within the protection scope of the invention.
Claims (5)
1. A method for analyzing the vacancy rate of a house by adopting high-altitude parabolic monitoring is characterized by comprising the following steps:
step S1: installing a high-altitude parabolic camera on the front side of the high-rise building, and starting the high-altitude parabolic camera to shoot all the day;
step S2: counting the lighting condition of each house in the high-rise building at night in the day,
extracting front images of a high-rise building shot by a high-altitude parabolic camera within a fixed time period at night on the day according to the set time frequency, then carrying out grid division on each front image, and then carrying out image processing to obtain a first average pixel brightness value of each grid;
processing all the front images according to the image processing method to obtain all first average pixel brightness values of each grid, carrying out average calculation on all the first average pixel brightness values to obtain a second average brightness value, then sequentially comparing and judging the second average pixel brightness value of each grid with a brightness threshold value, if the second average pixel brightness value is larger than the brightness threshold value, judging that the window is lighted, and if the second pixel brightness value is smaller than the brightness threshold value, judging that the window is not lighted;
each grid corresponds to a house number according to house information provided by the property, then the lighting condition of the house on the same day is judged, if at least one window lighting occurs in the grid corresponding to the house, the house is lighted on the same day, and if the window lighting does not occur in the grid corresponding to the house, the house is turned off on the same day;
step S3: according to the situation that the house in the high-rise building is lighted at night in the current day counted in the step S2, the number of lighting days at each house night in continuous fixed days is counted, the number of lighting days and an idle threshold value are judged, if the number of lighting days is larger than the idle threshold value, it is judged that the house is occupied, and if the number of lighting days is smaller than the idle threshold value, it is judged that the house is unoccupied.
2. The method for assisting in analyzing the vacancy rate of the house by high altitude parabolic monitoring as claimed in claim 1, wherein the image processing in step S2 is as follows: and calculating the average pixel brightness value of each grid according to the RGB value of each pixel point of each grid through software, namely obtaining the first average pixel brightness value.
3. The method for assisting in analyzing the vacancy rate of the house by using high altitude parabolic monitoring as claimed in claim 1, wherein the process of meshing is as follows: the grid is divided into SxS grids according to the number of windows and the positions of the windows.
4. The method for aided analysis of the vacancy rate of a house by high altitude parabolic monitoring as claimed in claim 1, wherein the brightness threshold is 126.
5. The method for assisting in analyzing the vacancy rate of the house by high altitude parabolic monitoring as claimed in claim 1, wherein the vacancy threshold is 0 day.
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| JP7218754B2 (en) * | 2018-05-23 | 2023-02-07 | 日本電気株式会社 | Vacant house determination device, vacant house determination method and program |
| CN110264381B (en) * | 2019-05-22 | 2023-12-19 | 中国科学院地理科学与资源研究所 | House residence ratio estimation method |
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| CN111553256A (en) * | 2020-04-26 | 2020-08-18 | 上海天诚比集科技有限公司 | High-altitude parabolic early warning identification method based on object track identification |
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