CN115345416A - Housing vacancy rate estimation based on gas data for natural gas - Google Patents
Housing vacancy rate estimation based on gas data for natural gas Download PDFInfo
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- CN115345416A CN115345416A CN202210639686.3A CN202210639686A CN115345416A CN 115345416 A CN115345416 A CN 115345416A CN 202210639686 A CN202210639686 A CN 202210639686A CN 115345416 A CN115345416 A CN 115345416A
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Abstract
The invention belongs to a new generation of information technology and related service industry thereof, relates to IPC numbers G06Q10 and G06F16, provides housing vacancy rate evaluation based on natural gas consumption data, and comprises the steps of analyzing accumulated data of natural gas consumption of residents to obtain screening conditions of housing vacancy and potential housing vacancy users; further confirming the vacant housing by combining the monthly change rate of the natural gas consumption of the user; calculating the housing vacancy rate of the cell according to the data of the cell in which the vacant housing is positioned; and positioning the address of the vacant house, and matching the address text information with a space map to form map display of the vacant house rate. According to the invention, the vacant rate of the housing is statistically calculated through the gas data for the natural gas, and the vacant rate is matched with the map for display according to the vacant housing address, so that the trouble of household investigation and statistics is reduced, and the calculation accuracy of the vacant rate is improved; the method provides a new idea for the investigation and statistics of the vacancy of the house at present, and also provides a technical means for the accurate gas service and the prediction and analysis of the gas consumption of residents in the smart city.
Description
Technical Field
The invention belongs to a new generation of information technology and related service industry thereof, relates to the field of IPC classification numbers G06Q10/00 and G06F16/00, and particularly relates to a method for estimating the housing vacancy rate based on gas consumption data of natural gas.
Background
The housing vacancy rate is the proportion of the housing vacant at a certain time node to the total number of the housing, is the basic data of real estate statistics, and is an important index parameter of city vitality and economic development. The European and American countries regularly release the housing vacancy rate by using census data and housing survey information. China is rapidly urbanized, the real estate industry is vigorously developed, a huge incremental market is formed, the development process of real estate is short and only has more than 30 years of history, and unified and effective investigation and estimation on the vacancy rate of houses are not formed by general population survey and statistical work of related departments.
Disclosure of Invention
The invention aims to overcome the problems in the prior art and provides a method for estimating the vacant house rate based on natural gas consumption data, which is used for estimating the vacant house of each cell in a city to obtain approximate numerical values and data of house utilization rate.
Therefore, the invention provides a method for estimating the housing vacancy rate based on gas data for natural gas, which comprises the following steps:
s1: acquiring accumulated data of the amount of used natural gas in the region by a natural gas company of the region, calculating the monthly average gas usage value of the user, screening the monthly average gas usage value of the user according to a one-third metering principle to obtain a screening threshold value, and judging the user smaller than the screening threshold value as a potential vacant housing user;
s2: calculating the monthly change rate of the natural gas consumption of the potential vacant house users, comparing the monthly change rate of the natural gas consumption of each house with the set change rate, and judging the users with the change rate larger than the set change rate as the vacant house users;
s3: respectively calculating the housing vacancy rate of each cell according to the data of each cell in the region, and performing map matching according to the cell address;
s4: and displaying the housing vacancy rate of each cell on a map in the region.
Preferably, in step S1, the following steps are included:
s2-1: according to the natural gas opening time of each user, counting the users meeting the set opening time to obtain target users;
s2-2: collecting natural gas resident quantity statistical extreme values of all users of a target user, a monthly average value of all users of the target user and a monthly average value of each user of the target user;
s2-3: calculating the average monthly air consumption value of each household in the target users, and determining the threshold value of the air consumption of the potential vacant houses according to a one-third metering principle;
s2-4: and comparing the monthly average gas consumption value of each user with the threshold value of the potential vacant house gas consumption, and judging that the user is a potential vacant house user when the monthly average gas consumption value of the user is less than the threshold value of the potential vacant house gas consumption.
Preferably, in step S2, the set rate of change is 10%.
Preferably, in step S2, the monthly change rate of the user natural gas usage is a change rate of the user natural gas usage in the month relative to the user natural gas usage in the previous month.
Preferably, in step S3, the calculation of the housing vacancy rate of the cell includes the following steps:
S3-1：counting the number F of the vacant house users in the cell according to S1 and S2 k ；
S3-2: counting the total number of house users F in a cell a ；
S3-3: according to the formula R house ＝F k /F a Calculating the housing vacancy rate R of the cell house 。
Preferably, in step S3, the map matching according to the cell address includes performing address conversion on the cell name by an API tool in the map software, converting the address name into latitude and longitude coordinate information, and storing the cell address name and the housing vacancy rate data together.
Preferably, in step S4, the Geographic Information System (GIS) is used to map the spatial distribution of the address name of the cell with the longitude and latitude coordinate information and the vacancy rate data of the house.
The invention provides a method for estimating the housing vacancy rate based on natural gas consumption data, which has the following beneficial effects:
the vacant rate of the housing is calculated through the gas data for the natural gas, and the vacant rate is matched with the address of the vacant housing to be displayed on a map, so that the trouble of household investigation and statistics is reduced, and the calculation accuracy of the vacant rate is improved; the method provides a new idea for the investigation and statistics of the vacancy of the house at present, and also provides a technical means for the accurate gas service and the prediction and analysis of the gas consumption of residents in the smart city.
Drawings
FIG. 1 is a schematic diagram of a housing vacancy rate estimation method based on gas data for natural gas according to the present invention;
fig. 2 is a schematic flow chart of a housing vacancy rate estimation method based on gas data for natural gas according to the present invention.
Detailed Description
An embodiment of the present invention will be described in detail below with reference to the accompanying drawings, but it should be understood that the scope of the present invention is not limited to the embodiment.
As shown in fig. 1-2, an embodiment of the present invention provides a housing vacancy rate estimation method based on natural gas consumption data, including the following steps:
s1: acquiring accumulated data of the amount of used natural gas in the region through an official network of a natural gas company of the region, calculating the monthly average gas usage value of the user, screening the monthly average gas usage value of the user according to a one-third metering principle to obtain a screening threshold value, and judging the user smaller than the screening threshold value as a potential vacant housing user; the one-third metering principle is one third of the average value, one third of the average value is used as a standard value for screening, in the step, statistics is carried out according to the gas consumption amount of each user, if the gas consumption amount of the user is larger than the standard value, the user is inhabited, at least, the residence time of the user in one month is two thirds, therefore, the user is considered to be inhabited, otherwise, the user is considered to be an empty residence user preliminarily screened, namely a potential empty residence user. Therefore, the next step will be to make articles based on potential vacant house users.
S2: calculating the monthly change rate of the natural gas consumption of the potential vacant housing users, comparing the monthly change rate of the natural gas consumption of each user with the set change rate, and judging the users with the change rate larger than the set change rate as the vacant housing users; the potential vacant house users are taken as a statistical group, in order to further determine the vacant house users, the monthly change rate of the gas consumption is adopted, the monthly change rate is relative to the change rate of the last month, if people live in the vacant house users, each month can be fired for cooking, so the monthly change rate is not too large, otherwise, the same unoccupied house users are considered, meanwhile, the vacant house users with the monthly change rate of 0 and the gas consumption of 0 are directly brought into the vacant house users for statistics, and the step of screening can screen out the users which are normally saved and the total gas consumption of which is one third of the average value, so that the result is more accurate.
S3: respectively calculating the housing vacancy rate of each cell according to the data of each cell in the region, and performing map matching according to the cell address; the statistics is carried out according to residents of the cell and vacant house users, and the matching on the map only needs to be carried out by corresponding the cell to the map software one by one.
S4: and displaying the housing vacancy rate of each cell on a map in the region. And the vacancy rate of the residential building of the cell which is counted successfully is displayed on the map software, and the interface is more visual.
Further, in step S1, the following steps are included, which describe in more detail how to count the gas usage of each user in step S1:
s2-1: according to the natural gas opening time of each user, counting the users meeting the set opening time to obtain target users;
s2-2: collecting natural gas resident quantity statistical extreme values of all users of a target user, a monthly average value of all users of the target user and a monthly average value of each user of the target user;
s2-3: calculating the average monthly air consumption value of each household in the target users, and determining the threshold value of the air consumption of the potential vacant houses according to a one-third metering principle;
s2-4: and comparing the average monthly air consumption value of each user with the threshold value of the potential vacant house air consumption, and judging that the user is the potential vacant house user when the average monthly air consumption value of the user is less than the threshold value of the potential vacant house air consumption.
Further, in step S2, the set change rate is 10%, and the set 10% is the standard of the 10% obtained from a large amount of data according to the random sampling of each cell, and according to the standard, the accuracy for the vacant house user is the highest.
Further, in step S2, the monthly change rate of the natural gas consumption of the user is a change rate of the natural gas consumption of the month of the user relative to the natural gas consumption of the last month of the user. Because the user cannot guarantee that the gas consumption is consistent every month, the statistical change rate can reflect the gas consumption of the user very accurately.
Further, in step S3, the calculation of the housing vacancy rate of the cell includes the following steps:
s3-1: counting the number F of the vacant house users in the cell according to the S1 and the S2 k ；
S3-2: total housing of statistical cellNumber of households F a ；
S3-3: according to the formula R house ＝F k /F a Calculating the housing vacancy rate R of the cell house 。
In general, the ratio of empty housing users to total housing users is such that a percentage, preferably multiplied by one hundred percent, is used for format conversion.
Further, in step S3, the map matching according to the cell address includes performing address conversion on the cell name by using an API tool in the map software, converting the address name into latitude and longitude coordinate information, and storing the cell address name and the data of the vacancy rate of the house together. For example, baidu maps, google maps, and Goodpasts maps are used to mark landmark buildings on maps on map software.
Further, in step S4, a GIS tool is used to map the spatial distribution of the address name of the cell with longitude and latitude coordinate information and the vacancy rate data of the house. And (5) carrying out basic processing on the statistical result.
In summary, the present invention provides a method for estimating a housing vacancy rate based on gas consumption data of natural gas, including: acquiring screening conditions of the vacant house by analyzing accumulated data of gas consumption of natural gas of residents, and acquiring potential vacant house users; on the basis of the potential vacant house, the vacant house is further confirmed by combining the monthly change rate of the natural gas consumption of the user; calculating the vacant rate of the housing of the cell according to the data of the cell in which the vacant housing is positioned; and positioning the address of the vacant house, and matching the address text information with a space map to form map display of the vacant house rate. According to the invention, the vacant rate of the housing is statistically calculated through the gas data for the natural gas, and the vacant rate is matched with the map for display according to the vacant housing address, so that the trouble of household investigation and statistics is reduced, and the calculation accuracy of the vacant rate is improved; a new thought is provided for the investigation and statistics of the vacant house at present, and a technical means is provided for the accurate gas service and the prediction and analysis of the gas consumption of residents in the smart city.
Claims (8)
1. The method for estimating the housing vacancy rate based on the gas data for the natural gas comprises the following steps:
s1: acquiring accumulated data of the amount of used natural gas in the region through an official network of a natural gas company of the region, analyzing the monthly average gas consumption value of each household of the user, screening the monthly average gas consumption value of each household according to a one-third metering principle, and judging that the user smaller than the screening threshold is a potential vacant housing user;
s2: calculating the monthly change rate of the natural gas consumption of the potential vacant housing users, comparing the monthly change rate of the natural gas consumption of each user with the set change rate, and judging the users with the change rate larger than the set change rate as the vacant housing users;
s3: respectively calculating the housing vacancy rate of each cell according to the data of each cell in the region, and optionally performing map matching according to the cell address;
alternatively, S4: and displaying the housing vacancy rate of each cell on a map in the region.
2. The housing vacancy rate estimation method of claim 1, wherein the step S1 comprises the steps of:
s1-1: according to the natural gas opening time of each user, counting the users meeting the set opening time to obtain target users;
s1-2: collecting natural gas resident quantity statistical extreme values of all users of a target user, a monthly average value of all users of the target user and a monthly average value of each user of the target user;
s1-3: calculating the monthly average gas consumption value of each user in the target users, and determining the threshold value of the potential vacant house gas consumption according to a one-third metering principle;
s1-4: and comparing the average monthly air consumption value of each user with the threshold value of the potential vacant house air consumption, and judging that the user is the potential vacant house user when the average monthly air consumption value of the user is less than the threshold value of the potential vacant house air consumption.
3. The housing vacancy rate estimation method of claim 1, wherein the set rate of change of step S2 is 10%.
4. The housing vacancy rate estimation method of claim 1, wherein in step S2, the monthly change rate of the natural gas usage is a change rate of the natural gas usage of the month of the user relative to the natural gas usage of the month of the user.
5. The occupancy estimation method of claim 1, wherein in step S3, the calculation of the occupancy of the cell comprises the steps of:
s3-1: counting the number F of the vacant house users in the cell according to the S1 and the S2 k ；
S3-2: counting the total number of house users F in a cell a ；
S3-3: according to the formula R house =F k /F a Calculating the housing vacancy rate R of the cell house 。
6. The housing vacancy rate estimation method of claim 1, wherein the map matching according to the cell address in step S3 includes address conversion of the cell name by an API tool in the map software, converting the address name into latitude and longitude coordinate information, and storing the cell address name and the housing vacancy rate data together.
7. The housing vacancy rate estimation method of claim 1, wherein in step S4, the cell address name and the housing vacancy rate data with longitude and latitude coordinate information are mapped spatially using a GIS tool.
8. The housing vacancy rate estimation method of any preceding claim, wherein step S2 further comprises counting occupants with a monthly change rate of 0 and an air usage of 0 as vacant housing users.
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| CN202210639686.3A CN115345416A (en) | 2019-03-29 | 2019-03-29 | Housing vacancy rate estimation based on gas data for natural gas |
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| CN202210639686.3A CN115345416A (en) | 2019-03-29 | 2019-03-29 | Housing vacancy rate estimation based on gas data for natural gas |
| CN201910252238.6A CN109978394A (en) | 2019-03-29 | 2019-03-29 | A kind of Research on Housing Vacancy Rate evaluation method based on natural gas destiny evidence |
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| CN110866787A (en) * | 2019-11-18 | 2020-03-06 | 许昌学院 | Vacant building statistical method based on mobile phone signaling and building outline |
| CN111209534A (en) * | 2019-12-23 | 2020-05-29 | 广西电网有限责任公司 | Method for dividing electricity using state of customer based on electricity consumption data of resident customer |
| CN112907063B (en) * | 2021-02-10 | 2023-02-28 | 国网河北省电力有限公司信息通信分公司 | Population mobility rate and house vacancy rate determining method and terminal equipment |
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| KR101856680B1 (en) * | 2017-11-15 | 2018-05-14 | (주)진전기엔지니어링 | Water leak detecting system for use of fire pipe in apartmenthouse |
| CN108805784A (en) * | 2018-08-24 | 2018-11-13 | 佛山市城市规划设计研究院 | Urban House and Population Capacity dynamic monitoring system |
| CN109447404A (en) * | 2018-09-20 | 2019-03-08 | 深圳供电局有限公司 | Appraisal procedure, device, computer equipment and the storage medium of Research on Housing Vacancy Rate |
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