CN108776868A - A kind of rural area village hollowing appraisal procedure and device based on electricity consumption big data - Google Patents
A kind of rural area village hollowing appraisal procedure and device based on electricity consumption big data Download PDFInfo
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- CN108776868A CN108776868A CN201810570425.4A CN201810570425A CN108776868A CN 108776868 A CN108776868 A CN 108776868A CN 201810570425 A CN201810570425 A CN 201810570425A CN 108776868 A CN108776868 A CN 108776868A
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Abstract
A kind of rural area village hollowing appraisal procedure and device, wherein method based on electricity consumption big data provided by the invention include：It is according to each user that User Profile information detailed data and the execution of electricity statistical data detailed data is operation associated, and year electricity consumption is determined as hollow user in default year electricity consumption threshold value user below；Hollow user in counting statistics region accounts for the percentage of total user in the statistical regions, judges whether the percentage is more than predetermined threshold value, if so, determining that the statistical regions are rural area village hollowing.The present invention in default year electricity consumption threshold value user below by year electricity consumption by being determined as hollow user, staff is allow to calculate the percentage of hollow user from all users by big data operation, whether there is rural area village hollowing to one rural area of accurate judgement, solves that at present there is no the prior arts the technical issues of rural area village hollowing phenomenon whether occurs with one rural area of accurate judgement.
Description
Technical field
The present invention relates to electricity consumption assessment technology field more particularly to a kind of rural area village hollowing assessments based on electricity consumption big data
Method and device.
Background technology
Since reforming and opening up to the outside world 40 years, extensive and profound changes have occurred in Chinese countryside.Rural area is gradually from traditional society
It is developed to modern society, from agricultural society to industrial society, from enclosed type society to opening society.With industrialization and cities and towns
The iterative method of change, people in the countryside non-agricultural-transformation transfer velocity are constantly accelerated, and economic condition preferable peasants in cities in part is in city
It purchases new house and gives up rural area Lao Zhai later, settle down in city.And fail to buy the peasant of new house in city, with economy
Great variety also has occurred in the improvement of condition and the raising of income level, the requirement to itself living environment, and rural area creates house
Quickly increase.In addition the shortage of Rural Areas at Present construction, Village-town Planning, grange management etc. management, many peasants are
A large amount of farmlands are even occupied around village side, roadside to build a house, the impetus of extensive development occurs in the village in rural area.
With the reduction of people in the countryside, the development of rural society has lacked necessary labour and has supported and gradually move towards to decline
It falls, the problems such as lag of economic development, leaving the land uncultivated, public infrastructure development stagnation and rural culture decline highlights, agriculture
Village's village hollowing increasingly sharpens.Although rural area village hollowing has certain generality in the world, carried on the back in the special system of China
Rural area village hollowing problem under scape, it is more complicated more than other countries, severeer.With the continuous reduction of people in the countryside and the whole family
Immigrant laborers rural migrant worker's number is continuously increased, and the rural technique market that the population peak phase occupies largely can leave unused, rural area
Village hollowing will grow in intensity.
Since at the end of the 20th century, academia, government's growing interest rural area village hollowing problem." village hollowing " this concept, one
Aspect reflects the development form of China's rural settlement, on the other hand the serious waste of land resource embodies China in economy
Stress city construction planning and building during social fast development, ignore rural and agricultural peasant long term growth and interests at a specified future date,
The theoretical research for lacking villages and small towns allocation plan, results in the appearance of " village hollowing " present situation, while with also having aggravated people contradiction, this
Severe form is but also some scholars start from different perspectives to carry out rural area village hollowing deep investigation.
At present there is no the prior arts rural area village hollowing phenomenon whether occurs with one rural area of accurate judgement, for example, on the spot
Investigation, or probably judge from satellite mapping.Investigation is limited by obtained data volume on the spot, which is difficult to realize entirely
The village hollowing in the rural area of province's scale is studied.And satellite mapping is only it is observed that the house left uncultivated, is defined as village hollowing spy
Sign, it is difficult to comprehensively describe other kinds of village hollowing rural area.
Invention content
The present invention provides a kind of rural area village hollowing appraisal procedure and device based on electricity consumption big data, for solving at present
Temporarily the technical issues of rural area village hollowing phenomenon whether can occur with one rural area of accurate judgement without the prior art.
A kind of rural area village hollowing appraisal procedure based on electricity consumption big data provided by the invention, including：
S1, User Profile information detailed data and electricity statistical data detailed data are obtained；
S2, User Profile information detailed data is associated with by behaviour with the execution of electricity statistical data detailed data according to each user
Make, obtains the corresponding User Profile information of each user and electricity consumption information；
S3, according to the corresponding User Profile information of each user and electricity consumption information by year electricity consumption in default year electricity consumption
Threshold value user below is determined as hollow user；
Hollow user in S4, counting statistics region accounts for the percentage of total user in the statistical regions, judges the percentage
Than whether being more than predetermined threshold value, if so, determining that the statistical regions are rural area village hollowing.
Preferably, the step S2 is specifically included：
S201, according to files on each of customers letter corresponding with the family number is read number from User Profile information detailed data in every family
Breath, according to reading electricity consumption information corresponding with the family number number from electricity statistical data detailed data in every family；
S202, it is associated with the corresponding User Profile information in the family number and electricity consumption information, forms the monthly electricity detail list of peasant household.
Preferably, the step S3 is specifically included：
S301, judge whether it is all judge to finish with a number corresponding user in every family, if so, S4 is thened follow the steps, if it is not, then
First is read from the monthly electricity detail list of peasant household or next in every family number and executing step S302；
S302, it is read from the monthly electricity detail list of peasant household and uses number corresponding monthly electricity consumption in every family, according to monthly use
A year electricity consumption is calculated in electricity, judges whether the corresponding year electricity consumption in the family number is less than default year electricity consumption threshold value, if so,
Judge that the corresponding user in the family number is hollow user and returns to step S301, if it is not, then returning to step S301.
Preferably, the step S4 is specifically included：
The number of S401, the family number for obtaining the corresponding all users of statistical regions and the corresponding all users in counting statistics region
Amount；
S402, judge that result obtains statistical regions pair according to the family number of the corresponding all users of statistical regions and hollow user
The quantity of the hollow user answered；
S403, it is obtained with the quantity of the quantity of the corresponding hollow user of statistical regions divided by the corresponding all users of statistical regions
Hollow user in statistical regions accounts for the percentage of total user in the statistical regions；
S404, judge whether the percentage is more than predetermined threshold value, if so, determining that the statistical regions are rural area village hollowing.
Preferably, further include after the step S1, before step S2：
Judge whether there are data for blank in User Profile information detailed data and electricity statistical data detailed data, if
It is then to delete the corresponding data of the clear data.
Preferably, further include after the step S1, before step S2：
Judge whether data redundancy occur in User Profile information detailed data and electricity statistical data detailed data, if
It is then to delete the corresponding redundant data of data redundancy.
Preferably, further include after the step S1, before step S2：
Judge whether data formatting error occur in User Profile information detailed data and electricity statistical data detailed data,
If so, the data of format error and its corresponding data are deleted.
Preferably, the User Profile information detailed data includes：Power supply unit, taiwan area number, family number, name in an account book, user
Classification.
Preferably, the electricity statistical data detailed data includes family number, month electricity consumption, data time.
A kind of rural area village hollowing apparatus for evaluating based on electricity consumption big data provided by the invention, described device includes processor
And memory：
Said program code is transferred to the processor by the memory for storing program code；
What the processor was used for according to a kind of above-mentioned of the instruction execution in said program code based on electricity consumption big data
Rural area village hollowing appraisal procedure.
As can be seen from the above technical solutions, the present invention has the following advantages：
A kind of rural area village hollowing appraisal procedure and device based on electricity consumption big data provided by the invention, wherein method packet
It includes：S1, User Profile information detailed data and electricity statistical data detailed data are obtained；S2, according to each user by user shelves
Case information detailed data and the execution of electricity statistical data detailed data are operation associated, obtain the corresponding files on each of customers letter of each user
Breath and electricity consumption information；S3, year electricity consumption is being preset according to the corresponding User Profile information of each user and electricity consumption information
Year, electricity consumption threshold value user below was determined as hollow user；Hollow user in S4, counting statistics region accounts for the statistical regions
The percentage of interior total user, judges whether the percentage is more than predetermined threshold value, if so, determining that the statistical regions are that rural area is empty
The heart.The present invention in default year electricity consumption threshold value user below by year electricity consumption by being determined as hollow user so that work
Personnel can calculate the percentage of hollow user by big data operation from all users, to one rural area of accurate judgement
Whether there is rural area village hollowing, solves whether rural area can occur with one rural area of accurate judgement hollow at present there is no the prior art
The technical issues of changing phenomenon.
Description of the drawings
It in order to illustrate the embodiments of the present invention more clearly, below will be to required use in embodiment or description of the prior art
Attached drawing be briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for this
For the those of ordinary skill of field, without having to pay creative labor, it can also be obtained according to these attached drawings other
Attached drawing.
Fig. 1 is a kind of one embodiment of the rural area village hollowing appraisal procedure based on electricity consumption big data provided by the invention
Schematic diagram；
Fig. 2 is a kind of another embodiment of the rural area village hollowing appraisal procedure based on electricity consumption big data provided by the invention
Schematic diagram；
Fig. 3 is a kind of another embodiment of the rural area village hollowing appraisal procedure based on electricity consumption big data provided by the invention
The schematic diagram of the evaluation criterion of the middle hollow user of explanation.
Specific implementation mode
The present invention provides a kind of rural area village hollowing appraisal procedure and device based on electricity consumption big data, for solving at present
Temporarily the technical issues of rural area village hollowing phenomenon whether can occur with one rural area of accurate judgement without the prior art.
In order to make the invention's purpose, features and advantages of the invention more obvious and easy to understand, below in conjunction with the present invention
Attached drawing in embodiment, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that disclosed below
Embodiment be only a part of the embodiment of the present invention, and not all embodiment.Based on the embodiments of the present invention, this field
All other embodiment that those of ordinary skill is obtained without making creative work, belongs to protection of the present invention
Range.
Referring to Fig. 1, an a kind of reality of rural area village hollowing appraisal procedure based on electricity consumption big data provided by the invention
Example is applied, including：
101, User Profile information detailed data and electricity statistical data detailed data are obtained；
102, User Profile information detailed data is associated with the execution of electricity statistical data detailed data according to each user
Operation, obtains the corresponding User Profile information of each user and electricity consumption information；
103, according to the corresponding User Profile information of each user and electricity consumption information by year electricity consumption in default year electricity consumption
Amount threshold value user below is determined as hollow user；
104, the hollow user in counting statistics region accounts for the percentage of total user in the statistical regions, judges the percentage
Than whether being more than predetermined threshold value, if so, determining that the statistical regions are rural area village hollowing.
The present invention in default year electricity consumption threshold value user below by year electricity consumption by being determined as hollow user so that work
The percentage of hollow user can be calculated by big data operation from all users by making personnel, to one agriculture of accurate judgement
Whether village there is rural area village hollowing, solve at present there is no the prior art whether can occur with one rural area of accurate judgement rural area sky
The technical issues of heart phenomenon.
It is to a kind of implementation of the rural area village hollowing appraisal procedure based on electricity consumption big data provided by the invention above
Example is described in detail, below will be to a kind of rural area village hollowing appraisal procedure based on electricity consumption big data provided by the invention
Another embodiment is described in detail.
Referring to Fig. 2, another of a kind of rural area village hollowing appraisal procedure based on electricity consumption big data provided by the invention
Embodiment, including：
201, User Profile information detailed data and electricity statistical data detailed data are obtained；
User Profile information detailed data at least may include：Power supply unit (includes power supply bureau of districts and cities, district grade power supply
Office, power supply station power supply branch office, taiwan area), taiwan area number, family number, name in an account book, user classify.Electricity statistical data detailed data is at least
May include family number, month electricity consumption, data time.Can be in Greenplum databases, inquiry business system related data
Table, obtains User Profile information detail and electricity statistical data is detailed；User Profile information detailed data and electricity statistical data
Detailed data can be arranged in metering automation system.In GP data inventories, relevant inquiring sentence is write, accesses kilowatt meter
Automated system database is measured, the whole province's rural area electricity statistical data and peasant household's archives table data are obtained, extracts field information packet
It includes：Power supply unit (comprising power supply bureau of districts and cities, district grade power supply bureau, power supply station power supply branch office, taiwan area), taiwan area number, family number,
Name in an account book, user's classification, moon electricity etc., itemized bill exports to form rural resident《User Profile information table》With《Electricity statistics is bright
Thin table》.
202, judge whether there are data for blank in User Profile information detailed data and electricity statistical data detailed data,
If so, the corresponding data of the clear data are deleted.
203, judge whether data redundancy occur in User Profile information detailed data and electricity statistical data detailed data,
If so, the corresponding redundant data of data redundancy is deleted.
204, judge whether data format occur in User Profile information detailed data and electricity statistical data detailed data
Mistake, if so, the data of format error and its corresponding data are deleted.
Step 202 is in fact to rural resident to step 204《User Profile information table》With《Electricity counts detail list》
Cleaning operation is carried out, according to following data cleansing rule, the data not in scope of statistics are cleaned：
Cleaning rule one：Each field any data missing is defined as shortage of data (it is blank to have data).It such as powers list
Position (comprising power supply bureau of districts and cities, district grade power supply bureau, power supply station power supply branch office, taiwan area), taiwan area number, family number, name in an account book, user
The data such as classification, moon electricity are sky.
Cleaning rule two：Detailed entry repeats to be defined as data redundancy.As power supply unit (is powered comprising districts and cities
Office, district grade power supply bureau, power supply station power supply branch office, taiwan area), taiwan area number, family number, name in an account book, user's classification, moon electricity etc. it is several
According to repetition.For example, there is the repeatedly same family number.
Cleaning rule three：There is apparent common-sense mistake in business datum, that is, is defined as data inaccuracy.Such as power supply unit
(including power supply bureau of districts and cities, district grade power supply bureau, Gong electricity Suo power supplies branch office, taiwan area), taiwan area number, family number, name in an account book, Yong Hufen
Class, moon electricity etc. are not inconsistent with common sense.For example, the taiwan area number of the taiwan area number of the cities A under one's name generally 4 to 6 beginnings, but some
There is the taiwan area number of the cities A under one's name but with 1 beginning in data.
Cleaning rule four：Each field any data format it is lack of standardization i.e. be defined as it is lack of standardization.Such as monthly electricity data, time
Format is lack of standardization.
205, according to reading files on each of customers letter corresponding with the family number number from User Profile information detailed data in every family
Breath, according to reading electricity consumption information corresponding with the family number number from electricity statistical data detailed data in every family；
206, it is associated with the corresponding User Profile information in the family number and electricity consumption information, forms the monthly electricity detail list of peasant household.
Include the corresponding User Profile information of each user and electricity consumption information in the monthly electricity detail list of peasant household.It has cleaned
Bi Hou is merged by family number by rural resident《User Profile information table》With《Monthly electricity detail list》It is associated operation, is formed
《The monthly electricity detail list of peasant household》.The monthly electricity detail list of peasant household is in fact the data form inside database.
Table 1：The monthly electricity detail list of peasant household
| Serial number | Demand field | Data source |
| 1 | Power supply bureau of districts and cities | Metering automation system |
| 2 | Grade power supply bureau of counties and districts | Metering automation system |
| 3 | Power supply station power supply branch office | Metering automation system |
| 4 | Taiwan area | Metering automation system |
| 5 | Taiwan area is numbered | Metering automation system |
| 6 | Family number | Metering automation system |
| 7 | Name in an account book | Metering automation system |
| 8 | User classifies | Metering automation system |
| 9 | Monthly electricity | Metering automation system |
| 10 | Data time | Metering automation system |
207, judge whether it is all judge to finish with a number corresponding user in every family, if so, 209 are thened follow the steps, if it is not, then
First is read from the monthly electricity detail list of peasant household or next in every family number and executing step 208；
208, it is read from the monthly electricity detail list of peasant household and uses number corresponding monthly electricity consumption in every family, according to monthly electricity consumption
A year electricity consumption is calculated in amount, judges whether the corresponding year electricity consumption in the family number is less than default year electricity consumption threshold value, if so, sentencing
The fixed corresponding user in the family number is hollow user and returns to step 207, if it is not, then returning to step 207.
Whether year electricity consumption is less than the evaluation criterion that default year electricity consumption threshold value is hollow user, presets year electricity consumption threshold value
It can be set as 10 degree.Segmentation statistical analysis is made to total electricity consumption of certain year each user in certain province rural area, a year electricity consumption can be obtained and existed
User's ratio of 0-150 degree ranges, every 10 degree of electricity set a statistics section, as shown in Figure 3.The result shows that 0-10 degree electricity section
Amount ratio all be far above other electricity consumption sections amount ratio (Fig. 3).In general, it is just that 10 degree of year electricity consumption is below
Normal line loss can be considered " small incidental expenses electricity ".So it is best that year electricity consumption is determined as hollow user in 10 degree of electricity users below
Technical solution.
209, the family number of the corresponding all users of statistical regions and the number of the corresponding all users in counting statistics region are obtained
Amount；
210, judge that result obtains statistical regions pair according to the family number of the corresponding all users of statistical regions and hollow user
The quantity of the hollow user answered；
211, it is obtained with the quantity of the quantity of the corresponding hollow user of statistical regions divided by the corresponding all users of statistical regions
Hollow user in statistical regions accounts for the percentage of total user in the statistical regions；
212, judge whether the percentage is more than predetermined threshold value, if so, determining that the statistical regions are rural area village hollowing.
Step 207 can refer to writing SQL scripts in electric power sandbox environment to step 212, detailed to the monthly electricity of user
Table carries out data statistic analysis, and SQL scripts are sent to Greenplum databases and executed by electric power sandbox, obtain rural area village hollowing
Statistical result.
According to above-described embodiment, the application implements embodiments herein to somewhere, obtains knot as shown in Table 2
Fruit, from table 2 it can be seen that the hollow family accounting in two city A, C has increased trend year by year, it is seen that its village hollowing degree is increasingly
Height illustrates that the city is assessed as village hollowing if hollow family accounting is more than predetermined threshold value.
Table 2：In recent years hollow family accounting variation counts for somewhere districts and cities
| A | B | C | D | |
| 14 years | 9% | 20% | 15% | 31% |
| 15 years | 10% | 17% | 17% | 21% |
| 16 years | 12% | 17% | 17% | 22% |
| 17 years | 14% | 18% | 18% | 21% |
It below will be to a kind of implementation of the rural area village hollowing apparatus for evaluating based on electricity consumption big data provided by the invention
Example is described in detail.
A kind of one embodiment of rural area village hollowing apparatus for evaluating based on electricity consumption big data provided by the invention, device packet
Include processor and memory：
Program code is transferred to processor by memory for storing program code；
Processor is used for a kind of agriculture based on electricity consumption big data according to instruction execution above-described embodiment in program code
Village's village hollowing appraisal procedure.
The above, the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although with reference to before
Stating embodiment, invention is explained in detail, it will be understood by those of ordinary skill in the art that：It still can be to preceding
The technical solution recorded in each embodiment is stated to modify or equivalent replacement of some of the technical features；And these
Modification or replacement, the spirit and scope for various embodiments of the present invention technical solution that it does not separate the essence of the corresponding technical solution.
Claims (10)
1. a kind of rural area village hollowing appraisal procedure based on electricity consumption big data, which is characterized in that including：
S1, User Profile information detailed data and electricity statistical data detailed data are obtained；
S2, User Profile information detailed data and electricity statistical data detailed data executed according to each user it is operation associated,
Obtain the corresponding User Profile information of each user and electricity consumption information；
S3, according to the corresponding User Profile information of each user and electricity consumption information by year electricity consumption in default year electricity consumption threshold value
User below is determined as hollow user；
Hollow user in S4, counting statistics region accounts for the percentage of total user in the statistical regions, judges that the percentage is
It is no to be more than predetermined threshold value, if so, determining that the statistical regions are rural area village hollowing.
2. a kind of rural area village hollowing appraisal procedure based on electricity consumption big data according to claim 1, which is characterized in that institute
Step S2 is stated to specifically include：
S201, according to User Profile information corresponding with the family number is read number from User Profile information detailed data in every family,
According to electricity consumption information corresponding with the family number is read number from electricity statistical data detailed data in every family；
S202, it is associated with the corresponding User Profile information in the family number and electricity consumption information, forms the monthly electricity detail list of peasant household.
3. a kind of rural area village hollowing appraisal procedure based on electricity consumption big data according to claim 2, which is characterized in that institute
Step S3 is stated to specifically include：
S301, judge whether it is all judge to finish with a number corresponding user in every family, if so, S4 is thened follow the steps, if it is not, then from agriculture
First is read in the monthly electricity detail list in family or next in every family number and executing step S302；
S302, it is read from the monthly electricity detail list of peasant household and uses number corresponding monthly electricity consumption in every family, according to monthly electricity consumption
A year electricity consumption is calculated, judges whether the corresponding year electricity consumption in the family number is less than default year electricity consumption threshold value, if so, judgement
The corresponding user in the family number is hollow user and returns to step S301, if it is not, then returning to step S301.
4. a kind of rural area village hollowing appraisal procedure based on electricity consumption big data according to claim 2, which is characterized in that institute
Step S4 is stated to specifically include：
The quantity of S401, the family number for obtaining the corresponding all users of statistical regions and the corresponding all users in counting statistics region；
S402, judge that result acquisition statistical regions are corresponding according to the family number of the corresponding all users of statistical regions and hollow user
The quantity of hollow user；
S403, it is united with the quantity of the quantity of the corresponding hollow user of statistical regions divided by the corresponding all users of statistical regions
Hollow user in meter region accounts for the percentage of total user in the statistical regions；
S404, judge whether the percentage is more than predetermined threshold value, if so, determining that the statistical regions are rural area village hollowing.
5. a kind of rural area village hollowing appraisal procedure based on electricity consumption big data according to claim 1, which is characterized in that institute
Further include after stating step S1, before step S2：
Judge whether there are data for blank in User Profile information detailed data and electricity statistical data detailed data, if so,
The corresponding data of the clear data are deleted.
6. a kind of rural area village hollowing appraisal procedure based on electricity consumption big data according to claim 1, which is characterized in that institute
Further include after stating step S1, before step S2：
Judge whether data redundancy occur in User Profile information detailed data and electricity statistical data detailed data, if so,
The corresponding redundant data of data redundancy is deleted.
7. a kind of rural area village hollowing appraisal procedure based on electricity consumption big data according to claim 1, which is characterized in that institute
Further include after stating step S1, before step S2：
Judge whether data formatting error occur in User Profile information detailed data and electricity statistical data detailed data, if
It is then to delete the data of format error and its corresponding data.
8. a kind of rural area village hollowing appraisal procedure based on electricity consumption big data according to claim 1, which is characterized in that institute
Stating User Profile information detailed data includes：Power supply unit, taiwan area number, family number, name in an account book, user's classification.
9. a kind of rural area village hollowing appraisal procedure based on electricity consumption big data according to claim 1, which is characterized in that institute
It includes family number, month electricity consumption, data time to state electricity statistical data detailed data.
10. a kind of rural area village hollowing apparatus for evaluating based on electricity consumption big data, which is characterized in that described device include processor with
And memory：
Said program code is transferred to the processor by the memory for storing program code；
The processor according to instruction execution claim 1-9 any one of them one kind in said program code for being based on
The rural area village hollowing appraisal procedure of electricity consumption big data.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110334912A (en) * | 2019-06-10 | 2019-10-15 | 国网浙江省电力有限公司嘉兴供电公司 | A kind of distributed generation resource networking contact efficiency assessment method |
| CN113222445A (en) * | 2021-05-26 | 2021-08-06 | 国家电网有限公司 | Method and system for calculating rural vibrating power comprehensive index by considering hollowing rate |
| CN113592260A (en) * | 2021-07-15 | 2021-11-02 | 广州市图鉴城市规划勘测设计有限公司 | Village hollowing degree evaluation method |
| CN115081960A (en) * | 2022-08-18 | 2022-09-20 | 北京国电通网络技术有限公司 | Regional hollow rate information generation method and device, electronic equipment and computer medium |
| CN115936922A (en) * | 2022-11-24 | 2023-04-07 | 国网山东省电力公司临沂供电公司 | Village hollow rate accounting method based on electricity consumption data |
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| CN113592260A (en) * | 2021-07-15 | 2021-11-02 | 广州市图鉴城市规划勘测设计有限公司 | Village hollowing degree evaluation method |
| CN113592260B (en) * | 2021-07-15 | 2023-12-08 | 广州市图鉴城市规划勘测设计有限公司 | Village hollowing degree assessment method |
| CN115081960A (en) * | 2022-08-18 | 2022-09-20 | 北京国电通网络技术有限公司 | Regional hollow rate information generation method and device, electronic equipment and computer medium |
| CN115081960B (en) * | 2022-08-18 | 2022-12-02 | 北京国电通网络技术有限公司 | Regional hollow rate information generation method and device, electronic equipment and computer medium |
| CN115936922A (en) * | 2022-11-24 | 2023-04-07 | 国网山东省电力公司临沂供电公司 | Village hollow rate accounting method based on electricity consumption data |
| CN115936922B (en) * | 2022-11-24 | 2023-10-13 | 国网山东省电力公司临沂供电公司 | Village hollow rate accounting method based on electricity consumption data |
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Application publication date: 20181109 |