CN104123477A - Group-oriented leasing analysis method based on life data - Google Patents
Group-oriented leasing analysis method based on life data Download PDFInfo
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- CN104123477A CN104123477A CN201410401820.1A CN201410401820A CN104123477A CN 104123477 A CN104123477 A CN 104123477A CN 201410401820 A CN201410401820 A CN 201410401820A CN 104123477 A CN104123477 A CN 104123477A
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- 238000004458 analytical method Methods 0.000 title claims abstract description 22
- 230000002159 abnormal effect Effects 0.000 claims abstract description 20
- 239000003034 coal gas Substances 0.000 claims abstract description 7
- 235000020679 tap water Nutrition 0.000 claims abstract description 7
- 239000008399 tap water Substances 0.000 claims abstract description 7
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- OKTJSMMVPCPJKN-UHFFFAOYSA-N carbon Chemical compound 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Abstract
The invention discloses a group-oriented leasing analysis method based on life data. The group-oriented leasing analysis method based on life data includes the steps of data acquisition, data model establishment and statistic analysis. A data model comprising various life data dimensionalities is established, and the dimensionalities include the province, the city, the district, the community, the using types such as tap water, electricity and coal gas, and the using time such as the year and the month; the life data of community units are acquired periodically; historical statistics and analysis are performed on the life data generated by using water, electricity and coal in the community units, the community and the city through the data model and a statistic tool; statistic indexes of all the dimensionalities of the current month and historical data are acquired and include the average value, the expectation value, the variance, the distribution intervals and the like; an early warning is given about the community units with abnormal data or the community units distributed in the abnormal intervals, and the possibility of group-oriented leasing is prompted. The life data are analyzed through data modeling and the statistic tool, and the group-oriented leasing early warning analysis method easy and fast to use is provided.
Description
Technical field
the present invention relates to statistics and computer software technical field, more particularly, relate to a kind of group rental analytical approach based on life data.
Background technology
Along with social development, big city population is more and more, and group rental becomes the ubiquitous phenomenon in big city, due to the environment in group rental room and lessee's economic capability, cause group rental room environment poor, have various potential safety hazards, periphery resident family has been produced to larger impact simultaneously.
Therefore, government often clears up various group rentals, to stop the generation of various security incidents, huge due to city, population numerous, are difficult in management be in time, although paid huge work, the annual security incident that still generation much causes due to group rental.
Government is at present by the mode of various decrees, the generation of restriction group rental, but ineffective due to monitoring means, mainly by the investigation of street or property, the masses' report, efficiency is poor, in the situation that there is not thing, cannot or be difficult to enters the room checks on the spot, also cannot obtain in time the information of group rental, is difficult to effectively monitor and prevent the generation of group rental.
How to utilize the development of the present computer technology, group rental is carried out to the monitoring of robotization, raise the management level and become our problem with efficiency.
And a feature of group rental is, residential density is larger, this will cause the necessary data of living, in same area, under the background of the level of consumption in city, as tap water, electric power, the consumption of coal gas other normal unit of living of comparing are more, in statistics, just can be found out by analyzing, the data of the means of livelihood that each cell unit is used belong to the variable of discrete type in statistics, by statistical mathematics instrument, model and various statistical indicator that specified data distributes, comprise expectation value, the statistical indicators such as variance, gather the consumption data of the means of livelihood of each household, and according to model, carry out the automatic analysis of each dimension and granularity, find out consumption data fluctuation compare great community or corridor, or be distributed in the object outside given fiducial interval, exception object is carried out to selective analysis and early warning, as variance has reflected that data fluctuations is larger, to these communities or corridor, just can carry out selective analysis, point out the high likelihood of group rental with expectation value or the higher words of lateral comparison index, words on the low side may be just vacant room, and targetedly these anomaly units are carried out to emphasis inspection, with this, improved the efficiency of management to group rental.
In conjunction with expectation value, the statistical tools such as variance, just can get rid of community class, the impact of the difference of the level of consumption difference that region, community difference causes or the fluctuation of the data that seasonal variations is brought, as higher in the level of consumption of high-grade community, as the electricity consumption in summer because the unlatching of air-conditioning can become more, threshold value now, just can not be simply with the threshold value of class compare Di community or be set as the same with other season, and pass through expectation value, the statistical tool such as variance and statistical distribution, the sample data of collection just can exclude the interference of these differences.
In view of this, the object of the invention is to propose a kind of simple, by data analysis and process technology a kind of based on life data group rental analytical approach.
Summary of the invention
Group rental feature is concluded and is summed up, gather life data and carry out data modeling and statistical study, automatically extract the object that group rental possibility is higher, comprise following steps:
1) system is carried out data modeling to community life data;
2) system acquisition comprises water power coal in interior life data and imports to system;
3) setting data statistical and analytical tool and statistical indicator and threshold value of warning;
4) life data are carried out to statistics and analysis, obtain the index of the statistics of each dimension;
5) statistical indicator or the abnormal cell unit of distributed area are carried out to early warning.
Further, provided a kind of group rental analytical approach based on life data is provided and for a kind of, is prevented that the development of the management of group rental from providing powerful guarantee, meet the requirement of user each side, promote user friendly experience.
For achieving the above object, one aspect of the present invention provides a kind of group rental analytical approach based on life data, and the method comprises:
By analyzing charge information and the feature of the means of livelihood, to set up and comprise the time, position, comprises cell unit, community, city and consumption type, each dimension of the amount of consumption is at interior data model.
By the data acquisition interface of the charge information system with life data, comprise tap water, electric power, coal gas is interior, take cell unit as least unit, press the usage data that metering period gathers cell unit, comprise the time, address, family number, cell unit number and of that month use amount and charge information, according to set up data model, the data of obtaining are passed through to clean, conversion, imports to system database.
According to data dimension and analysis granularity, comprise the time, province, city, district, community, cell unit, select statistical study index and the data distribution model of each dimension and granularity, the arithmetic mean that at least comprises collection period and history cycle, weighted mean value, maximal value, minimum value, expectation value, what variance and other required statistical indicators and these discrete datas were obeyed comprises normal distribution at interior data distribution model, and sets the threshold value of warning of statistical indicator.
By established data model and statistical indicator to each dimension level and granularity, comprise time and position, consumption type, the life data that gather are carried out to historical analysis, obtain different grain size, the statistics that comprises province monthly, that season is even annual, city, district, community, each dimension of cell unit.
In an embodiment of a kind of group rental analytical approach based on life data provided by the invention, the method also comprises:
Obtain after the statistics of each index, by horizontal and vertical comparing calculation, comprise each dimension on year-on-year basis, chain rate, analyze the value of statistical indicant of each dimension and granularity and the distributed area at place, the abnormal object of the threshold value of corresponding index and the desired value of objects of statistics interval of living in that statistical indicator is exceeded to setting carries out early warning, and the possibility of prompting group rental, points out vacant possibility for the data that statistical indicator is on the low side.
By concluding and sum up group rental or vacant feature, can know that vacant feature is exactly that the use amount of the means of livelihood is less or be zero, the feature of group rental is exactly the life data of using, under laterally or longitudinally contrasting, statistical indicator is bound to exceed normal operating range and must be distributed in the interval outside setting threshold, system is by statistics and the observation continuously of one or more cycles, filter out the unit that statistical indicator departs from the cell unit of threshold value and interval distributed area outside setting threshold at index place, can assert that these unit are abnormal cell unit, think its group rental or vacant, these cell unit data are automatically extracted and gathered, reporting system supvr, supvr can manage targetedly to these cell unit subsequently.
Have the following advantages specifically:
Automatic analysis and early warning:
By statistical mathematical tool, specified data distributed model and statistical indicator, carry out statistical study and the processing of robotization to the data that gather, carry out automatic Macro or mass analysis, obtains the cell unit of the abnormal consumption means of livelihood and carry out the early warning of robotization.
Improve the efficiency of management:
By system Automatic sieve, select the group rental unit of high probability, supvr is without the inspection of visiting, by system automatic decision, can know in time the cell unit information of high probability group rental, avoid manual type to obtain report information or judgement afterwards, greatly improve the efficiency of management.
Description of the invention provides for the purpose of example and explanation, and is not exhaustively or limit the invention to disclosed form.Many modifications and variations are obvious for the ordinary skill in the art.Selecting and describing embodiment is for better explanation principle of the present invention and practical application, thereby and makes those of ordinary skill in the art can understand the various embodiment with various modifications that the present invention's design is suitable for special-purpose.
Accompanying drawing explanation
Accompanying drawing described herein is used to provide a further understanding of the present invention, forms the application's a part, and schematic description and description of the present invention is used for explaining the present invention, does not form inappropriate limitation of the present invention, in the accompanying drawings:
Fig. 1 is the schematic diagram of system module structure of the present invention.
Fig. 2 is operation flow schematic diagram of the present invention.
Embodiment
With reference to the accompanying drawings the present invention is described more fully, exemplary embodiment of the present invention is wherein described.
For achieving the above object, a kind of group rental analytical approach based on life data has been proposed.
Below in conjunction with the drawings, embodiments of the present invention are described
The key point that realizes a kind of group rental analytical approach based on life data is as follows:
Data acquisition and importing:
By docking each Fare Collection System platform, by data access interface, periodically obtain the charge raw data of life information charge platform, comprise the time, economize city, district, community, unit, and of that month means of livelihood consumption information, by these raw data acquisitions to system platform, and in system platform according to the required field of data model, these data are extracted, clean and transform, import in the database of system.
Data model:
The a set of data model of system made, carries out modeling to the discrete data gathering and import, and comprises conceptual data model, logic data model, Physical data model, with this, data of obtaining is carried out to the abstract of computer mode, wherein:
Conceptual model is mainly used to describe the generalities structure in the world, and the designer that it makes database, in the starting stage of design, breaks away from the concrete technical problems of computer system and data base management system (DBMS), concentrates one's energy to analyze contact between data and data etc.
This is the model that user sees from database for logical model, is the data model that concrete data base management system (DBMS) is supported, as network data model, hierarchical data mode etc.This model should user oriented, and system-oriented is again mainly used in the realization of data base management system (DBMS).
Physical model is the model of computer-oriented physical representation, has described the institutional framework of data on storage medium, and it is not only relevant with concrete database management system, but also relevant with operating system and hardware.Each logic data model has had corresponding Physical data model when realizing.
Statistical study:
The data of the cell unit gathering belong to independently discrete variable in statistics, system is according to the data model of setting up and data counting statistics index and obtain its distributed area, comprise average, expectation value, variance, the data of obeying distribute, according to collecting sample, can adopt normal distribution, the data of obtaining are carried out to the statistics and analysis of each dimension, obtain the statistical information of each dimension, for example, obtain year longitudinally, season, monthly, horizontal city, district, community, the arithmetic mean of the various dimensions of cell unit, weighted mean value, expectation value, variance, the data such as fiducial interval, and find out and exceed statistical indicator threshold value or the cell unit outside fiducial interval, and the cell unit in abnormality is carried out early warning to these, indicate the possibility of its high probability group rental.
For example: the variance of calculation plot or corridor, find out corridor or community that distribution fluctuates is larger, and emphasis monitoring is carried out in these communities, calculate the mean value of this month of community, place, carry out comparing this month or continuous many months with the data in cell unit this month, exceed certain proportion, as exceed 50% ratio, can think abnormal;
Or in the situation of setting data Normal Distribution, i.e. X ~ N (μ, σ
2) time, set 95% confidence alpha, calculate the mathematical expectation μ and the standard deviation sigma that gather cell unit data, can calculate the fiducial interval of this degree of confidence, to the data outside fiducial interval, can think abnormal.
By judge under multiple condition abnormal may or the calculating in continuous a plurality of cycles data exception or in the situation between exceptions area still, can repeatedly assert abnormal cell unit the object using it as early warning.
Main function of system module is as shown in Figure 1:
System comprises three ingredients, is respectively life information charge platform, transmission network and system platform, and wherein, life information charge platform partly comprises as lower module:
Tap water Fare Collection System 100:
The tap water Fare Collection System in city, concentrates and has preserved tap water charge data, comprises charge address, family number, the information such as water consumption and expense.
The coal gas charges system module 101:
The coal gas charges system in city, concentrates and has preserved coal gas, rock gas charge data, comprises charge address, family number, the information such as gas consumption and expense.。
Electrically charge system module 102:
The electrically charge system in city, concentrates and has preserved electrically charge data, comprises charge address, family number, the information such as power consumption and expense.
Transmission network part:
Data transmission channel 104:
Between Fare Collection System and system platform, carrying out the data channel of data transmission, can be fixed broadband net or mobile broadband network.
System platform part:
Data acquisition interface 105:
Data access and the acquisition interface of system and life Fare Collection System, obtain the charge raw information of each charge platform by data acquisition interface.
Business logic modules 106:
The service logic of system and control module, each functional module of control system platform, calls and carries out according to service logic.
Database 107:
The database function module of system end, save data and the various functions based on database are provided.
Data acquisition module 108:
Be responsible for gathering the data of Fare Collection System, by data acquisition interface, obtain pay imformation.
Data processing module 109:
The data that data processing module is responsible for gathering are processed, and convert the data layout that system data model is accepted to.
Management configuration module 110:
System management and configuration module, and system is carried out to various management and parameter setting.
Data analysis module 111:
Data analysis module is responsible for the data of system to analyze according to data model and statistical analysis algorithms, obtains and exceeds the interval cell unit of normal use.
Data early warning module 112:
The analysis conclusion that data early warning module draws according to data analysis module, carries out early warning notice to abnormal cell unit wherein.
Give one example to illustrate that user of the present invention uses a kind of business procedure of the group rental analytical approach based on life data below, in this embodiment, as shown in Figure 2, operation flow comprises the following steps:
Step 201: system cycle is from life pay imformation system acquisition data;
Step 202: system imports to system database after data being processed according to the structure of data model and target database;
Step 203: system, according to data model and statistical study index, is calculated and analyzed the data of preserving, and obtains the statistical study index of each default dimension;
Step 204: system is found abnormal cell unit object according to the logic of monitoring, analysis result is judged whether to meet early-warning conditions, for example cell unit object exceeds the threshold value of early warning setting or will carry out early warning notice in abnormal distributed area, otherwise return to step 201, continue the analysis process of next cycle.
Claims (7)
1. the group rental analytical approach based on life data, is characterized in that, group rental feature is concluded and summed up, and gathers life data and carries out data modeling and statistical study, automatically extracts the object that group rental possibility is higher, comprises following steps:
1) system is carried out data modeling to community life data;
2) system acquisition comprises water power coal in interior life data and imports to system;
3) setting data statistical and analytical tool and statistical indicator and threshold value of warning;
4) life data are carried out to statistics and analysis, obtain the index of the statistics of each dimension;
5) statistical indicator or the abnormal cell unit of distributed area are carried out to early warning.
As claimed in claim 1 a kind of based on life data group rental analytical approach, system is carried out data modeling to community life data, it is characterized in that, by analyzing charge information and the feature of the means of livelihood, set up and comprise time, position, comprise cell unit, community, city and consumption type, each dimension of the amount of consumption is at interior data model.
As claimed in claim 1 a kind of based on life data group rental analytical approach, system acquisition comprises water power coal in interior life data and imports to system, it is characterized in that, by the data acquisition interface of the charge information system with life data, comprise tap water, electric power, coal gas is interior, take cell unit as least unit, press the usage data that metering period gathers cell unit, comprise the time, address, family number, cell unit number and of that month use amount and charge information, according to set up data model, the data of obtaining are passed through to clean, conversion, import to system database.
As claimed in claim 1 a kind of based on life data group rental analytical approach, setting data statistical and analytical tool and statistical indicator and threshold value of warning, it is characterized in that, according to data dimension and analysis granularity, comprise the time, economize, city, district, community, cell unit and data type, select statistical study index and the data distribution model of each dimension and granularity, the arithmetic mean that at least comprises collection period and history cycle, weighted mean value, maximal value, minimum value, expectation value, what variance and other required statistical indicators and these discrete datas were obeyed comprises normal distribution at interior data distribution model, and set the threshold value of warning of statistical indicator.
As claimed in claim 1 a kind of based on life data group rental analytical approach, life data are carried out to statistics and analysis, obtain the index of statistics, it is characterized in that, by established data model and statistical indicator, to each dimension level and granularity, comprise time and position, consumption type, the life data that gather are carried out to historical analysis, obtain different grain size, the statistics that comprises province monthly, that season is even annual, city, district, community, each dimension of cell unit.
As claimed in claim 1 a kind of based on life data group rental analytical approach, statistical indicator or the abnormal cell unit of distributed area are carried out to early warning, it is characterized in that, obtain after the statistics of each index, by horizontal and vertical comparing calculation, comprise each dimension on year-on-year basis, chain rate, analyze the value of statistical indicant of each dimension and granularity and the distributed area at place, according to statistical indicator, carry out the screening of abnormal cell unit, the abnormal object of the threshold value of corresponding index and the desired value of objects of statistics interval of living in that statistical indicator is exceeded to setting carries out early warning, the possibility of prompting group rental, for the data that statistical indicator is on the low side, point out vacant possibility.
7. as claimed in claim 6 statistical indicator or the abnormal cell unit of distributed area are carried out to early warning, according to statistical indicator, carry out the screening of abnormal cell unit, it is characterized in that, by concluding and sum up group rental or vacant feature, can know that vacant feature is exactly that the use amount of the means of livelihood is less or be zero, the feature of group rental is exactly the life data of using, under laterally or longitudinally contrasting, statistical indicator is bound to exceed normal operating range and must be distributed in the interval outside setting threshold, system is by statistics and the observation continuously of one or more cycles, filter out the unit that statistical indicator departs from the cell unit of threshold value and interval distributed area outside setting threshold at index place, can assert that these unit are abnormal cell unit, think its group rental or vacant, these cell unit data are automatically extracted and gathered, reporting system supvr, supvr can manage targetedly to these cell unit subsequently.
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