CN107977669A - It is a kind of based on panorama as weak tendency family monitoring method, the system of association analysis - Google Patents

It is a kind of based on panorama as weak tendency family monitoring method, the system of association analysis Download PDF

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CN107977669A
CN107977669A CN201710933766.9A CN201710933766A CN107977669A CN 107977669 A CN107977669 A CN 107977669A CN 201710933766 A CN201710933766 A CN 201710933766A CN 107977669 A CN107977669 A CN 107977669A
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童号
孙亭
李毅
叶云
丁杰
沈自然
沈昌力
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CETC 28 Research Institute
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Abstract

The invention discloses it is a kind of based on panorama as the weak tendency family monitoring method of association analysis, including:Social information's data are extracted, establish weak tendency separated household monitoring model, calculate weak tendency separated household Monitoring Index;According to the weighted index of the weak tendency separated household monitoring model of setting, weak tendency family portrait model is generated, calculates the synthesis weak tendency index of the weak tendency family;According to the synthesis weak tendency index ranking of weak tendency family, screening needs the weak tendency family of helping.The present invention can quickly, accurately and accurately filter out city weak tendency family, the object of helping needed for fast positioning, the main reason of this area weak tendency family, distribution, quantity and present situation are controlled at the same time, suggestion push is provided for poverty alleviation mechanism of government, accurate helping is provided on demand to each weak tendency family.

Description

It is a kind of based on panorama as weak tendency family monitoring method, the system of association analysis
Technical field
The present invention relates to weak tendency family monitor field, particularly it is a kind of based on panorama as association analysis weak tendency family supervise Survey method, system.
Background technology
The daily people's livelihood service in, how fast and efficiently to position city weak tendency family, to the city weak tendency family origin cause of formation, It is always a difficult problem for perplexing government department that distribution, quantity and present situation, which control comprehensively,.In general, office of poverty alleviation of government policymaker For member when screening city weak tendency family, basis for estimation is relatively simple, by house occupancy information, family income situation, journey of receiving an education The relevant informations such as degree, kinsfolk's number differentiate the family or personal whether belong to weak tendency family.However, pass through these merely External performance, and differentiate weak tendency family by the subjective judgement and experience of policymaker, this can largely screen puppet Weak tendency family, it is impossible to which real helping needs the weak tendency family of helping to those.
Traditional weak tendency family identification method is policymaker according to family income situation, homes occupancy, family into Member's situation etc. of receiving an education differentiates weak tendency family.This mode can identify weak tendency family to a certain extent, still, by manpower The mode of experience, when screening, easily miss the weak tendency family for more needing helping, meanwhile, policymaker's experience of office of poverty alleviation also can't help phase Together, the standard of judgement differs, and causes the weak tendency family of the rich or poor difference degree of screening also to can't help identical.
But traditional by the way of residents' committee in community etc. reports layer by layer, Ti Bao weak tendencies family, what this method filtered out Weak population standard differs, and also easily missing those more needs the weak tendency family of helping, and screening mode is not accurate enough.Pass at the same time The mode of system screens the speed of weak population slowly, it is necessary to send a large amount of manpower surveys to collect evidence, and expends financial resource and material resource and manpower etc..
The content of the invention
The present invention disclose it is a kind of based on panorama as the weak tendency family monitoring method of association analysis, to solve weak tendency family people The problem of work is screened, including:
Social information's data are extracted, establish weak tendency separated household monitoring model, calculate weak tendency separated household Monitoring Index;
According to the weighted index of the weak tendency separated household monitoring model of setting, generation weak tendency family portrait model, meter Calculate the synthesis weak tendency index of the weak tendency family;
According to the synthesis weak tendency index ranking of weak tendency family, screening needs the weak tendency family of helping.
Further, the weak tendency separated household monitoring model includes:Weak tendency family orphans and widows's exponential model, weak tendency family suffer from Sick exponential model, weak tendency family deformity exponential model, weak tendency family index of aging model, the poor and weak index mould of weak tendency household wealth Type.
Further, weak tendency family orphans and widows's exponential model of establishing includes:From Department of Civil Affairs, public security bureau's extraction family population Information is formed, according to family population age and member's structural relation, establishes weak tendency family orphans and widows's exponential model:
Wherein, W1Represent weak tendency family orphans and widows's index, gather the sum of lonely factor of all kinsfolks, AiRepresent single The lonely factor of kinsfolk, n represent kinsfolk's number in single family, a1Represent that orphan is about when the age is less than 15 years old The fixed lonely factor, a2Represent the few factor of the kinsfolk of divorced or the death of one's spouse.
Further, the weak tendency family illness exponential model of establishing includes:From defend planning commission extract weak tendency family of family into Member's disease condition, the major disease issued according to health ministry divide category, establish weak tendency family illness exponential model:
Wherein, W2Represent weak tendency family illness index, be the sum of diseased index of all kinsfolks, n represents single family Kinsfolk's number in the family of front yard, BiRepresent the diseased index of single kinsfolk, b1Represent to announce in health ministry especially big Disease category M1(i) the diseased index under, b2Represent the major disease category M announced in health ministry2(i) illness under refers to Number, b3Represent the chronic disease category M announced in health ministry3(i) the diseased index under.
Further, the weak tendency family deformity exponential model of establishing includes:Extraction is residual by the kinsfolk of Association for the Handicapped's identification Disease grade proves, according to the disabled level condition of kinsfolk, establishes the weak tendency family deformity exponential model:
Wherein, W3Represent weak tendency family deformity index, be the sum of disabled index of all kinsfolks, CiRepresent single family The disabled index of front yard member, n represent kinsfolk's number in single family, c1Represent the level-one N delimited in the national Association for the Handicapped1 (i) maimed index, c2Represent the two level N delimited in the national Association for the Handicapped2(i) maimed index, c3Represent the three-level delimited in the national Association for the Handicapped N3(i) maimed index.
Further, the weak tendency family index of aging computation model of establishing includes:From public security bureau and extraction man of social security office Front yard member proportion of aged population and astogeny level data, establish the weak tendency family index of aging model:
Wherein, W4Represent weak tendency family index of aging, be the sum of index of aging of all kinsfolks, n represents single family Kinsfolk's number in the family of front yard, DiRepresent the index of aging of single kinsfolk, x represents household member age.
Further, the poor and weak exponential model of weak tendency household wealth of establishing includes:From housing bureau, social security office, the tax bureau Kinsfolk's income from work, house property information are extracted, establishes the poor and weak exponential model of weak tendency household wealth:
Wherein, PlRepresent the homes market price, SlRepresent homes area, PvRepresent the family place where his residence is registered The house average price in area, SvRepresent the per capital living areas of this area, xiRepresent the income of kinsfolk, xvRepresent homeplace The energy consumption per person in area, W represent the comprehensive wealth index of the family, W5Represent the poor and weak index of weak tendency household wealth, n represents single Kinsfolk's number in family.
Further, the weak tendency family portrait model is specially:Eθ=α W1+βW2+λW3+γW4+μW5
Wherein, EθRepresent weak tendency family comprehensive weak tendency index, W1Represent weak tendency family orphans and widows's index, α represents that weak tendency family is lonely Few index weight, W2Represent weak tendency family illness index, β represents weak tendency family illness index weight, W3Represent that weak tendency family is disabled Index, λ represent weak tendency family deformity index weight, W4Represent weak tendency family index of aging, γ represents weak tendency family index of aging Weight, W5Represent the poor and weak index of weak tendency household wealth, μ represents the poor and weak weight of weak tendency household wealth.
Further, after the screening needs the weak tendency family of helping, further include and sent to office of poverty alleviation of government staff Pushed information.
Further, it is described screen need the weak tendency family of helping after, in addition to shown on map filter out it is weak The geographical location in influential family front yard.
Further, after the screening needs the weak tendency family of helping, further include according to weak tendency separated household Monitoring Index, Formation zone weak tendency separated household distribution ranking.
It is a kind of based on panorama as the weak tendency Household monitoring system of association analysis, including:
Monitoring model creation module, extraction social information data, establishes weak tendency separated household monitoring model;
Weak tendency family comprehensive weak tendency index computing module, weighted index is distributed for the weak tendency separated household monitoring model, Weak tendency family portrait model is formed, obtains the weak tendency value of the weak tendency family;
Weak tendency family screening module, according to weak tendency separated household Monitoring Index, screening areas weak tendency separated household ranking, root According to the synthesis weak tendency index ranking of weak tendency family, screening needs the weak tendency family of helping.
Further, after weak tendency family screening module, info push module is further included, for by the weak tendency family The weak tendency family information for needing helping of screening module output is pushed to office of poverty alleviation of government staff.
Further, after weak tendency family screening module, information display module is further included, for being shown on map The geographical location of the weak tendency family filtered out.
The effect of the present invention is can quickly, accurately and accurately to filter out city weak tendency family, helping needed for fast positioning Object, while the main reason to this area weak tendency family, distribution, quantity and present situation are controlled, and are poverty alleviation mechanism of government There is provided and suggest push, accurate helping is provided on demand to each weak tendency family.
Brief description of the drawings
To describe the technical solutions in the embodiments of the present invention more clearly, below will be to embodiment or description of the prior art Needed in attached drawing be briefly described, it should be apparent that, drawings in the following description be only the present invention some Embodiment, for those of ordinary skill in the art, without having to pay creative labor, can also be according to these Attached drawing obtains other attached drawings.
Fig. 1 be the embodiment of the present invention one provide it is a kind of based on panorama as the weak tendency family monitoring method of association analysis Flow chart;
Fig. 2 be it is provided by Embodiment 2 of the present invention it is a kind of based on panorama as the weak tendency family monitoring method of association analysis Flow chart;
Fig. 3 be the embodiment of the present invention three provide it is a kind of based on panorama as the weak tendency family monitoring method of association analysis Flow chart;
Fig. 4 be the embodiment of the present invention four provide it is a kind of based on panorama as the weak tendency family monitoring method of association analysis Flow chart;
Fig. 5 be the embodiment of the present invention five provide it is a kind of based on panorama as the weak tendency family monitoring method of association analysis Flow chart;
Fig. 6 be the embodiment of the present invention six provide it is a kind of based on panorama as the weak tendency family monitoring method of association analysis Flow chart.
Embodiment
Below by drawings and examples, technical scheme is described in further detail.
Embodiment one
With reference to Fig. 1, Fig. 1 shows the embodiment flow chart of the method for the present invention.
The present invention provides it is a kind of based on panorama as the weak tendency family monitoring method of association analysis, including:
Social information's data are extracted, establish weak tendency separated household monitoring model, calculate weak tendency separated household Monitoring Index;
According to weak tendency separated household Monitoring Index ranking, corresponding weak tendency separated household monitoring family information in screening areas.
Further, the weak tendency separated household monitoring model includes:Weak tendency family orphans and widows's exponential model, weak tendency family suffer from Sick exponential model, weak tendency family deformity exponential model, weak tendency family index of aging model, the poor and weak index mould of weak tendency household wealth Type.
Further, weak tendency family orphans and widows's exponential model of establishing includes:From Department of Civil Affairs, public security bureau's extraction family population Information is formed, according to family population age and member's structural relation, establishes weak tendency family orphans and widows's exponential model:
Wherein, W1Represent weak tendency family orphans and widows's index, gather the sum of lonely factor of all kinsfolks, AiRepresent single The lonely factor of kinsfolk, n represent kinsfolk's number in single family, a1Represent that orphan is about when the age is less than 15 years old The fixed lonely factor, a2Represent the few factor of the kinsfolk of divorced or the death of one's spouse.
Assuming that a family kinsfolk only includes grandmother and grandson, the age of each member, member's structure letter are traveled through in family Breath, since the age of grandson in family is less than 15 years old and one's parents are both dead, then the lonely factor value of the kinsfolk is a1, due to Grandmother's the death of one's spouse or divorced in family, then the few factor value of the kinsfolk is a2, lonely factor a1, few factor a2By government's poverty alleviation Department is unified to be set, weak tendency family orphans and widows's index W of the family1=a1+a2
Family population out of Department of Civil Affairs, public security bureau's extraction selected areas forms information, calculates the region Nei Jia respectively Front yard orphans and widows's index, sorts each family orphans and widows index, according to the home address of extraction, shows that lonely index ranking is leaned on map Preceding home geographic location.The lonely index of extraction weak tendency family information in the top, the weak tendency is pushed to office of poverty alleviation of government Family information.
Embodiment two
With reference to Fig. 2, Fig. 2 shows the embodiment flow chart of the method for the present invention.
The present invention provides it is a kind of based on panorama as the weak tendency family monitoring method of association analysis, including:
Social information's data are extracted, establish weak tendency separated household monitoring model, calculate weak tendency separated household Monitoring Index;
According to weak tendency separated household Monitoring Index ranking, corresponding weak tendency separated household monitoring family information in screening areas.
Further, the weak tendency separated household monitoring model includes:Weak tendency family orphans and widows's exponential model, weak tendency family suffer from Sick exponential model, weak tendency family deformity exponential model, weak tendency family index of aging model, the poor and weak index mould of weak tendency household wealth Type.
Further, the weak tendency family illness exponential model of establishing includes:From defend planning commission extract weak tendency family of family into Member's disease condition, the major disease issued according to health ministry divide category, establish weak tendency family illness exponential model:
Wherein, W2Represent weak tendency family illness index, be the sum of diseased index of all kinsfolks, n represents single family Kinsfolk's number in the family of front yard, BiRepresent the diseased index of single kinsfolk, b1Represent to announce in health ministry especially big Disease category M1(i) the diseased index under, b2Represent the major disease category M announced in health ministry2(i) illness under refers to Number, b3Represent the chronic disease category M announced in health ministry3(i) the diseased index under.
Come into effect from 3 days April in 2007《The disease of major disease insurance defines operating specification》Middle regulation:Insurance is public Department names product for great sickness insurance, and period insured is mainly adult (18 is more than one full year of life) stage, the product The diseases range of guarantee should take including the malignant tumour in this specification, acute myocardial infarction, cerebral apoplexy sequela, coronary artery Bridge art (or Coronary Artery Bypass Grafting), great transplant operation or transplantation of hematopoietic stem cell, end-stage renal disease (or Chronic renal failure Uremic);In addition to this six kinds of diseases, for the Other diseases species within this specification diseases range, Insurance company can select to use;Meanwhile above-mentioned disease should use the disease name of this specification and disease to define.
Each member corresponds in kinsfolk《The disease of major disease insurance defines operating specification》Defined in great disease Sick type, matches corresponding diseased index b, sums to the diseased index of all members of family, obtain weak tendency family illness index W2
Sort to each family's illness index, according to the home address of extraction, show that diseased index is in the top on map Home geographic location.The diseased index of extraction weak tendency family information in the top, the weak tendency man is pushed to office of poverty alleviation of government Front yard information.
Embodiment three
With reference to Fig. 3, Fig. 3 shows the embodiment flow chart of the method for the present invention.
The present invention provides it is a kind of based on panorama as the weak tendency family monitoring method of association analysis, including:
Social information's data are extracted, establish weak tendency separated household monitoring model, calculate weak tendency separated household Monitoring Index;
According to weak tendency separated household Monitoring Index ranking, corresponding weak tendency separated household monitoring family information in screening areas.
Further, the weak tendency separated household monitoring model includes:Weak tendency family orphans and widows's exponential model, weak tendency family suffer from Sick exponential model, weak tendency family deformity exponential model, weak tendency family index of aging model, the poor and weak index mould of weak tendency household wealth Type.
Further, the weak tendency family deformity exponential model of establishing includes:Extraction is residual by the kinsfolk of Association for the Handicapped's identification Disease grade proves, according to the disabled level condition of kinsfolk, establishes the weak tendency family deformity exponential model:
Wherein, W3Represent weak tendency family deformity index, be the sum of disabled index of all kinsfolks, CiRepresent single family The disabled index of front yard member, n represent kinsfolk's number in single family, c1Represent the level-one N delimited in the national Association for the Handicapped1 (i) maimed index, c2Represent the two level N delimited in the national Association for the Handicapped2(i) maimed index, c3Represent the three-level delimited in the national Association for the Handicapped N3(i) maimed index.
In kinsfolk each member according to Association for the Handicapped according to《Disabled person's practicality evaluation criteria》The deformity of evaluation People's deformity grade, matches corresponding kinsfolk's deformity index c, sums to the disabled index of all members of family, obtains weak tendency Family's deformity index W3
Sort to each family's deformity index, according to the home address of extraction, show that disabled index is in the top on map Home geographic location.The disabled index of extraction weak tendency family information in the top, the weak tendency man is pushed to office of poverty alleviation of government Front yard information.
Example IV
With reference to Fig. 4, Fig. 4 shows the embodiment flow chart of the method for the present invention.
The present invention provides it is a kind of based on panorama as the weak tendency family monitoring method of association analysis, including:
Social information's data are extracted, establish weak tendency separated household monitoring model, calculate weak tendency separated household Monitoring Index;
According to weak tendency separated household Monitoring Index ranking, corresponding weak tendency separated household monitoring family information in screening areas.
Further, the weak tendency separated household monitoring model includes:Weak tendency family orphans and widows's exponential model, weak tendency family suffer from Sick exponential model, weak tendency family deformity exponential model, weak tendency family index of aging model, the poor and weak index mould of weak tendency household wealth Type.
Further, the weak tendency family index of aging computation model of establishing includes:From public security bureau and extraction man of social security office Front yard member proportion of aged population and astogeny level data, establish the weak tendency family index of aging model:
Wherein, W4Represent weak tendency family index of aging, be the sum of index of aging of all kinsfolks, n represents single family Kinsfolk's number in the family of front yard, DiRepresent the index of aging of single kinsfolk, x represents household member age.
Household member age's information is traveled through, was more than or equal to for 65 one full year of life when the age of kinsfolk, then being calculated according to formula should The index of aging D of kinsfolk, if the age of kinsfolk was less than for 65 one full year of life, the index of aging of the member is 0, to institute of family The index of aging for having member is summed, and obtains weak tendency family index of aging W4
Sort to each family's index of aging, according to the home address of extraction, show that index of aging is in the top on map Home geographic location.Index of aging weak tendency family information in the top is extracted, the weak tendency man is pushed to office of poverty alleviation of government Front yard information.
Embodiment five
With reference to Fig. 5, Fig. 5 shows the embodiment flow chart of the method for the present invention.
The present invention provides it is a kind of based on panorama as the weak tendency family monitoring method of association analysis, including:
Social information's data are extracted, establish weak tendency separated household monitoring model, calculate weak tendency separated household Monitoring Index;
According to weak tendency separated household Monitoring Index ranking, corresponding weak tendency separated household monitoring family information in screening areas.
Further, the weak tendency separated household monitoring model includes:Weak tendency family orphans and widows's exponential model, weak tendency family suffer from Sick exponential model, weak tendency family deformity exponential model, weak tendency family index of aging model, the poor and weak index mould of weak tendency household wealth Type.
Further, the poor and weak exponential model of weak tendency household wealth of establishing includes:From housing bureau, social security office, the tax bureau Kinsfolk's income from work, house property information are extracted, establishes the poor and weak exponential model of weak tendency household wealth:
Wherein, PlRepresent the homes market price, SlRepresent homes area, PvRepresent the family place where his residence is registered The house average price in area, SvRepresent the per capital living areas of this area, xiRepresent the income of kinsfolk, xvRepresent homeplace The energy consumption per person in area,Represent the comprehensive wealth index of the family, W5Represent the poor and weak index of weak tendency household wealth, n represents single Kinsfolk's number in a family.
According to the homes market price of extraction, homes area, family's household register location house average price, should The per capital living areas in area, the income of kinsfolk, the energy consumption per person in homeplace area, is calculated family comprehensive wealth Rich index, and then the poor and weak index W of weak tendency household wealth is calculated5
Sort to the poor and weak index of each household wealth, according to the home address of extraction, the poor and weak index of wealth is shown on map Home geographic location in the top.The poor and weak index of wealth weak tendency family information in the top is extracted, is pushed away to office of poverty alleviation of government Send the weak tendency family information.
Embodiment six
Present invention also offers it is a kind of based on panorama as the weak tendency family monitoring method of association analysis, including:
Social information's data are extracted, establish weak tendency separated household monitoring model, calculate weak tendency separated household Monitoring Index;
According to the weighted index of the weak tendency separated household monitoring model of setting, generation weak tendency family portrait model, meter Calculate the synthesis weak tendency index of the weak tendency family;
According to the synthesis weak tendency index ranking of weak tendency family, screening needs the weak tendency family of helping.
Further, the weak tendency separated household monitoring model includes:Weak tendency family orphans and widows's exponential model, weak tendency family suffer from Sick exponential model, weak tendency family deformity exponential model, weak tendency family index of aging model, the poor and weak index mould of weak tendency household wealth Type.
Further, weak tendency family orphans and widows's exponential model of establishing includes:From Department of Civil Affairs, public security bureau's extraction family population Information is formed, according to family population age and member's structural relation, establishes weak tendency family orphans and widows's exponential model:
Wherein, W1Represent weak tendency family orphans and widows's index, gather the sum of lonely factor of all kinsfolks, AiRepresent single The lonely factor of kinsfolk, n represent kinsfolk's number in single family, a1Represent that orphan is about when the age is less than 15 years old The fixed lonely factor, a2Represent the few factor of the kinsfolk of divorced or the death of one's spouse.
Assuming that a family kinsfolk only includes grandmother and grandson, the age of each member, member's structure letter are traveled through in family Breath, since the age of grandson in family is less than 15 years old and one's parents are both dead, then the lonely factor value of the kinsfolk is a1, due to Grandmother's the death of one's spouse or divorced in family, then the few factor value of the kinsfolk is a2, lonely factor a1, few factor a2By government's poverty alleviation Department is unified to be set, weak tendency family orphans and widows's index W of the family1=a1+a2
Further, the weak tendency family illness exponential model of establishing includes:From defend planning commission extract weak tendency family of family into Member's disease condition, the major disease issued according to health ministry divide category, establish weak tendency family illness exponential model:
Wherein, W2Represent weak tendency family illness index, be the sum of diseased index of all kinsfolks, n represents single family Kinsfolk's number in the family of front yard, BiRepresent the diseased index of single kinsfolk, b1Represent to announce in health ministry especially big Disease category M1(i) the diseased index under, b2Represent the major disease category M announced in health ministry2(i) illness under refers to Number, b3Represent the chronic disease category M announced in health ministry3(i) the diseased index under.
Come into effect from 3 days April in 2007《The disease of major disease insurance defines operating specification》Middle regulation:Insurance is public Department names product for great sickness insurance, and period insured is mainly adult (18 is more than one full year of life) stage, the product The diseases range of guarantee should take including the malignant tumour in this specification, acute myocardial infarction, cerebral apoplexy sequela, coronary artery Bridge art (or Coronary Artery Bypass Grafting), great transplant operation or transplantation of hematopoietic stem cell, end-stage renal disease (or Chronic renal failure Uremic);In addition to this six kinds of diseases, for the Other diseases species within this specification diseases range, Insurance company can select to use;Meanwhile above-mentioned disease should use the disease name of this specification and disease to define.
Each member corresponds in kinsfolk《The disease of major disease insurance defines operating specification》Defined in great disease Sick type, matches corresponding diseased index b, sums to the diseased index of all members of family, obtain weak tendency family illness index W2
Further, the weak tendency family deformity exponential model of establishing includes:Extraction is residual by the kinsfolk of Association for the Handicapped's identification Disease grade proves, according to the disabled level condition of kinsfolk, establishes the weak tendency family deformity exponential model:
Wherein, W3Represent weak tendency family deformity index, be the sum of disabled index of all kinsfolks, CiRepresent single family The disabled index of front yard member, n represent kinsfolk's number in single family, c1Represent the level-one N delimited in the national Association for the Handicapped1 (i) maimed index, c2Represent the two level N delimited in the national Association for the Handicapped2(i) maimed index, c3Represent the three-level delimited in the national Association for the Handicapped N3(i) maimed index.
In kinsfolk each member according to Association for the Handicapped according to《Disabled person's practicality evaluation criteria》The deformity of evaluation People's deformity grade, matches corresponding kinsfolk's deformity index c, sums to the disabled index of all members of family, obtains weak tendency Family's deformity index W3
Further, the weak tendency family index of aging computation model of establishing includes:From public security bureau and extraction man of social security office Front yard member proportion of aged population and astogeny level data, establish the weak tendency family index of aging model:
Wherein, W4Represent weak tendency family index of aging, be the sum of index of aging of all kinsfolks, n represents single family Kinsfolk's number in the family of front yard, DiRepresent the index of aging of single kinsfolk, x represents household member age.
Household member age's information is traveled through, was more than or equal to for 65 one full year of life when the age of kinsfolk, then being calculated according to formula should The index of aging D of kinsfolk, if the age of kinsfolk was less than for 65 one full year of life, the index of aging of the member is 0, to institute of family The index of aging for having member is summed, and obtains weak tendency family index of aging W4
Further, the poor and weak exponential model of weak tendency household wealth of establishing includes:From housing bureau, social security office, the tax bureau Kinsfolk's income from work, house property information are extracted, establishes the poor and weak exponential model of weak tendency household wealth:
Wherein, PlRepresent the homes market price, SlRepresent homes area, PvRepresent the family place where his residence is registered The house average price in area, SvRepresent the per capital living areas of this area, xiRepresent the income of kinsfolk, xvRepresent homeplace The energy consumption per person in area,Represent the comprehensive wealth index of the family, W5Represent the poor and weak index of weak tendency household wealth, n represents single Kinsfolk's number in a family.
According to the homes market price of extraction, homes area, family's household register location house average price, should The per capital living areas in area, the income of kinsfolk, the energy consumption per person in homeplace area, is calculated family comprehensive wealth Rich index, and then the poor and weak index W of weak tendency household wealth is calculated5
Further, the weak tendency family portrait model is specially:Eθ=α W1+βW2+λW3+γW4+μW5
Wherein, EθRepresent weak tendency family comprehensive weak tendency index, W1Represent weak tendency family orphans and widows's index, α represents that weak tendency family is lonely Few index weight, W2Represent weak tendency family illness index, β represents weak tendency family illness index weight, W3Represent that weak tendency family is disabled Index, λ represent weak tendency family deformity index weight, W4Represent weak tendency family index of aging, γ represents weak tendency family index of aging Weight, W5Represent the poor and weak index of weak tendency household wealth, μ represents the poor and weak weight of weak tendency household wealth.
According to the weak tendency family comprehensive weak tendency index ranking for the region Nei Ge families being calculated, screening needs helping Weak tendency family, according to the geographical location information of each weak tendency family of extraction, can show weak tendency family position on map, And send pushed information to office of poverty alleviation of government staff.
Present invention additionally comprises it is a kind of based on panorama as the weak tendency Household monitoring system of association analysis, including:
Monitoring model creation module, extraction social information data, establishes weak tendency separated household monitoring model;
Weak tendency family comprehensive weak tendency index computing module, weighted index is distributed for the weak tendency separated household monitoring model, Weak tendency family portrait model is formed, obtains the weak tendency value of the weak tendency family;
Weak tendency family screening module, according to weak tendency separated household Monitoring Index, screening areas weak tendency separated household ranking, root According to the synthesis weak tendency index ranking of weak tendency family, screening needs the weak tendency family of helping.
Further, after weak tendency family screening module, info push module is further included, for by the weak tendency family The weak tendency family information for needing helping of screening module output is pushed to office of poverty alleviation of government staff.
Further, after weak tendency family screening module, information display module is further included, for being shown on map The geographical location of the weak tendency family filtered out.
Above-described embodiment, has carried out the purpose of the present invention, technical solution and beneficial effect further Describe in detail, it should be understood that the foregoing is merely the embodiment of the present invention, be not intended to limit the present invention Protection domain, within the spirit and principles of the invention, any modification, equivalent substitution, improvement and etc. done, should all include Within protection scope of the present invention.

Claims (14)

1. it is a kind of based on panorama as the weak tendency family monitoring method of association analysis, including:
Social information's data are extracted, establish weak tendency separated household monitoring model, calculate weak tendency separated household Monitoring Index;
According to the weighted index of the weak tendency separated household monitoring model of setting, generation weak tendency family portrait model, calculates institute State the synthesis weak tendency index of weak tendency family;
According to the synthesis weak tendency index ranking of weak tendency family, screening needs the weak tendency family of helping.
2. it is according to claim 1 based on panorama as the weak tendency family monitoring method of association analysis, the weak tendency family Classification monitoring model includes:Weak tendency family orphans and widows's exponential model, weak tendency family illness exponential model, weak tendency family deformity index mould Type, weak tendency family index of aging model, the poor and weak exponential model of weak tendency household wealth.
3. it is according to claim 2 based on panorama as the weak tendency family monitoring method of association analysis, it is described to establish weak tendency Family's orphans and widows's exponential model includes:From Department of Civil Affairs, public security bureau extraction family population composition information, according to the family population age and into Member's structural relation, establishes weak tendency family orphans and widows's exponential model:
<mrow> <msub> <mi>W</mi> <mn>1</mn> </msub> <mo>=</mo> <msubsup> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>n</mi> </msubsup> <msub> <mi>A</mi> <mi>i</mi> </msub> </mrow>
<mrow> <msub> <mi>A</mi> <mi>i</mi> </msub> <mo>=</mo> <mfenced open = "{" close = ""> <mtable> <mtr> <mtd> <msub> <mi>a</mi> <mn>1</mn> </msub> </mtd> <mtd> <mtable> <mtr> <mtd> <mrow> <mi>i</mi> <mi>f</mi> </mrow> </mtd> <mtd> <mrow> <mo>(</mo> <mi>a</mi> <mi>g</mi> <mi>e</mi> <mo>&lt;</mo> <mn>15</mn> <mo>&amp;cap;</mo> <mi>p</mi> <mi>a</mi> <mi>r</mi> <mi>e</mi> <mi>n</mi> <mi>t</mi> <mi>s</mi> <mi> </mi> <mi>i</mi> <mi>s</mi> <mi> </mi> <mi>n</mi> <mi>u</mi> <mi>l</mi> <mi>l</mi> <mo>)</mo> </mrow> </mtd> </mtr> </mtable> </mtd> </mtr> <mtr> <mtd> <msub> <mi>a</mi> <mn>2</mn> </msub> </mtd> <mtd> <mtable> <mtr> <mtd> <mrow> <mi>i</mi> <mi>f</mi> </mrow> </mtd> <mtd> <mrow> <mo>(</mo> <mi>o</mi> <mi>b</mi> <mi>j</mi> <mi>e</mi> <mi>c</mi> <mi>t</mi> <mi> </mi> <mi>i</mi> <mi>s</mi> <mi> </mi> <mi>sin</mi> <mi>g</mi> <mi>l</mi> <mi>e</mi> <mo>)</mo> </mrow> </mtd> </mtr> </mtable> </mtd> </mtr> <mtr> <mtd> <mn>0</mn> </mtd> <mtd> <mrow> <mi>e</mi> <mi>l</mi> <mi>s</mi> <mi>e</mi> </mrow> </mtd> </mtr> </mtable> </mfenced> <mo>,</mo> </mrow>
Wherein, W1Represent weak tendency family orphans and widows's index, gather the sum of lonely factor of all kinsfolks, AiRepresent single family The lonely factor of member, n represent kinsfolk's number in single family, a1Represent orphan's agreement when the age is less than 15 years old The lonely factor, a2Represent the few factor of the kinsfolk of divorced or the death of one's spouse.
4. it is according to claim 2 based on panorama as the weak tendency family monitoring method of association analysis, it is described to establish weak tendency Family's illness exponential model includes:From extraction weak tendency family of planning commission kinsfolk's disease condition is defended, issued according to health ministry Major disease division category, establish weak tendency family illness exponential model:
<mrow> <mtable> <mtr> <mtd> <mrow> <msub> <mi>W</mi> <mn>2</mn> </msub> <mo>=</mo> <msubsup> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>n</mi> </msubsup> <msub> <mi>B</mi> <mi>i</mi> </msub> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <msub> <mi>B</mi> <mi>i</mi> </msub> <mo>=</mo> <mfenced open = "{" close = ""> <mtable> <mtr> <mtd> <msub> <mi>b</mi> <mn>1</mn> </msub> </mtd> <mtd> <mrow> <msub> <mi>x</mi> <mi>i</mi> </msub> <mo>&amp;Element;</mo> <mo>&amp;cup;</mo> <msub> <mi>M</mi> <mn>1</mn> </msub> <mrow> <mo>(</mo> <mi>i</mi> <mo>)</mo> </mrow> </mrow> </mtd> </mtr> <mtr> <mtd> <msub> <mi>b</mi> <mn>2</mn> </msub> </mtd> <mtd> <mrow> <msub> <mi>x</mi> <mi>i</mi> </msub> <mo>&amp;Element;</mo> <mo>&amp;cup;</mo> <msub> <mi>M</mi> <mn>2</mn> </msub> <mrow> <mo>(</mo> <mi>i</mi> <mo>)</mo> </mrow> </mrow> </mtd> </mtr> <mtr> <mtd> <msub> <mi>b</mi> <mn>3</mn> </msub> </mtd> <mtd> <mrow> <msub> <mi>x</mi> <mi>i</mi> </msub> <mo>&amp;Element;</mo> <mo>&amp;cup;</mo> <msub> <mi>M</mi> <mn>3</mn> </msub> <mrow> <mo>(</mo> <mi>i</mi> <mo>)</mo> </mrow> </mrow> </mtd> </mtr> </mtable> </mfenced> </mrow> </mtd> </mtr> </mtable> <mo>,</mo> </mrow>
Wherein, W2Represent weak tendency family illness index, be the sum of diseased index of all kinsfolks, n is represented in single family Kinsfolk's number, BiRepresent the diseased index of single kinsfolk, b1Represent the especially big disease model announced in health ministry Farmland M1(i) the diseased index under, b2Represent the major disease category M announced in health ministry2(i) the diseased index under, b3Table Show the chronic disease category M announced in health ministry3(i) the diseased index under.
5. it is according to claim 2 based on panorama as the weak tendency family monitoring method of association analysis, it is described to establish weak tendency Family's deformity exponential model includes:Extract is proved by kinsfolk's deformity grade of Association for the Handicapped's identification, the deformity according to kinsfolk Level condition, establishes the weak tendency family deformity exponential model:
<mrow> <mtable> <mtr> <mtd> <mrow> <msub> <mi>W</mi> <mn>3</mn> </msub> <mo>=</mo> <msubsup> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>n</mi> </msubsup> <msub> <mi>C</mi> <mi>i</mi> </msub> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <msub> <mi>C</mi> <mi>i</mi> </msub> <mo>=</mo> <mfenced open = "{" close = ""> <mtable> <mtr> <mtd> <msub> <mi>c</mi> <mn>1</mn> </msub> </mtd> <mtd> <mrow> <msub> <mi>x</mi> <mi>i</mi> </msub> <mo>&amp;Element;</mo> <mo>&amp;cup;</mo> <msub> <mi>N</mi> <mn>1</mn> </msub> <mrow> <mo>(</mo> <mi>i</mi> <mo>)</mo> </mrow> </mrow> </mtd> </mtr> <mtr> <mtd> <msub> <mi>c</mi> <mn>2</mn> </msub> </mtd> <mtd> <mrow> <msub> <mi>x</mi> <mi>i</mi> </msub> <mo>&amp;Element;</mo> <mo>&amp;cup;</mo> <msub> <mi>N</mi> <mn>2</mn> </msub> <mrow> <mo>(</mo> <mi>i</mi> <mo>)</mo> </mrow> </mrow> </mtd> </mtr> <mtr> <mtd> <msub> <mi>c</mi> <mn>3</mn> </msub> </mtd> <mtd> <mrow> <msub> <mi>x</mi> <mi>i</mi> </msub> <mo>&amp;Element;</mo> <mo>&amp;cup;</mo> <msub> <mi>N</mi> <mn>3</mn> </msub> <mrow> <mo>(</mo> <mi>i</mi> <mo>)</mo> </mrow> </mrow> </mtd> </mtr> <mtr> <mtd> <mn>0</mn> </mtd> <mtd> <mrow> <mi>e</mi> <mi>l</mi> <mi>s</mi> <mi>e</mi> </mrow> </mtd> </mtr> </mtable> </mfenced> </mrow> </mtd> </mtr> </mtable> <mo>,</mo> </mrow>
Wherein, W3Represent weak tendency family deformity index, be the sum of disabled index of all kinsfolks, CiRepresent single family into The disabled index of member, n represent kinsfolk's number in single family, c1Represent the level-one N delimited in the national Association for the Handicapped1(i) it is residual Useless index, c2Represent the two level N delimited in the national Association for the Handicapped2(i) maimed index, c3Represent the three-level N delimited in the national Association for the Handicapped3(i) Maimed index.
6. it is according to claim 2 based on panorama as the weak tendency family monitoring method of association analysis, it is described to establish weak tendency Family's index of aging computation model includes:From public security bureau and social security office extraction kinsfolk proportion of aged population and astogeny degree Data, establish the weak tendency family index of aging model:
<mrow> <mtable> <mtr> <mtd> <mrow> <msub> <mi>W</mi> <mn>4</mn> </msub> <mo>=</mo> <msubsup> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>n</mi> </msubsup> <msub> <mi>D</mi> <mi>i</mi> </msub> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <msub> <mi>D</mi> <mi>i</mi> </msub> <mo>=</mo> <mfenced open = "{" close = ""> <mtable> <mtr> <mtd> <mfrac> <mrow> <msup> <mi>e</mi> <mrow> <mi>x</mi> <mo>-</mo> <mn>65</mn> <mo>/</mo> <mn>35</mn> </mrow> </msup> <mo>-</mo> <mn>1</mn> </mrow> <mrow> <mi>e</mi> <mo>-</mo> <mn>1</mn> </mrow> </mfrac> </mtd> <mtd> <mrow> <mi>x</mi> <mo>&amp;GreaterEqual;</mo> <mn>65</mn> </mrow> </mtd> </mtr> <mtr> <mtd> <mn>0</mn> </mtd> <mtd> <mrow> <mi>e</mi> <mi>l</mi> <mi>s</mi> <mi>e</mi> </mrow> </mtd> </mtr> </mtable> </mfenced> </mrow> </mtd> </mtr> </mtable> <mo>,</mo> </mrow>
Wherein, W4Represent weak tendency family index of aging, be the sum of index of aging of all kinsfolks, n is represented in single family Kinsfolk's number, DiRepresent the index of aging of single kinsfolk, x represents household member age.
7. it is according to claim 2 based on panorama as the weak tendency family monitoring method of association analysis, it is described to establish weak tendency The poor and weak exponential model of household wealth includes:Kinsfolk's income from work, house property information are extracted from housing bureau, social security office, the tax bureau, Establish the poor and weak exponential model of weak tendency household wealth:
<mrow> <mtable> <mtr> <mtd> <mrow> <mover> <mi>W</mi> <mo>&amp;OverBar;</mo> </mover> <mo>=</mo> <mfrac> <mrow> <msub> <mi>P</mi> <mi>l</mi> </msub> <msub> <mi>S</mi> <mi>l</mi> </msub> </mrow> <mrow> <msub> <mi>nP</mi> <mi>v</mi> </msub> <msub> <mi>S</mi> <mi>v</mi> </msub> </mrow> </mfrac> <mo>+</mo> <msubsup> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>n</mi> </msubsup> <mfrac> <mrow> <msup> <mi>e</mi> <mrow> <msub> <mi>x</mi> <mi>i</mi> </msub> <mo>/</mo> <msub> <mi>x</mi> <mi>v</mi> </msub> </mrow> </msup> <mo>-</mo> <mn>1</mn> </mrow> <mrow> <mi>e</mi> <mo>-</mo> <mn>1</mn> </mrow> </mfrac> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <msub> <mi>W</mi> <mn>5</mn> </msub> <mo>=</mo> <mn>1</mn> <mo>/</mo> <mover> <mi>W</mi> <mo>&amp;OverBar;</mo> </mover> </mrow> </mtd> </mtr> </mtable> <mo>,</mo> </mrow>
Wherein, PlRepresent the homes market price, SlRepresent homes area, PvRepresent family's household register location House average price, SvRepresent the per capital living areas of this area, xiRepresent the income of kinsfolk, xvRepresent homeplace area Energy consumption per person,Represent the comprehensive wealth index of the family, W5Represent the poor and weak index of weak tendency household wealth, n represents single family Kinsfolk's number in the family of front yard.
8. it is according to claim 1 based on panorama as the weak tendency family monitoring method of association analysis, the weak tendency family Portrait model be specially:Eθ=α W1+βW2+λW3+γW4+μW5
Wherein, EθRepresent weak tendency family comprehensive weak tendency index, W1Represent weak tendency family orphans and widows's index, α represents that weak tendency family orphans and widows refers to Number weight, W2Represent weak tendency family illness index, β represents weak tendency family illness index weight, W3Represent that the deformity of weak tendency family refers to Number, λ represent weak tendency family deformity index weight, W4Represent weak tendency family index of aging, γ represents weak tendency family index of aging power Weight, W5Represent the poor and weak index of weak tendency household wealth, μ represents the poor and weak weight of weak tendency household wealth.
9. it is according to claim 1 based on panorama as the weak tendency family monitoring method of association analysis, the screening needs After the weak tendency family of helping, further include to office of poverty alleviation of government staff and send pushed information.
10. it is according to claim 1 based on panorama as the weak tendency family monitoring method of association analysis, the screening needs After the weak tendency family of helping, in addition to the geographical location of the weak tendency family filtered out is shown on map.
11. it is according to claim 1 based on panorama as the weak tendency family monitoring method of association analysis, the screening needs After the weak tendency family of helping, further include according to weak tendency separated household Monitoring Index, formation zone weak tendency separated household distribution ranking.
12. it is a kind of based on panorama as the weak tendency Household monitoring system of association analysis, including:
Monitoring model creation module, extraction social information data, establishes weak tendency separated household monitoring model;
Weak tendency family comprehensive weak tendency index computing module, distributes weighted index for the weak tendency separated household monitoring model, is formed Weak tendency family portrait model, obtains the weak tendency value of the weak tendency family;
Weak tendency family screening module, according to weak tendency separated household Monitoring Index, screening areas weak tendency separated household ranking, according to weak The synthesis weak tendency index ranking in influential family front yard, screening need the weak tendency family of helping.
13. it is according to claim 12 based on panorama as the weak tendency Household monitoring system of association analysis, the weak tendency man After the screening module of front yard, info push module is further included, needs the weak of helping for export weak tendency family screening module Gesture family information is pushed to office of poverty alleviation of government staff.
14. it is according to claim 12 based on panorama as the weak tendency Household monitoring system of association analysis, the weak tendency man After the screening module of front yard, information display module is further included, for showing the geographical location of the weak tendency family filtered out on map.
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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111709865A (en) * 2020-06-17 2020-09-25 北京明略软件系统有限公司 Method, device and equipment for determining poverty-relieving information map and storage medium
CN113743637A (en) * 2020-05-29 2021-12-03 青岛海尔电冰箱有限公司 Gas concentration prediction method and device based on collaborative filtering and refrigerator
CN113803956A (en) * 2020-05-29 2021-12-17 青岛海尔电冰箱有限公司 Method and equipment for detecting gas concentration by refrigerator and refrigerator

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106408489A (en) * 2016-11-01 2017-02-15 航天恒星科技有限公司 Targeted poverty alleviation information processing method and device
CN106846220A (en) * 2016-12-30 2017-06-13 江苏物联网研究发展中心 A kind of accurate poverty alleviation system based on GIS dynamic evaluations

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106408489A (en) * 2016-11-01 2017-02-15 航天恒星科技有限公司 Targeted poverty alleviation information processing method and device
CN106846220A (en) * 2016-12-30 2017-06-13 江苏物联网研究发展中心 A kind of accurate poverty alleviation system based on GIS dynamic evaluations

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
中国人口学会 编: "《新形势 新挑战 新机遇:中国人口学会年会论文集(2016)》", 31 May 2017, 中国人口出版社 *
李连友 等: "《中国社会发展指数的构建与实证:面向全面小康社会》", 31 December 2016, 中国市场出版社 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113743637A (en) * 2020-05-29 2021-12-03 青岛海尔电冰箱有限公司 Gas concentration prediction method and device based on collaborative filtering and refrigerator
CN113803956A (en) * 2020-05-29 2021-12-17 青岛海尔电冰箱有限公司 Method and equipment for detecting gas concentration by refrigerator and refrigerator
CN111709865A (en) * 2020-06-17 2020-09-25 北京明略软件系统有限公司 Method, device and equipment for determining poverty-relieving information map and storage medium

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