CN110727753A - House source screening method based on geographic information system - Google Patents
House source screening method based on geographic information system Download PDFInfo
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Abstract
The invention provides a house source screening method based on a geographic information system, which comprises the following specific steps: step 1: loading a data map of a geographic information system, establishing a house source map layer on the data map, and inputting house information; step 2: setting a room selection area by using a geographic information system; and step 3: inputting the house selecting conditions of the client by using a geographic information system interface module; and 4, step 4: building a house screening model, and analyzing and calculating the available house priority value in the house selecting area; and 5: comparing the house priority values, and displaying the house selecting result on the digital map; step 6: and planning a route by using a geographic information system and guiding a client to carry out on-site investigation and verification. The invention improves the precision and efficiency of house source screening by constructing a house source screening model by utilizing the technologies of data acquisition and editing, data processing and storage management, graphic display and analysis, map making and the like of a geographic information system.
Description
Technical Field
The invention relates to the technical field of house source screening, in particular to a house source screening method based on a geographic information system.
Background
When a house intermediary screens house resources for a client, the requirements of the client on various conditions such as traffic, school, medical treatment and the like need to be considered, in the face of a large amount of house resource information, the intermediary personnel are difficult to give the most scientific and reasonable judgment and only can take the client to look at the house one by one for selection, and because the information is not complete, the house resource screening efficiency is low, the scientificity is not high, and a computer information system is required to assist in screening so as to improve the house selection scientificity and timeliness.
From the analysis of the prior art, the invention CN201610364373 provides a room selection method and device, the method utilizes a server to calculate and store the time from the coordinates of each pre-stored building to the coordinates of the central point of each grid respectively by adopting a plurality of travel modes, and queries the time from the coordinates of the central point to the coordinates of each pre-stored building through the server to screen the hit buildings. The invention CN201710900619 provides a room selection method, device, server and system. The method comprises the following steps: receiving the screening condition and the priority coefficient of a user, and searching the house source information matched with the priority coefficient and the screening condition in a database from a server; and receiving and displaying the house source information sent by the server. In practice, a map house selecting function is also provided, so that a client can visually see the position information of a house source and surrounding environment facilities on the map and screen a proper house by matching with the house source information stored in a computer.
The method integrates the prior art situation, utilizes the server retrieval technology to retrieve the house resources, improves the efficiency of screening the house resources, improves the searching performance, saves the time of the user, and improves the experience of the user by checking the position of the house resources on the map. However, the prior art has the following problems:
1) the prior art mainly provides an information retrieval function, lacks scientific calculation and analysis functions, and has low scientificity of the given room selection aid decision.
2) The analysis and calculation model for house source screening in the prior art is imperfect, scientific calculation can not be carried out aiming at diversified requirements of customers, and the individualized requirements of the customers can not be met.
3) In the prior art, data of house source information is not comprehensive and accurate enough, and data use, management and display are still incomplete, so that the precision of house selection results is not high.
The geographic information system includes various basic and advanced functions for processing spatial or geographic information, including data collection, management, processing, spatial analysis techniques, model analysis techniques, spatial queries, networking techniques, database integration techniques, and the like. The invention provides technologies such as data acquisition and editing, data processing and storage management, graphic display and analysis, map making and the like based on a geographic information system, and improves the house source screening method and the precision and the efficiency of house source screening by constructing a house source screening model.
Disclosure of Invention
The invention aims to provide a house source screening method based on a geographic information system, which aims to better assist a broker to recommend a proper house source to a client according to the client requirement, and comprises the following specific steps:
step 1: loading a data map of a geographic information system, establishing a house source map layer on the data map, inputting house information and storing the house source map layer in a house source database;
step 2: setting a room selection area by using a geographic information system; setting various types of room selection areas such as linear, triangular, four-side, multilateral and composite areas on a data map of a geographic information system by using a graphic selection tool or a parameter input method according to the requirements of a client; searching available houses in the house selection area by utilizing the retrieval function of the geographic information system, and extracting house information from the database;
and step 3: inputting the house selecting conditions of the client by using a geographic information system interface module; the house selecting conditions of the client comprise study conditions, medical conditions, traffic conditions and environmental conditions, and the weight value and the service range of each house selecting condition are set;
and 4, step 4: building a house screening model, and analyzing and calculating the priority value of available houses in the house selection area;
the method comprises the steps that firstly, schools, hospitals, transportation facilities and environment facilities within the available house service range are searched by utilizing the retrieval function of a geographic information system, and information of the schools, the hospitals, the transportation facilities and the environment facilities is extracted from a geographic information system database; the school information comprises school position and school category; hospital information includes location, type; the traffic facility information comprises traffic station positions and road types; the environmental facility information comprises facility position and type; obtaining ranking information of schools and hospitals from social statistics;
secondly, calculating a priority value of the upper computer; classifying the searched schools, and distinguishing 4 classes of kindergarten, primary school, junior high school and high school; calculating the traffic distance between the house and each school by utilizing the analysis function of the geographic information system and combining the road condition;
(1) the comprehensive priority value calculation model for kindergartens is as follows:
the individual kindergarten priority value is calculated as follows: eYoung person＝μPM/PMYoung person+μJL/JLYoung person
Wherein E isYoung personIs the priority value, PM, of the nth kindergartenYoung personRanking for the nth kindergarten; mu.sPMA weight coefficient for ranking kindergartens; JL (junction drive)Young personThe distance between the house and the nth kindergarten; mu.sJLA weight coefficient for kindergarten traffic distance;
the calculation method of the comprehensive priority value of the kindergarten is as follows: eChildren＝EChildren 1+EChildren 2+...+EBaby k
Wherein E isChildrenThe comprehensive priority value is a kindergarten comprehensive priority value; eChildren 1Is the priority value of the 1 st kindergarten; eChildren 2Is the priority value of the 2 nd kindergarten; eBaby kIs the k kindergarten priority value; k is the number of kindergartens in the service range of the indoor learning condition;
(2) the comprehensive priority value calculation model of the primary school is as follows:
the priority value of the elementary school is calculated by the following method: eSmall n＝μPM/PMSmall n+μJL/JLSmall n
Wherein E isSmall nIs the priority value of the nth elementary school, PMSmall nRank of nth elementary school; mu.sPMA weight coefficient for ranking the elementary school; JL (junction drive)Small nThe traffic distance between the house and the nth primary school; mu.sJLThe weight coefficient is the primary school traffic distance;
the calculation method of the comprehensive priority value of the primary school is as follows: eSmall＝ESmall 1+ESmall 2+...+EBaby k
Wherein E isChildrenIs the comprehensive priority value of the primary school; eSmall 1Is the priority value of the 1 st elementary school; eSmall 2Is 2 ndA primary school priority value; eSmall kIs the priority value of the kth elementary school; k is the number of primary schools in the house learning condition service range;
(3) the comprehensive priority value calculation model for junior middle schools is as follows:
the priority value of a single junior middle school is calculated by the following formula: eN is a number of＝μPM/PMN is a number of+μJL/JLN is a number of
Wherein E isN is a number ofIs the priority value of the nth junior middle school, PMN is a number ofRank for the nth junior middle school; mu.sPMA weight coefficient for the junior middle ranking; JL (junction drive)N is a number ofThe traffic distance between the house and the nth junior middle school; mu.sJLThe weight coefficient is the traffic distance of the junior middle school;
the calculation method of the junior middle school comprehensive priority value is as follows: eFirst stage＝EBeginning 1+E2 beginning+...+EInitial k
Wherein E isFirst stageThe comprehensive priority value of the junior middle school is; eBeginning 1Is the priority value of the 1 st junior middle school; e2 beginningThe priority value of the 2 nd junior middle school; eInitial kThe priority value of the kth junior middle school; k is the number of junior high schools in the house learning condition service range;
(4) the integrated priority value calculation model in high school is as follows:
the single high school priority value is calculated by the following formula: eHigh n＝μPM/PMHigh n+μJL/JLHigh n
Wherein E isHigh nIs the nth highest priority value, PMHigh nRank of nth high middle; mu.sPMA weight coefficient for high and medium rank; JL (junction drive)High nThe traffic distance between the house and the nth high school; mu.sJLThe weight coefficient is the traffic distance of the high school;
the calculation method of the comprehensive priority value of high school is as follows: eHeight of＝EHeight 1+EHeight 2+...+EHigh k
Wherein E isHeight ofThe value is the high and medium comprehensive priority value; eHeight 1The priority value of the 1 st high school; eHeight 2The priority value of the 2 nd highest; eHigh kThe k-th highest priority value; k is houseThe number of high and medium schools within the upper school condition service range;
(5) the priority value of the upper school condition is calculated by the following formula:
Esx＝Echildren×μChildren+ESmall×μSmall+EFirst stage×μFirst stage+EHeight of×μHeight of
Wherein E issxFor priority values of the upper school conditions, EChildrenThe comprehensive priority value is a kindergarten comprehensive priority value; mu.sChildrenA weight coefficient that is a kindergarten's composite priority value; eSmallIs the comprehensive priority value of the primary school; mu.sSmallA weight coefficient which is a primary school comprehensive priority value; eFirst stageThe comprehensive priority value of the junior middle school is; mu.sFirst stageThe weight coefficient is the comprehensive priority value of the junior middle school; eHeight ofThe value is the high and medium comprehensive priority value; mu.sHeight ofA weight coefficient which is a high and medium comprehensive priority value;
thirdly, calculating the priority value of the hospitalizing conditions;
firstly, respectively calculating the priority values of the single hospitals;
the calculation method is as follows: eYYn＝μPM/PMYYn+μJL/JLYYn
Wherein E isYYnIs the priority value of the nth hospital, PMYYnRank for nth hospital; mu.sPMA weight coefficient for ranking hospitals; JL (junction drive)YYnThe transportation distance between the house and the nth hospital; mu.sJLThe weight coefficient is the hospital traffic distance;
secondly, calculating a priority value of the hospitalizing condition; the method is as follows: eJY＝EYY1+EYY2+...+EYYk；
Wherein E isJYPriority value of medical condition; eYY1The priority value of the 1 st hospital; eYY2Is the priority value of the 2 nd hospital; eYYkIs the priority value of the kth hospital; k is the number of hospitals in the service range of the hospitalizing condition of the house;
fourthly, calculating a traffic condition priority value; classifying the searched available traffic conditions, and distinguishing 3 types of track conditions, bus conditions and driving conditions;
(1) calculating a track condition priority value; searching rail transit stations in the available house traffic condition service range by utilizing the retrieval function of the geographic information system; calculating the walking distance between the house and each rail transit station by utilizing the analysis function of the geographic information system;
the track condition priority value calculation formula is as follows: eGD＝θ/JL1+θ/JL2+...+θ/JLk
Wherein E isGDFor track condition priority, JL1Distance on foot of house from 1 st rail transit station, JL2Distance of walk of house from 2 nd track traffic station, JLkThe walking distance between the house and the kth rail transit station is taken as the walking distance; theta is a calculation coefficient; k is the number of rail transit stations;
(2) calculating a bus condition priority value; searching bus stops in the available house service range by utilizing the retrieval function of the geographic information system; calculating the walking distance between the house and each bus stop by utilizing the analysis function of the geographic information system;
the calculation formula of the bus condition priority value is as follows: eGJ＝θ/JLg1+θ/JLg2+...+θ/JLgk
Wherein E isGJPriority value of bus conditions, JLg1Distance walked between the house and the 1 st bus stop, JLg2Distance walked between house and 2 nd bus stop, JLgkThe walking distance between the house and the kth bus stop; theta is a calculation coefficient; k is the number of bus stops;
(3) calculating a driving condition priority value; the driving integrated priority value calculation model is as follows: searching roads in the available house service range by utilizing the retrieval function of the geographic information system, counting the number of the roads, and calculating the width data of each road by utilizing the analysis function of the geographic information system;
the formula for calculating the driving condition priority value is as follows: eJC＝α×KDj1+α×KDj2+...+α×KDjk
Wherein E isJCGiving priority to driving conditionsValue, KDj1Width of road No. 1, KDj2Width of 2 nd road, KDjkThe width of the kth road; alpha is a calculation coefficient; k is the number of roads;
(4) calculating a traffic condition priority value;
Ejt＝EGD×μGD+EGJ×μGJ+EJC×μJC
wherein E isjtAs priority value of traffic conditions, EGDIs a track condition priority value; mu.sGDA weight coefficient that is a track condition priority value; eGJIs a bus condition priority value; mu.sGJA weight coefficient which is a bus condition priority value; eJCA driving condition priority value; mu.sJCA weight coefficient which is a priority value of the driving condition;
fifthly, calculating the priority value of the environmental condition;
(1) searching environmental facilities such as parks, fitness venues and the like in the available house service range by utilizing the retrieval function of the geographic information system, and counting the number of the environmental facilities; calculating the area of the environmental facility and the distance from the house by utilizing the analysis function of the geographic information system;
(2) the environmental condition priority value calculation model is as follows:
Ehj＝θ×MJj1/JLj1+θ×MJj2/JLj2+...+θ×MJjk/JLjk
wherein E ishjFor environmental condition priority value, MJj1Area of 1 st environmental facility, MJj2Area of 2 nd environmental facility, MJjkArea of the kth environmental facility, JLj1Distance of the house from the 1 st environmental facility, JLj2Distance of the house from the 2 nd environmental installation, JLjkDistance of the house from the kth environmental facility; theta is a calculation coefficient; k is the number of environmental facilities;
sixthly, calculating a house priority value; the house priority value is calculated as follows:
En＝Esxn×μsx+Ejyn×μjy+Ejtn×μjt+Ehjn×μhj
wherein E isnIs the priority value of the nth house, EsxnIs the priority value of the school condition of the nth house, musxA weight coefficient which is a priority value of the learning condition; ejynThe preferential value of the hospitalizing condition of the nth house; mu.sjtWeight coefficients for the medical conditions; ejtnA traffic condition priority value for the nth house; mu.sjtA weight coefficient that is a priority value of the traffic condition; ehjnIs the environmental condition priority value of the nth house; mu.shjA weight coefficient that is a priority value of the environmental condition;
and 5: comparing the house priority values, and displaying the house selecting result on the digital map; screening a house priority value, selecting a house with a larger house priority value, listing a list of preferred houses, and visually displaying the position of the preferred house on a digital map of a geographic information system; displaying the analysis result of the room selection condition to assist the client in making room selection decision;
step 6: planning a route by using a geographic information system and guiding a client to carry out on-site investigation and verification; the geographic information system plans a client site investigation and verification optimal route according to the preferable house distribution condition, the distance condition and the road condition, and is used by intermediaries and clients; and after the house selection is finished, updating the house source database information, and identifying the house as unavailable.
Preferably, the house source information in step 1 includes position coordinates, a cell name, a building number, a unit, a house number, an area, a floor, an orientation, a house type, an internal image, a renting and selling condition and the like; the position coordinates of the house source can be input by clicking data on a data map or filling in the data.
Preferably, the service range of the room selection condition in the step 3 is the maximum distance which satisfies the customer condition with the house as the center, the service range of the study condition is generally set to be 2-3 km, and the service range of the medical condition is generally set to be 3-5 km; the service range of traffic conditions is typically set to 1-2 km; the service range of the environmental conditions is typically set to 1-3 km.
Preferably, in the step 5, 5 to 10 houses with high house priority values are selected, listed as a preferred house list and highlighted.
Compared with the prior art, the invention has the advantages that:
1) the invention utilizes the advantages of the geographic information system in the technologies of geographic data storage, information retrieval, space calculation and the like, so that the data is more comprehensive and accurate, the house source screening function is enriched, and the automation level and efficiency of house selection are improved.
2) The invention constructs the analysis and calculation model of house source screening, can carry out scientific calculation aiming at the diversified demands of customers, has higher precision of house source screening and can better meet the individualized demands of customers.
3) The invention utilizes the graphical display technology and the operation technology of the geographic information system, and the house source screening is more convenient and flexible.
Drawings
FIG. 1 is a flow chart of a method for selecting a house source based on a geographic information system;
Detailed Description
The following detailed description of the embodiments of the present invention is provided with reference to the accompanying drawings, as shown in fig. 1, the following steps are performed:
step 1: loading a data map of a geographic information system, establishing a house source map layer on the data map, inputting house information and storing the house source map layer in a house source database; the house source information comprises position coordinates, cell names, building numbers, units, house numbers, areas, floors, orientation, house types, internal images, renting and selling conditions and the like; the position coordinates of the house source can be input by clicking data on a data map or filling in;
step 2: setting a room selection area by using a geographic information system; setting various types of room selection areas such as linear, triangular, four-side, multilateral and composite areas on a data map of a geographic information system by using a graphic selection tool or a parameter input method according to the requirements of a client; searching available houses in the house selection area by utilizing the retrieval function of the geographic information system, and extracting house information from the database;
and step 3: inputting the house selecting conditions of the client by using a geographic information system interface module; the house selecting conditions of the client comprise study conditions, medical conditions, traffic conditions and environmental conditions, and the weight value and the service range of each house selecting condition are set; the service range of the room selection condition is the maximum distance which takes the house as the center and meets the customer condition, the service range of the study condition is generally set to be 2-3 kilometers, and the service range of the medical condition is generally set to be 3-5 kilometers; the service range of traffic conditions is typically set to 1-2 km; the service range of the environmental conditions is typically set to 1-3 km.
And 4, step 4: building a house screening model, and analyzing and calculating the priority value of available houses in the house selection area;
the method comprises the steps that firstly, schools, hospitals, transportation facilities and environment facilities within the available house service range are searched by utilizing the retrieval function of a geographic information system, and information of the schools, the hospitals, the transportation facilities and the environment facilities is extracted from a geographic information system database; the school information comprises school position and school category; hospital information includes location, type; the traffic facility information comprises traffic station positions and road types; the environmental facility information comprises facility position and type; obtaining ranking information of schools and hospitals from social statistics;
secondly, calculating a priority value of the upper computer; classifying the searched schools, and distinguishing 4 classes of kindergarten, primary school, junior high school and high school; calculating the traffic distance between the house and each school by utilizing the analysis function of the geographic information system and combining the road condition;
(1) the comprehensive priority value calculation model for kindergartens is as follows:
the individual kindergarten priority value is calculated as follows: eYoung person＝μPM/PMYoung person+μJL/JLYoung person
Wherein E isYoung personIs the priority value, PM, of the nth kindergartenYoung personRanking for the nth kindergarten; mu.sPMA weight coefficient for ranking kindergartens; JL (junction drive)Young personThe distance between the house and the nth kindergarten; mu.sJLA weight coefficient for kindergarten traffic distance;
integrated priority for kindergartenThe value calculation method is as follows: eChildren＝EChildren 1+EChildren 2+...+EBaby k
Wherein E isChildrenThe comprehensive priority value is a kindergarten comprehensive priority value; eChildren 1Is the priority value of the 1 st kindergarten; eChildren 2Is the priority value of the 2 nd kindergarten; eBaby kIs the k kindergarten priority value; k is the number of kindergartens in the service range of the indoor learning condition;
(2) the comprehensive priority value calculation model of the primary school is as follows:
the priority value of the elementary school is calculated by the following method: eSmall n＝μPM/PMSmall n+μJL/JLSmall n
Wherein E isSmall nIs the priority value of the nth elementary school, PMSmall nRank of nth elementary school; mu.sPMA weight coefficient for ranking the elementary school; JL (junction drive)Small nThe traffic distance between the house and the nth primary school; mu.sJLThe weight coefficient is the primary school traffic distance;
the calculation method of the comprehensive priority value of the primary school is as follows: eSmall＝ESmall 1+ESmall 2+...+EBaby k
Wherein E isChildrenIs the comprehensive priority value of the primary school; eSmall 1Is the priority value of the 1 st elementary school; eSmall 2Is the priority value of the 2 nd elementary school; eSmall kIs the priority value of the kth elementary school; k is the number of primary schools in the house learning condition service range;
(3) the comprehensive priority value calculation model for junior middle schools is as follows:
the priority value of a single junior middle school is calculated by the following formula: eN is a number of＝μPM/PMN is a number of+μJL/JLN is a number of
Wherein E isN is a number ofIs the priority value of the nth junior middle school, PMN is a number ofRank for the nth junior middle school; mu.sPMA weight coefficient for the junior middle ranking; JL (junction drive)N is a number ofThe traffic distance between the house and the nth junior middle school; mu.sJLThe weight coefficient is the traffic distance of the junior middle school;
the calculation method of the junior middle school comprehensive priority value is as follows: eFirst stage＝EBeginning 1+E2 beginning+...+EInitial k
Wherein E isFirst stageThe comprehensive priority value of the junior middle school is; eBeginning 1Is the priority value of the 1 st junior middle school; e2 beginningThe priority value of the 2 nd junior middle school; eInitial kThe priority value of the kth junior middle school; k is the number of junior high schools in the house learning condition service range;
(4) the integrated priority value calculation model in high school is as follows:
the single high school priority value is calculated by the following formula: eHigh n＝μPM/PMHigh n+μJL/JLHigh n
Wherein E isHigh nIs the nth highest priority value, PMHigh nRank of nth high middle; mu.sPMA weight coefficient for high and medium rank; JL (junction drive)High nThe traffic distance between the house and the nth high school; mu.sJLThe weight coefficient is the traffic distance of the high school;
the calculation method of the comprehensive priority value of high school is as follows: eHeight of＝EHeight 1+EHeight 2+...+EHigh k
Wherein E isHeight ofThe value is the high and medium comprehensive priority value; eHeight 1The priority value of the 1 st high school; eHeight 2The priority value of the 2 nd highest; eHigh kThe k-th highest priority value; k is the number of high and medium schools in the service range of the upper school condition of the house;
(5) the priority value of the upper school condition is calculated by the following formula:
Esx＝Echildren×μChildren+ESmall×μSmall+EFirst stage×μFirst stage+EHeight of×μHeight of
Wherein E issxFor priority values of the upper school conditions, EChildrenThe comprehensive priority value is a kindergarten comprehensive priority value; mu.sChildrenA weight coefficient that is a kindergarten's composite priority value; eSmallIs the comprehensive priority value of the primary school; mu.sSmallA weight coefficient which is a primary school comprehensive priority value; eFirst stageThe comprehensive priority value of the junior middle school is; mu.sFirst stageThe weight coefficient is the comprehensive priority value of the junior middle school; eHeight ofThe value is the high and medium comprehensive priority value; mu.sHeight ofFor high school comprehensive priorityA weight coefficient of the value;
thirdly, calculating the priority value of the hospitalizing conditions;
firstly, respectively calculating the priority values of the single hospitals;
the calculation method is as follows: eYYn＝μPM/PMYYn+μJL/JLYYn
Wherein E isYYnIs the priority value of the nth hospital, PMYYnRank for nth hospital; mu.sPMA weight coefficient for ranking hospitals; JL (junction drive)YYnThe transportation distance between the house and the nth hospital; mu.sJLThe weight coefficient is the hospital traffic distance;
secondly, calculating a priority value of the hospitalizing condition; the method is as follows: eJY＝EYY1+EYY2+...+EYYk；
Wherein E isJYPriority value of medical condition; eYY1The priority value of the 1 st hospital; eYY2Is the priority value of the 2 nd hospital; eYYkIs the priority value of the kth hospital; k is the number of hospitals in the service range of the hospitalizing condition of the house;
fourthly, calculating a traffic condition priority value; classifying the searched available traffic conditions, and distinguishing 3 types of track conditions, bus conditions and driving conditions;
(1) calculating a track condition priority value; searching rail transit stations in the available house traffic condition service range by utilizing the retrieval function of the geographic information system; calculating the walking distance between the house and each rail transit station by utilizing the analysis function of the geographic information system;
the track condition priority value calculation formula is as follows: eGD＝θ/JL1+θ/JL2+...+θ/JLk
Wherein E isGDFor track condition priority, JL1Distance on foot of house from 1 st rail transit station, JL2Distance of walk of house from 2 nd track traffic station, JLkThe walking distance between the house and the kth rail transit station is taken as the walking distance; theta is a calculation coefficient; k is the number of rail transit stations;
(2) calculating a bus condition priority value; searching bus stops in the available house service range by utilizing the retrieval function of the geographic information system; calculating the walking distance between the house and each bus stop by utilizing the analysis function of the geographic information system;
the calculation formula of the bus condition priority value is as follows: eGJ＝θ/JLg1+θ/JLg2+...+θ/JLgk
Wherein E isGJPriority value of bus conditions, JLg1Distance walked between the house and the 1 st bus stop, JLg2Distance walked between house and 2 nd bus stop, JLgkThe walking distance between the house and the kth bus stop; theta is a calculation coefficient; k is the number of bus stops;
(3) calculating a driving condition priority value; the driving integrated priority value calculation model is as follows: searching roads in the available house service range by utilizing the retrieval function of the geographic information system, counting the number of the roads, and calculating the width data of each road by utilizing the analysis function of the geographic information system;
the formula for calculating the driving condition priority value is as follows: eJC＝α×KDj1+α×KDj2+...+α×KDjk
Wherein E isJCPriority value of driving conditions, KDj1Width of road No. 1, KDj2Width of 2 nd road, KDjkThe width of the kth road; alpha is a calculation coefficient; k is the number of roads;
(4) calculating a traffic condition priority value;
Ejt＝EGD×μGD+EGJ×μGJ+EJC×μJC
wherein E isjtAs priority value of traffic conditions, EGDIs a track condition priority value; mu.sGDA weight coefficient that is a track condition priority value; eGJIs a bus condition priority value; mu.sGJA weight coefficient which is a bus condition priority value; eJCA driving condition priority value; mu.sJCA weight coefficient which is a priority value of the driving condition;
fifthly, calculating the priority value of the environmental condition;
(1) searching environmental facilities such as parks, fitness venues and the like in the available house service range by utilizing the retrieval function of the geographic information system, and counting the number of the environmental facilities; calculating the area of the environmental facility and the distance from the house by utilizing the analysis function of the geographic information system;
(2) the environmental condition priority value calculation model is as follows:
Ehj＝θ×MJj1/JLj1+θ×MJj2/JLj2+...+θ×MJjk/JLjk
wherein E ishjFor environmental condition priority value, MJj1Area of 1 st environmental facility, MJj2Area of 2 nd environmental facility, MJjkArea of the kth environmental facility, JLj1Distance of the house from the 1 st environmental facility, JLj2Distance of the house from the 2 nd environmental installation, JLjkDistance of the house from the kth environmental facility; theta is a calculation coefficient; k is the number of environmental facilities;
sixthly, calculating a house priority value; the house priority value is calculated as follows:
En＝Esxn×μsx+Ejyn×μjy+Ejtn×μjt+Ehjn×μhj
wherein E isnIs the priority value of the nth house, EsxnIs the priority value of the school condition of the nth house, musxA weight coefficient which is a priority value of the learning condition; ejynThe preferential value of the hospitalizing condition of the nth house; mu.sjtWeight coefficients for the medical conditions; ejtnA traffic condition priority value for the nth house; mu.sjtA weight coefficient that is a priority value of the traffic condition; ehjnIs the environmental condition priority value of the nth house; mu.shjA weight coefficient that is a priority value of the environmental condition;
and 5: comparing the house priority values, and displaying the house selecting result on the digital map; screening a house priority value, selecting a house with a larger house priority value, listing a list of preferred houses, and visually displaying the position of the preferred house on a digital map of a geographic information system; displaying the analysis result of the room selection condition to assist the client in making room selection decision;
step 6: planning a route by using a geographic information system and guiding a client to carry out on-site investigation and verification; the geographic information system plans a client site investigation and verification optimal route according to the preferable house distribution condition, the distance condition and the road condition, and is used by intermediaries and clients; and after the house selection is finished, updating the house source database information, and identifying the house as unavailable.
Compared with the prior art, the invention has the advantages that:
1) the invention utilizes the advantages of the geographic information system in the technologies of geographic data storage, information retrieval, space calculation and the like, so that the data is more comprehensive and accurate, the house source screening function is enriched, and the automation level and efficiency of house selection are improved.
2) The invention constructs the analysis and calculation model of house source screening, can carry out scientific calculation aiming at the diversified demands of customers, has higher precision of house source screening and can better meet the individualized demands of customers.
3) The invention utilizes the graphical display technology and the operation technology of the geographic information system, and the house source screening is more convenient and flexible.
While the present invention has been described with reference to a limited number of embodiments and drawings, as described above, various modifications and changes will become apparent to those skilled in the art to which the present invention pertains. Accordingly, other embodiments are within the scope and spirit of the following claims and equivalents thereto.
Claims (4)
1. A house source screening method based on a geographic information system is characterized by comprising the following specific steps:
step 1: loading a data map of a geographic information system, establishing a house source map layer on the data map, inputting house information and storing the house source map layer in a house source database;
step 2: setting a room selection area by using a geographic information system; setting various types of room selection areas such as linear, triangular, four-side, multilateral and composite areas on a data map of a geographic information system by using a graphic selection tool or a parameter input method according to the requirements of a client; searching available houses in the house selection area by utilizing the retrieval function of the geographic information system, and extracting house information from the database;
and step 3: inputting the house selecting conditions of the client by using a geographic information system interface module; the house selecting conditions of the client comprise study conditions, medical conditions, traffic conditions and environmental conditions, and the weight value and the service range of each house selecting condition are set;
and 4, step 4: building a house screening model, and analyzing and calculating the priority value of available houses in the house selection area;
the method comprises the steps that firstly, schools, hospitals, transportation facilities and environment facilities within the available house service range are searched by utilizing the retrieval function of a geographic information system, and information of the schools, the hospitals, the transportation facilities and the environment facilities is extracted from a geographic information system database; the school information comprises school position and school category; hospital information includes location, type; the traffic facility information comprises traffic station positions and road types; the environmental facility information comprises facility position and type; obtaining ranking information of schools and hospitals from social statistics;
secondly, calculating a priority value of the upper computer; classifying the searched schools, and distinguishing 4 classes of kindergarten, primary school, junior high school and high school; calculating the traffic distance between the house and each school by utilizing the analysis function of the geographic information system and combining the road condition;
(1) the comprehensive priority value calculation model for kindergartens is as follows:
the individual kindergarten priority value is calculated as follows: eYoung person＝μPM/PMYoung person+μJL/JLYoung person
Wherein E isYoung personIs the priority value, PM, of the nth kindergartenYoung personRanking for the nth kindergarten; mu.sPMA weight coefficient for ranking kindergartens; JL (junction drive)Young personThe distance between the house and the nth kindergarten; mu.sJLA weight coefficient for kindergarten traffic distance;
the calculation method of the comprehensive priority value of the kindergarten is as follows: eChildren＝EChildren 1+EChildren 2+...+EBaby k
Wherein E isChildrenThe comprehensive priority value is a kindergarten comprehensive priority value; eChildren 1Is the priority value of the 1 st kindergarten; eChildren 2Is the priority value of the 2 nd kindergarten; eBaby kIs the k kindergarten priority value; k is the number of kindergartens in the service range of the indoor learning condition;
(2) the comprehensive priority value calculation model of the primary school is as follows:
the priority value of the elementary school is calculated by the following method: eSmall n＝μPM/PMSmall n+μJL/JLSmall n
Wherein E isSmall nIs the priority value of the nth elementary school, PMSmall nRank of nth elementary school; mu.sPMA weight coefficient for ranking the elementary school; JL (junction drive)Small nThe traffic distance between the house and the nth primary school; mu.sJLThe weight coefficient is the primary school traffic distance;
the calculation method of the comprehensive priority value of the primary school is as follows: eSmall＝ESmall 1+ESmall 2+...+EBaby k
Wherein E isChildrenIs the comprehensive priority value of the primary school; eSmall 1Is the priority value of the 1 st elementary school; eSmall 2Is the priority value of the 2 nd elementary school; eSmall kIs the priority value of the kth elementary school; k is the number of primary schools in the house learning condition service range;
(3) the comprehensive priority value calculation model for junior middle schools is as follows:
the priority value of a single junior middle school is calculated by the following formula: eN is a number of＝μPM/PMN is a number of+μJL/JLN is a number of
Wherein E isN is a number ofIs the priority value of the nth junior middle school, PMN is a number ofRank for the nth junior middle school; mu.sPMA weight coefficient for the junior middle ranking; JL (junction drive)N is a number ofThe traffic distance between the house and the nth junior middle school; mu.sJLThe weight coefficient is the traffic distance of the junior middle school;
the calculation method of the junior middle school comprehensive priority value is as follows: eFirst stage＝EBeginning 1+E2 beginning+...+EInitial k
Wherein E isFirst stageThe comprehensive priority value of the junior middle school is; eBeginning 1Is the priority value of the 1 st junior middle school; e2 beginningThe priority value of the 2 nd junior middle school; eInitial kThe priority value of the kth junior middle school; k is the number of junior high schools in the house learning condition service range;
(4) the integrated priority value calculation model in high school is as follows:
the single high school priority value is calculated by the following formula: eHigh n＝μPM/PMHigh n+μJL/JLHigh n
Wherein E isHigh nIs the nth highest priority value, PMHigh nRank of nth high middle; mu.sPMA weight coefficient for high and medium rank; JL (junction drive)High nThe traffic distance between the house and the nth high school; mu.sJLThe weight coefficient is the traffic distance of the high school;
the calculation method of the comprehensive priority value of high school is as follows: eHeight of＝EHeight 1+EHeight 2+...+EHigh k
Wherein E isHeight ofThe value is the high and medium comprehensive priority value; eHeight 1The priority value of the 1 st high school; eHeight 2The priority value of the 2 nd highest; eHigh kThe k-th highest priority value; k is the number of high and medium schools in the service range of the upper school condition of the house;
(5) the priority value of the upper school condition is calculated by the following formula:
Esx＝Echildren×μChildren+ESmall×μSmall+EFirst stage×μFirst stage+EHeight of×μHeight of
Wherein E issxFor priority values of the upper school conditions, EChildrenThe comprehensive priority value is a kindergarten comprehensive priority value; mu.sChildrenA weight coefficient that is a kindergarten's composite priority value; eSmallIs the comprehensive priority value of the primary school; mu.sSmallA weight coefficient which is a primary school comprehensive priority value; eFirst stageThe comprehensive priority value of the junior middle school is; mu.sFirst stageThe weight coefficient is the comprehensive priority value of the junior middle school; eHeight ofThe value is the high and medium comprehensive priority value; mu.sHeight ofIs the high school comprehensive priority valueThe weight coefficient of (a);
thirdly, calculating the priority value of the hospitalizing conditions;
firstly, respectively calculating the priority values of the single hospitals;
the calculation method is as follows: eYYn＝μPM/PMYYn+μJL/JLYYn
Wherein E isYYnIs the priority value of the nth hospital, PMYYnRank for nth hospital; mu.sPMA weight coefficient for ranking hospitals; JL (junction drive)YYnThe transportation distance between the house and the nth hospital; mu.sJLThe weight coefficient is the hospital traffic distance;
secondly, calculating a priority value of the hospitalizing condition; the method is as follows: eJY＝EYY1+EYY2+...+EYYk；
Wherein E isJYPriority value of medical condition; eYY1The priority value of the 1 st hospital; eYY2Is the priority value of the 2 nd hospital; eYYkIs the priority value of the kth hospital; k is the number of hospitals in the service range of the hospitalizing condition of the house;
fourthly, calculating a traffic condition priority value; classifying the searched available traffic conditions, and distinguishing 3 types of track conditions, bus conditions and driving conditions;
(1) calculating a track condition priority value; searching rail transit stations in the available house traffic condition service range by utilizing the retrieval function of the geographic information system; calculating the walking distance between the house and each rail transit station by utilizing the analysis function of the geographic information system;
the track condition priority value calculation formula is as follows: eGD＝θ/JL1+θ/JL2+...+θ/JLk
Wherein E isGDFor track condition priority, JL1Distance on foot of house from 1 st rail transit station, JL2Distance of walk of house from 2 nd track traffic station, JLkThe walking distance between the house and the kth rail transit station is taken as the walking distance; theta is a calculation coefficient; k is the number of rail transit stations;
(2) calculating a bus condition priority value; searching bus stops in the available house service range by utilizing the retrieval function of the geographic information system; calculating the walking distance between the house and each bus stop by utilizing the analysis function of the geographic information system;
the calculation formula of the bus condition priority value is as follows: eGJ＝θ/JLg1+θ/JLg2+...+θ/JLgk
Wherein E isGJPriority value of bus conditions, JLg1Distance walked between the house and the 1 st bus stop, JLg2Distance walked between house and 2 nd bus stop, JLgkThe walking distance between the house and the kth bus stop; theta is a calculation coefficient; k is the number of bus stops;
(3) calculating a driving condition priority value; the driving integrated priority value calculation model is as follows: searching roads in the available house service range by utilizing the retrieval function of the geographic information system, counting the number of the roads, and calculating the width data of each road by utilizing the analysis function of the geographic information system;
the formula for calculating the driving condition priority value is as follows: eJC＝α×KDj1+α×KDj2+...+α×KDjk
Wherein E isJCPriority value of driving conditions, KDj1Width of road No. 1, KDj2Width of 2 nd road, KDjkThe width of the kth road; alpha is a calculation coefficient; k is the number of roads;
(4) calculating a traffic condition priority value;
Ejt＝EGD×μGD+EGJ×μGJ+EJC×μJC
wherein E isjtAs priority value of traffic conditions, EGDIs a track condition priority value; mu.sGDA weight coefficient that is a track condition priority value; eGJIs a bus condition priority value; mu.sGJA weight coefficient which is a bus condition priority value; eJCA driving condition priority value; mu.sJCA weight coefficient which is a priority value of the driving condition;
fifthly, calculating the priority value of the environmental condition;
(1) searching environmental facilities such as parks, fitness venues and the like in the available house service range by utilizing the retrieval function of the geographic information system, and counting the number of the environmental facilities; calculating the area of the environmental facility and the distance from the house by utilizing the analysis function of the geographic information system;
(2) the environmental condition priority value calculation model is as follows:
Ehj＝θ×MJj1/JLj1+θ×MJj2/JLj2+...+θ×MJjk/JLjk
wherein E ishjFor environmental condition priority value, MJj1Area of 1 st environmental facility, MJj2Area of 2 nd environmental facility, MJjkArea of the kth environmental facility, JLj1Distance of the house from the 1 st environmental facility, JLj2Distance of the house from the 2 nd environmental installation, JLjkDistance of the house from the kth environmental facility; theta is a calculation coefficient; k is the number of environmental facilities;
sixthly, calculating a house priority value; the house priority value is calculated as follows:
En＝Esxn×μsx+Ejyn×μjy+Ejtn×μjt+Ehjn×μhj
wherein E isnIs the priority value of the nth house, EsxnIs the priority value of the school condition of the nth house, musxA weight coefficient which is a priority value of the learning condition; ejynThe preferential value of the hospitalizing condition of the nth house; mu.sjtWeight coefficients for the medical conditions; ejtnA traffic condition priority value for the nth house; mu.sjtA weight coefficient that is a priority value of the traffic condition; ehjnIs the environmental condition priority value of the nth house; mu.shjA weight coefficient that is a priority value of the environmental condition;
and 5: comparing the house priority values, and displaying the house selecting result on the digital map; screening a house priority value, selecting a house with a larger house priority value, listing a list of preferred houses, and visually displaying the position of the preferred house on a digital map of a geographic information system; displaying the analysis result of the room selection condition to assist the client in making room selection decision;
step 6: planning a route by using a geographic information system and guiding a client to carry out on-site investigation and verification; the geographic information system plans a client site investigation and verification optimal route according to the preferable house distribution condition, the distance condition and the road condition, and is used by intermediaries and clients; and after the house selection is finished, updating the house source database information, and identifying the house as unavailable.
2. The house source screening method based on the geographic information system as claimed in claim 1, wherein: the house source information in the step 1 comprises position coordinates, cell names, building numbers, units, house numbers, areas, floors, orientations, house types, internal images, renting and selling conditions and the like; the position coordinates of the house source can be input by clicking data on a data map or filling in the data.
3. The house source screening method based on the geographic information system as claimed in claim 1, wherein: the service range of the room selection condition in the step 3 is the maximum distance which takes the house as the center and meets the customer condition, the service range of the study-going condition is set to be 2-3 kilometers, and the service range of the medical condition is set to be 3-5 kilometers; the service range of the traffic condition is set to be 1-2 kilometers; the service range of the environmental conditions is typically set to 1-3 km.
4. The house source screening method based on the geographic information system as claimed in claim 1, wherein: in the step 5, 5-10 houses with large priority values are selected, listed as a preferred house list and highlighted.
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| CN112182432A (en) * | 2020-09-25 | 2021-01-05 | 瑞庭网络技术（上海）有限公司 | House resource display method and device |
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| CN112182432A (en) * | 2020-09-25 | 2021-01-05 | 瑞庭网络技术（上海）有限公司 | House resource display method and device |
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