CN115471367A - House classification system and method for idle agricultural house inventory - Google Patents
House classification system and method for idle agricultural house inventory Download PDFInfo
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Abstract
The invention provides a house classification system and a house classification method for idle agricultural house inventory, and relates to the technical field of image information processing. The technical problem that house resources and land resources are wasted and even the service life of the agricultural house is shortened due to the fact that the agricultural house is unused in the prior art is solved. The quick matching recommendation of the idle agricultural houses is carried out according to the commercial purpose of the user, the secondary utilization rate of the idle agricultural houses is improved, and the technical effect of the idle agricultural houses on the waste of land resources is reduced.
Description
Technical Field
The invention relates to the technical field of image information processing, in particular to a house classification system and method for idle agricultural house inventory.
Background
The farm houses are house buildings which are built near farmlands, rural areas and other lands related to agricultural activities, can be classified into agricultural processing houses such as mill houses and residential houses such as stills, juniors and the like from the aspect of use, and in farming civilization, the farm houses ensure the stable proceeding of agricultural production processes and provide residential sites for workers who participate in agricultural production.
With the progress of agricultural cultivation civilization towards industrial civilization, the traditional small agricultural economy is cracked continuously, agricultural machinery replaces the demand of land cultivation for labor force, farmers can choose to enter cities to participate in city construction, and accordingly the idle agricultural houses become common states in some rural areas, the idle agricultural houses are accompanied by the waste of home bases, and the idle agricultural houses cannot provide new economic value for farmers.
The technical problems that after the agricultural room is idle or abandoned in the prior art, house resources and land resources are wasted, and even the agricultural room is overhauled for a long time due to abandoning or leaving unused, and the service life of the agricultural room is shortened exist.
Disclosure of Invention
The application provides a house classification system and a house classification method for idle agricultural room inventory, which are used for solving the technical problems that in the prior art, after the agricultural room is idle or abandoned, house resources and land resources are wasted, and even the agricultural room is overhauled for a long time due to abandoning or idling, and the service life of the agricultural room is shortened.
In view of the above problems, the present application provides a system and a method for classifying a house for idle inventory of an agricultural house.
In a first aspect of the application, a house classification system for idle farm house inventory is provided, the system comprising: the house position acquisition module is used for acquiring the position information of the idle house in the area to be analyzed; the regional information acquisition module is used for acquiring regional house information and regional environment information according to the idle house position information; the characteristic extraction execution module is used for obtaining image information of the idle room to be analyzed, and extracting the characteristics of the house structure, the house area and the house main body quality of the image information of the idle room to be analyzed to obtain a characteristic set of the idle room; the characteristic fusion analysis module is used for analyzing the fusion degree of the idle house characteristic set, the regional house information and the regional environment information to determine characteristic fusion information; the analysis result judging module is used for judging whether the feature fusion information meets the feature fusion requirements of regional house information and regional environment information; and the classification and marking execution module is used for determining the stock room inventory index according to the judgment result and the idle room feature set, and classifying and marking the idle room to be analyzed based on the stock room inventory index and the feature fusion information.
In a second aspect of the application, a house classifying method for idle farm house inventory is provided, and the method comprises the following steps: collecting idle room position information of an area to be analyzed; acquiring regional house information and regional environment information according to the position information of the idle house; acquiring image information of an idle room to be analyzed, and extracting the house structure, the house area and the main quality feature of the house from the image information of the idle room to be analyzed to acquire a feature set of the idle room; performing fusion degree analysis on the idle house feature set, regional house information and regional environment information to determine feature fusion information; judging whether the feature fusion information meets the feature fusion requirements of regional house information and regional environment information; and determining the stock room inventory index according to the judgment result and the idle room feature set, and classifying and labeling the idle rooms to be analyzed based on the stock room inventory index and the feature fusion information.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
according to the method provided by the embodiment of the application, the position information of the idle room in the area to be analyzed is collected, the information of the local house and the information of the local environment are collected according to the position information of the idle room, a characteristic comparison basis is provided for the subsequent matching degree fusion degree analysis of the idle agricultural room and the environment, the image information of the idle room to be analyzed is obtained, the characteristics of the house structure, the house area and the quality of the house main body are extracted from the image information of the idle room to be analyzed, and the characteristic set of the idle room is obtained; analyzing the fusion degree of the idle house feature set, the regional house information and the regional environment information, determining feature fusion information, judging whether the feature fusion information meets the feature fusion requirements of the regional house information and the regional environment information, scientifically judging the similarity between the current idle house and surrounding houses and the fusion degree between the current idle house and the building environment, determining the stock room inventory index according to the judgment result and the idle house feature set, and classifying and marking the idle house to be analyzed based on the stock room inventory index and the feature fusion information. Having reached and having integrated idle agricultural room, can having carried out the quick matching recommendation of idle agricultural room according to the commercial purpose of user, improved the secondary utilization rate of idle agricultural room, reduced the technological effect of idle agricultural room to the waste of land resource.
Drawings
Fig. 1 is a schematic flow chart of a house classifying method for idle farm house inventory provided by the present application;
fig. 2 is a schematic flow chart illustrating fusion degree analysis of idle house features in a house classifying method for idle farm house inventory provided by the present application;
fig. 3 is a schematic flow chart illustrating classification and labeling of idle houses to be analyzed in the house classification method for idle farm house inventory provided by the present application;
fig. 4 is a schematic structural diagram of a house classifying system for idle farm house inventory provided by the present application.
Description of reference numerals: the system comprises a house position acquisition module 11, a region information acquisition module 12, a feature extraction execution module 13, a feature fusion analysis module 14, an analysis result judgment module 15 and a classification and labeling execution module 16.
Detailed Description
The application provides a house classification system and a house classification method for idle agricultural room inventory, is used for solving the technical problem that there is agricultural room idle or abandon the back among the prior art, to house resource and land resource waste, even leads to the agricultural room to be out of service for a long time owing to abandoning or idle, and agricultural room life shortens.
In view of the above technical problems, the technical solution provided by the present application has the following general idea:
gather the appearance characteristic information of idle agricultural room, building structure information and area information, gather other housing construction and the building environment information of the peripheral within range of idle agricultural room simultaneously, carry out the analysis of current idle agricultural room building and environment integration degree based on peripheral building and building environment, and reference and fuse degree analysis result and housing construction characteristic classification result and carry out the house classification and carry out the idle house storehouse and update, realized integrating idle agricultural room, can carry out the quick matching recommendation of idle agricultural room according to the commercial purpose of user, improve the secondary utilization rate of idle agricultural room, reduce the waste of idle agricultural room to land resource.
Example one
As shown in fig. 1, the present application provides a method for classifying a house for an idle farm house inventory, the method comprising:
s100, collecting the position information of an idle room in an area to be analyzed;
s200, collecting regional house information and regional environment information according to the position information of the idle house;
specifically, in this embodiment, the area to be analyzed is a spatial range in which a status analysis and determination of the idle rooms is to be performed, and the area to be analyzed includes, but is not limited to, a set of idle rooms. The idle house is an idle farm house with the existing living function or use function being in a abandoned state, and can be a house in a courtyard type or a villa type, such as a ancestor house, a residential house, a mill house and the like.
The position information of the idle room is coordinate positioning information of the idle room in the area to be analyzed, based on the position information of the idle room, the area house information is building appearance image information of other house buildings located at the periphery of the idle room, and the area environment information is environment information at the periphery of the idle room.
And setting a plurality of regional environment image acquisition centers by taking a plurality of idle rooms in the region to be analyzed as original points, and setting regional house information and regional environment information acquisition radiuses. Obtaining natural environment information in a certain area range around the idle room in the area range to be analyzed by combining map geographic environment data information, and obtaining building construction information located around the idle room in the area to be analyzed by combining the registration condition of the idle room and the request and the use record of the homestead of the village group of the idle room, so as to obtain the area house information.
S300, acquiring image information of an idle room to be analyzed, and extracting the characteristics of the house structure, the house area and the quality of a house main body from the image information of the idle room to be analyzed to acquire a characteristic set of the idle room;
specifically, the building structure is divided into different building categories according to building material information of main bearing components such as beams, columns, walls and the like of the building, and the building structure characteristics include but are not limited to a masonry structure, a steel bar structure and a bamboo building structure. The housing area comprises the building area and the using area of the idle house. The quality of the house main body is an evaluation result of the building safety degree of the house according to the analysis of the building structure and the building materials.
In this embodiment, it is right through image acquisition device idle room carries out image acquisition, obtains and can be used for the analysis idle room house structural state calculates the housing area to and the analysis house main part degree of loss wait to analyze idle room image information, based on wait to analyze idle room image information and combine the building knowledge to carry out the house structural feature analysis and obtain the house structural feature, based on wait to analyze idle room image information and carry out the housing area calculation, obtain the housing area, based on wait to analyze idle room image information and combine the building knowledge analysis and obtain house main part quality feature generates idle room feature set.
S400, performing fusion degree analysis on the idle house feature set, regional house information and regional environment information to determine feature fusion information;
further, as shown in fig. 2, the fusion degree analysis is performed on the idle house feature set, the regional house information and the regional environment information, and the feature fusion information is determined, where step S400 of the method provided by the present application further includes:
s410, acquiring a regional house characteristic set according to regional house information;
s420, determining the regional environment-house correlation characteristics according to the regional environment information and the regional house information;
s430, traversing and comparing each feature in the idle house feature set with the regional environment-house associated features in sequence to determine a first feature fusion result;
s440, traversing and comparing each feature in the idle house feature set with the regional house feature set in sequence to determine a second feature fusion result;
and S450, taking the first feature fusion result as a primary fusion feature, and taking the second feature fusion result as a secondary fusion feature to obtain feature fusion information.
Specifically, in this embodiment, the regional house information is houses located around a plurality of idle houses in the region to be analyzed, including idle houses and non-idle houses still in a living or use state. According to the regional house information, acquiring non-idle houses in the region to be analyzed, carrying out image acquisition on the non-idle houses by adopting the method in the step S300 for the non-idle houses, acquiring image information of a plurality of non-idle houses, and carrying out house structure, house area and house main body quality feature extraction to obtain the regional house feature set.
And (3) extracting the house appearance image characteristics based on the non-idle house image information obtained by image acquisition, wherein the appearance characteristics comprise house appearance dominant hue characteristics and house appearance building material characteristics, analyzing the fusion degree between the house appearance characteristics and the environment based on the house appearance image characteristics and the regional environment information, and obtaining a plurality of groups of regional environment-house associated characteristics.
The regional environment-house associated characteristic reflects the adaptability of the house building to the environment, the adaptability of the exemplary earth wall appearance characteristic house and bamboo structure appearance characteristic house to farmland and arbor from forest environment is high, the adaptability of the low-height characteristic building to forest and farming environment is high, and reference is provided for subsequent characteristic comparison based on the regional environment-house associated characteristic.
Obtaining the dominant hue of the regional environment color and the height data of the plants and the mountain rocks of the regional environment according to the regional environment information, calculating and obtaining the RGB value of the dominant hue of the regional environment color and the average height value of the natural substances of the regional environment, and taking the deviation degree of the RGB value of the dominant hue of the house appearance of the idle house and the RGB value of the dominant hue of the regional environment color and the deviation degree of the building height of the idle house and the average height value of the natural substances of the regional environment as the regional environment-house correlation characteristics.
And traversing and comparing the house appearance dominant hue and the house building height characteristic of each idle house in the idle house characteristic set with the regional environment-house correlation characteristic in sequence to determine a first characteristic fusion result, wherein the first characteristic fusion result is composed of a plurality of regional environment-house correlation characteristics.
Obtaining house appearance dominant hue RGB values of all idle houses and non-idle houses which are close to the geographic position of the idle house in the area to be analyzed based on the regional house information, carrying out deviation analysis according to the plurality of house appearance dominant hue RGB values, removing houses with larger house appearance tonal deviation in the regional house information to obtain regional house color dominant hue RGB values, and calculating the deviation degree of the idle house appearance dominant hue RGB values and the RGB values of the regional house color dominant hues to be used as the house appearance color deviation degree. The method comprises the steps of sequentially traversing and comparing the house structure, the house area and the house main body quality characteristic in the idle house characteristic set with the house structure, the house area and the house main body quality characteristic corresponding to the regional house characteristic set, determining a second characteristic fusion result by combining house appearance color deviation, wherein the second fusion characteristic comprises three groups of fusion characteristics of the house structure, the house area, the house main body quality characteristic and RGB value deviation, and the feature fusion result of each group of fusion characteristics is characteristic similarity or characteristic similarity.
And taking the first feature fusion result representing the integration of appearance and environment as a main fusion feature, and taking the second feature fusion result representing the integration of style and use performance among building structures and houses as a secondary fusion feature to obtain feature fusion information.
According to the method, the peripheral environment information and the peripheral building information of the idle room are obtained, the building appearance characteristics and the environment fusion degree are analyzed based on the peripheral buildings, a plurality of building appearance characteristics with environment fusion are obtained, the building structure and the service performance are analyzed based on the peripheral buildings, the building service performance characteristics are obtained, the idle room and the peripheral buildings are subjected to service performance characteristic comparison analysis and environment fusion characteristic analysis, the analysis result reflecting the fusion degree of the idle room and the peripheral environment and the similarity degree of the idle room and the peripheral buildings is obtained, and the technical effect of providing reference information for the subsequent establishment of idle room inventory schemes is achieved.
S500, judging whether the feature fusion information meets the feature fusion requirements of regional house information and regional environment information;
in particular, the feature fusion requirements may be set as deemed by a designer with experience in farmhouse modification. The feature fusion requirements are assigned to a score system, each feature in the idle house feature set is sequentially subjected to traversal comparison with the regional environment-house associated features, the feature quantity of the regional environment-house associated features hit in the idle house appearance features is obtained and scored, each feature in the idle house feature set is sequentially subjected to traversal comparison with the regional house feature set, the times of hitting the house structure, the house area and the house main body quality features in the regional house feature set are obtained and scored, the hit scores of the house structure, the house area and the house main body quality features are multiplied or added, a feature fusion score is obtained and compared with the qualified score of the feature fusion requirements, and when the feature fusion score meets the feature fusion requirements, whether the feature fusion information meets the feature fusion requirements of regional house information and regional environment information is determined.
And S600, determining a farm house inventory index according to the judgment result and the idle house feature set, and classifying and labeling the idle houses to be analyzed based on the farm house inventory index and the feature fusion information.
Further, as shown in fig. 3, a farm house inventory index is determined according to the determination result and the idle house feature set, and the idle houses to be analyzed are classified and labeled based on the farm house inventory index and the feature fusion information, and the method provided by the application further includes step S600:
s610, scoring the idle house characteristic set according to the parameter weight value to obtain an idle house characteristic score;
s620, determining whether the fusion characteristics meet the fusion requirements according to the judgment result to obtain a fusion characteristic evaluation result;
and S630, calculating the inventory survival index of the farmhouse according to the idle house feature score and the fusion feature evaluation result.
Specifically, the stockroom inventory index is a difficulty index for modifying and decorating an idle room to enable the idle room to have commercial value, the higher the stockroom inventory index is, the lower the modification difficulty of the corresponding idle room is, and the post-modification value of the corresponding idle room can be estimated more intuitively based on the stockroom inventory index.
In this embodiment, the building structure, the building area, and the quality characteristics of the building main body in the idle building characteristic set are respectively scored according to the parameter weight values, weight calculation is performed to obtain the idle building characteristic score, whether the characteristic fusion information meets the characteristic fusion requirements of regional building information and regional environment information is judged based on the method disclosed in the specification of step S500, the fusion characteristic evaluation result is obtained, and the agricultural building inventory index is calculated according to the idle building characteristic score and the fusion characteristic evaluation result.
According to the method and the system, each characteristic of the idle house is scored, the secondary calculation of the scoring result is carried out by combining weight distribution, the reliability of the feature scoring of the idle house is improved, meanwhile, the feature scoring of the idle house is combined with the feature evaluation result of the fusion of the idle house, the inventory index of the agricultural house is generated, and the technical effects of providing visual house improvement cost and improvement value height for a supplier planning to carry out commercial operation on the transformation of the idle house are achieved.
According to the method, the position information of the idle room in the area to be analyzed is collected, the information of the local house and the information of the local environment are collected according to the position information of the idle room, a feature comparison basis is provided for the subsequent matching degree fusion degree analysis of the idle farm room and the environment, the image information of the idle room to be analyzed is obtained, and the characteristics of the house structure, the house area and the quality of the house main body are extracted from the image information of the idle room to be analyzed, so that the characteristic set of the idle room is obtained; and analyzing the fusion degree of the idle house characteristic set, the regional house information and the regional environment information, determining characteristic fusion information, judging whether the characteristic fusion information meets the characteristic fusion requirements of the regional house information and the regional environment information, scientifically judging the similarity between the current idle house and the surrounding houses and the fusion degree between the current idle house and the building environment, determining the inventory index of the agricultural house according to the judgment result and the idle house characteristic set, and classifying and labeling the idle house to be analyzed based on the inventory index of the agricultural house and the characteristic fusion information. The agricultural room that sets aside is integrated to having reached, can carry out the quick matching recommendation of the agricultural room that sets aside according to the commercial purpose of user, improves the secondary utilization ratio of the agricultural room that sets aside, reduces the technological effect of the waste of the agricultural room that sets aside to land resource.
Further, classifying and labeling the idle houses to be analyzed based on the farm house inventory index and the feature fusion information, and then, the method provided by the application further comprises the following steps:
s710, recording all classified and labeled idle rooms into an idle room inventory according to the classification labels;
s720, performing inventory feature analysis on the idle rooms according to the classification labels, labeling inventory schemes, and associating the inventory schemes with the corresponding idle rooms;
s730, acquiring user demand information, and determining constraint conditions based on the user demand information;
s740, a screening formula is established by utilizing the constraint conditions to screen the idle house and inventory plan in the idle house inventory, and information of the matched idle house is obtained.
Specifically, in this embodiment, the idle house inventory is a database that is formed by combining multi-category house components and inventory plans and classifies houses according to the feature fusion information.
And classifying idle rooms to be analyzed according to the characteristic value fusion degree information, and labeling data by combining the agricultural room inventory index which has one-to-one correspondence relationship with the idle rooms. According to the classification labels, all classified and labeled idle rooms are recorded into an idle room inventory warehouse, inventory feature analysis is carried out on the idle rooms according to the classification labels, the transformation directions of the idle rooms, such as appearance, structure and building area, which need to be executed by inventory of the idle rooms are analyzed, inventory schemes are determined and labeled in a traversal mode in the idle room inventory warehouse, and inventory schemes and corresponding idle rooms are associated.
The method comprises the steps of obtaining user demand information including but not limited to inventory budget, service life, building style and building inventory usage, determining constraint conditions based on the user demand information, and utilizing the constraint conditions to establish a screening formula to screen idle rooms and inventory schemes in an idle room inventory warehouse to obtain matched idle room information.
In the embodiment, the idle room inventory warehouse with the idle room classification and inventory scheme is constructed, the data of the idle room inventory warehouse is updated by analyzing the newly added idle room characteristics and calculating the inventory index, the referential performance of the idle room inventory warehouse in selecting and developing idle rooms for users is improved, and the technical effects of providing the idle rooms meeting requirements for the users and improving the possibility of creating economic benefits by using the idle rooms for a second time are achieved.
Further, the method provided by the present application further includes:
s110, extracting all idle rooms in the area to be analyzed according to the position information of the idle rooms to obtain information of all the idle rooms in the area;
s120, respectively carrying out image acquisition and feature extraction on each house in all the idle house information in the area to obtain a feature set of each idle house;
s130, acquiring service life information of each idle house;
s140, clustering by using a multilevel clustering method based on the feature set of each idle house and the service life information of each idle house to obtain a clustering result;
and S150, classifying the idle houses according to the clustering result.
Specifically, in the present embodiment, the service life refers to the construction time of the house building constructed on the legally obtained home base by the actual house owner.
It should be understood that, the building in the area to be analyzed includes, but is not limited to, a farm or commercial building, and therefore, in this embodiment, all the idle rooms in the area to be analyzed are extracted according to the idle room position information to obtain all the idle room information of the area.
And acquiring images of all the house buildings contained in all the idle house information in the area to be analyzed, extracting features of house structures, house areas and house main body quality features based on the image acquisition results, obtaining idle house feature sets of all the house buildings, and combining to generate the idle house feature sets.
And acquiring the service life information of each idle house, clustering by using a multilevel clustering method based on the feature set of each idle house and the service life information of each idle house to acquire a plurality of groups of house labels with similarity on the building features and the service lives, generating a clustering result, and classifying each idle house according to the clustering result.
In the embodiment, by combining the cluster characteristics of the house buildings in actual conditions, multi-level cluster analysis is performed on a plurality of idle house information in the area to be analyzed based on the service life of the house and the house characteristics, a plurality of house building groups with similarity in the house building characteristics and the service life are generated, and the technical effect of reducing the consumption of analysis time for performing fusion analysis on information such as idle house information and regional house building information in the follow-up process is achieved.
Further, each idle house is classified according to the clustering result, and the step S150 of the method provided by the present application further includes:
s151, a plurality of scoring channels are arranged, and the feature set and the service life information of each idle house are input into the plurality of scoring channels;
s152, acquiring reply scoring information of each channel, wherein the reply scoring information corresponds to parameters in the feature set of each idle house and the service life information of each idle house one by one;
s153, determining authority degree of the channels according to historical scoring records of a plurality of scoring channels;
s154, performing weight analysis on each parameter of the reply scoring information according to the reply scoring information and the authority degree of the channel, and determining the weight value of the parameter;
s155, scoring each idle house based on the parameter weight value, the feature set of each idle house and the service life information of each idle house, and determining a scoring result of each idle house;
and S156, reclassifying the clustering result according to the idle house scoring result.
Specifically, in this embodiment, the building design field experts are taken as a unit, each expert corresponds to one scoring channel, a plurality of scoring channels are formed, each idle house characteristic set and each idle house service life information are input into the plurality of scoring channels, each idle house characteristic set and each idle house service life information are transmitted to the building design field experts corresponding to the channels based on the scoring channels, return scoring information of the building design field experts of each channel is obtained, and the return scoring information corresponds to parameters in each idle house characteristic set and each idle house service life information one to one. And determining the authority degree of the channel according to the scoring frequency and the score fluctuation condition of the historical scoring records of the plurality of scoring channels.
And performing each parameter weight analysis on the reply grading information according to the reply grading information and the channel authority degree, determining a parameter weight value, grading each idle house based on the parameter weight value, each idle house characteristic set and each idle house service life information, determining each idle house grading result, and reclassifying the clustering result according to each idle house grading result.
According to the method, reply scoring information of a plurality of experts is collected and information isolation is carried out, authority degree judgment of expert scoring is carried out on the basis of scoring results and historical scoring conditions, parameter weight distribution results are generated, house scoring is carried out on the basis of the parameter weight distribution results, the service life of houses and house characteristics, the clustering results of a plurality of originally idle houses are optimized, the defect that the house building classification is inaccurate and generated by clustering is not corrected in time, and the reliability of results obtained by subsequent fusion degree analysis is reduced.
Further, based on the feature set of each idle house and the service life information of each idle house, a multi-level clustering method is used for clustering to obtain a clustering result, and the method provided by the application further comprises the following steps of S140:
s141, extracting characteristic parameters according to the characteristic set of each idle house;
s142, taking each data point in the characteristic parameters and the idle house service life information as a single type;
s143, calculating the Euclidean distance between the two single classes;
and S144, combining the two data points with the minimum Euclidean distance in all the data points to obtain a minimum average connection group, and repeating iteration until only one cluster containing all the data points exists.
Specifically, in this embodiment, the house structure, the house area, and the house main quality feature are extracted according to the regional house information in the region to be analyzed, so as to obtain each idle house feature set, and a house structure feature parameter, a house area feature parameter, and a house main quality structure feature parameter are extracted and obtained from the idle house feature sets.
And taking each data point in the characteristic parameters and the idle house service life information as a single class, calculating the Euclidean distance between the two characteristic parameter single classes, combining two data points with the minimum Euclidean distance in all the data points to obtain a minimum average connection group, and repeating iteration until only one cluster containing all the data points exists.
In the embodiment, the euclidean distance between two characteristic parameter categories is calculated by adopting a hierarchical clustering method, data point combination is carried out according to the calculation result, and iteration is repeated until only one cluster containing all data points is obtained, so that the technical effects of accurately classifying the non-idle houses in the area to be analyzed and obtaining a plurality of groups of accurate non-idle house groups are achieved.
Example two
Based on the same inventive concept as the house classifying method for idle farm house inventory in the previous embodiment, as shown in fig. 4, the application provides a house classifying system for idle farm house inventory, wherein the system comprises:
the house position acquisition module 11 is used for acquiring idle house position information of an area to be analyzed;
the regional information acquisition module 12 is used for acquiring regional house information and regional environment information according to the idle house position information;
the feature extraction executing module 13 is configured to obtain image information of an idle room to be analyzed, and extract features of a building structure, a building area, and a quality of a main building body of the idle room to be analyzed to obtain a feature set of the idle room;
the feature fusion analysis module 14 is configured to perform fusion degree analysis on the idle house feature set, the regional house information and the regional environment information, and determine feature fusion information;
an analysis result judgment module 15, configured to judge whether the feature fusion information meets the feature fusion requirements of the regional house information and the regional environment information;
and the classification and marking execution module 16 is used for determining the stock room inventory index according to the judgment result and the idle room feature set, and classifying and marking the idle room to be analyzed based on the stock room inventory index and the feature fusion information.
Further, the system provided by the present application further includes:
the data entry execution unit is used for entering all the classified and labeled idle rooms into the idle room inventory according to the classification labels;
the house scheme association unit is used for performing inventory feature analysis on the idle rooms according to the classification labels, labeling inventory schemes and associating the inventory schemes with the corresponding idle rooms;
the constraint condition determining unit is used for acquiring user requirement information and determining constraint conditions based on the user requirement information;
and the information screening execution unit is used for screening the idle house and inventory scheme in the idle house inventory by utilizing the constraint condition to construct a screening formula so as to obtain the matched idle house information.
Further, the house position collecting module 11 further includes:
the idle information extraction unit is used for extracting all idle rooms in the area to be analyzed according to the idle room position information to obtain all idle room information of the area;
the image feature extraction unit is used for respectively carrying out image acquisition and feature extraction on all houses in all idle house information in the area to obtain feature sets of all idle houses;
the house age information acquisition unit is used for acquiring the service life information of each idle house;
the hierarchical clustering execution unit is used for clustering by using a multilevel clustering method based on the feature set of each idle house and the service life information of each idle house to obtain a clustering result;
and the clustering result application unit is used for classifying the idle houses according to the clustering result.
Further, the clustering result applying unit further includes:
the system comprises a scoring channel input unit, a scoring channel input unit and a scoring channel output unit, wherein the scoring channel input unit is used for forming a plurality of scoring channels and inputting the feature set and the service life information of each idle house into the scoring channels;
the system comprises a scoring information obtaining unit, a scoring information obtaining unit and a scoring information analyzing unit, wherein the scoring information obtaining unit is used for obtaining reply scoring information of each channel, and the reply scoring information corresponds to parameters in feature sets of each idle house and service life information of each idle house one to one;
the historical record analysis unit is used for determining the authority degree of the channel according to the historical scoring records of the scoring channels;
the weight analysis and assignment unit is used for performing weight analysis on each parameter of the reply scoring information according to the reply scoring information and the channel authority degree to determine a parameter weight value;
the idle house scoring unit is used for scoring each idle house based on the parameter weight value, each idle house feature set and each idle house service life information, and determining a scoring result of each idle house;
and the clustering result optimizing unit is used for reclassifying the clustering results according to the scoring results of the idle houses.
Further, the hierarchical clustering execution unit further includes:
the characteristic parameter extraction unit is used for extracting characteristic parameters according to the characteristic set of each idle house;
the data classification execution unit is used for taking each data point in the characteristic parameters and the idle house service life information as a single class;
the Euclidean distance calculating unit is used for calculating the Euclidean distance between the two single classes;
and the calculation result processing unit is used for combining the two data points with the minimum Euclidean distance in all the data points to obtain a minimum average connection group, and repeating iteration until only one cluster containing all the data points exists.
Further, the feature fusion analysis module 14 further includes:
the characteristic set generating unit is used for acquiring a regional house characteristic set according to the regional house information;
the association characteristic determining unit is used for determining the area environment-house association characteristic according to the area environment information and the area house information;
the system comprises an associated feature traversing unit, a first feature fusion unit and a second feature fusion unit, wherein the associated feature traversing unit is used for traversing and comparing each feature in an idle house feature set with a regional environment-house associated feature in sequence to determine a first feature fusion result;
the characteristic traversal comparison unit is used for sequentially performing traversal comparison on each characteristic in the idle house characteristic set and the regional house characteristic set to determine a second characteristic fusion result;
and the fusion feature generation unit is used for taking the first feature fusion result as a primary fusion feature and taking the second feature fusion result as a secondary fusion feature to obtain feature fusion information.
Further, the classification label executing module 16 further includes:
the parameter weight reference unit is used for scoring the idle house characteristic set according to the parameter weight value to obtain an idle house characteristic score;
the fusion characteristic judgment unit is used for determining whether the fusion characteristics meet the fusion requirements according to the judgment result to obtain a fusion characteristic evaluation result;
and the inventory index calculating unit is used for calculating the inventory index of the farmhouse according to the idle house feature score and the fusion feature evaluation result.
Any one of the above methods or steps may be implemented by storing the computer instructions or programs in various non-limiting types of computer memory as computer instructions or programs that are recognized by various non-limiting types of computer processors.
Based on the above embodiments of the present invention, those skilled in the art should make any improvements and modifications to the present invention without departing from the principle of the present invention, and therefore, the present invention should fall into the protection scope of the present invention.
Claims (8)
1. A house classification system for idle agricultural room inventory, the system comprising:
the house position acquisition module is used for acquiring the idle house position information of the area to be analyzed;
the regional information acquisition module is used for acquiring regional house information and regional environment information according to the position information of the idle house;
the system comprises a characteristic extraction execution module, a characteristic extraction execution module and a characteristic analysis module, wherein the characteristic extraction execution module is used for obtaining image information of an idle room to be analyzed, and extracting the characteristics of the structure, the area and the main quality of a house of the idle room to be analyzed to obtain a characteristic set of the idle room;
the characteristic fusion analysis module is used for analyzing the fusion degree of the idle house characteristic set, the regional house information and the regional environment information to determine characteristic fusion information;
the analysis result judging module is used for judging whether the feature fusion information meets the feature fusion requirements of regional house information and regional environment information;
and the classification and marking execution module is used for determining the agricultural room inventory index according to the judgment result and the idle room feature set, and classifying and marking the idle room to be analyzed based on the agricultural room inventory index and the feature fusion information.
2. The system of claim 1, wherein the classification and labeling of the idle houses to be analyzed based on the farm house inventory index and the feature fusion information comprises the following steps:
the data entry execution unit is used for entering all the classified and labeled idle rooms into an idle room inventory according to the classification labels;
the house scheme association unit is used for performing inventory feature analysis on the idle rooms according to the classification labels, labeling inventory schemes and associating the inventory schemes with the corresponding idle rooms;
the constraint condition determining unit is used for obtaining user requirement information and determining constraint conditions based on the user requirement information;
and the information screening execution unit is used for utilizing the constraint conditions to construct a screening formula to screen the idle house and inventory scheme in the idle house inventory library so as to obtain the matched idle house information.
3. The system of claim 1, wherein the premises location acquisition module further comprises:
the idle information extraction unit is used for extracting all idle rooms in the area to be analyzed according to the idle room position information to obtain all idle room information of the area;
the image feature extraction unit is used for respectively carrying out image acquisition and feature extraction on all houses in all idle house information in the area to obtain feature sets of all idle houses;
the house age information acquisition unit is used for acquiring the service life information of each idle house;
the hierarchical clustering execution unit is used for clustering by using a multilevel clustering method based on the feature set of each idle house and the service life information of each idle house to obtain a clustering result;
and the clustering result application unit is used for classifying the idle houses according to the clustering result.
4. The system of claim 3, wherein each idle house is categorized according to said clustering result, and wherein the system further comprises:
a scoring channel input unit for setting a plurality of scoring channels and inputting the feature set of each idle house and the service life information of each idle house into the plurality of scoring channels;
a scoring information obtaining unit, configured to obtain reply scoring information of each channel, where the reply scoring information corresponds to parameters in the feature set of each idle house and the service life information of each idle house one to one;
the historical record analysis unit is used for determining the authority degree of the channel according to the historical scoring records of the plurality of scoring channels;
the weight analysis and assignment unit is used for performing weight analysis on each parameter of the reply scoring information according to the reply scoring information and the authority degree of the channel to determine a parameter weight value;
the idle house scoring unit is used for scoring each idle house based on the parameter weight value, each idle house feature set and each idle house service life information, and determining a scoring result of each idle house;
and the clustering result optimizing unit is used for reclassifying the clustering results according to the grading results of the idle houses.
5. The system of claim 3, wherein the clustering using a multilevel clustering method based on the feature set of each idle house and the age of each idle house to obtain a clustering result comprises:
the characteristic parameter extraction unit is used for extracting characteristic parameters according to the characteristic sets of the idle houses;
the data classification execution unit is used for taking each data point in the characteristic parameters and the idle house service life information as a single class;
the Euclidean distance calculating unit is used for calculating the Euclidean distance between the two single classes;
and the calculation result processing unit is used for combining the two data points with the minimum Euclidean distance in all the data points to obtain a minimum average connection group, and repeating iteration until only one cluster containing all the data points exists.
6. The system of claim 1, wherein performing a fusion analysis of the set of idle room characteristics with the regional premise information and the regional environment information to determine characteristic fusion information comprises:
the feature set generating unit is used for acquiring a regional house feature set according to the regional house information;
the association characteristic determining unit is used for determining the association characteristic between the regional environment and the house according to the regional environment information and the regional house information;
the associated feature traversing unit is used for sequentially traversing and comparing each feature in the idle house feature set with the regional environment-house associated features to determine a first feature fusion result;
the characteristic traversal comparison unit is used for sequentially performing traversal comparison on each characteristic in the idle house characteristic set and the regional house characteristic set to determine a second characteristic fusion result;
and the fusion feature generation unit is used for taking the first feature fusion result as a primary fusion feature and taking the second feature fusion result as a secondary fusion feature to obtain the feature fusion information.
7. The system of claim 4, wherein determining a farm house inventory index according to the judgment result and the idle house feature set, and classifying and labeling the idle houses to be analyzed based on the farm house inventory index and feature fusion information comprises:
the parameter weight reference unit is used for scoring the idle room feature set according to the parameter weight value to obtain an idle room feature score;
the fusion characteristic judgment unit is used for determining whether the fusion characteristics meet the fusion requirements according to the judgment result to obtain a fusion characteristic evaluation result;
and the inventory index calculating unit is used for calculating the agricultural house inventory index according to the idle house feature score and the fusion feature evaluation result.
8. A house classification method for idle agricultural house inventory, which is characterized by comprising the following steps:
collecting idle room position information of an area to be analyzed;
acquiring regional house information and regional environment information according to the position information of the idle house;
acquiring image information of an idle room to be analyzed, and extracting the characteristics of the building structure, the building area and the quality of a main building body from the image information of the idle room to be analyzed to acquire a characteristic set of the idle room;
performing fusion degree analysis on the idle room feature set, the regional house information and the regional environment information to determine feature fusion information;
judging whether the feature fusion information meets the feature fusion requirements of the regional house information and the regional environment information;
and determining a farm house inventory index according to the judgment result and the idle house feature set, and classifying and labeling the idle houses to be analyzed based on the farm house inventory index and the feature fusion information.
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| US20110075882A1 (en) * | 2009-09-29 | 2011-03-31 | Hitachi Software Engineering Co., Ltd. | Geospatial information creating system and geospatial information creating method |
| EP3798941A1 (en) * | 2018-05-23 | 2021-03-31 | NEC Corporation | Vacant house determination device, vacant house determination method, and recording medium |
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