CN117540113B - Geographic position information searching method and system - Google Patents
Geographic position information searching method and system Download PDFInfo
- Publication number
- CN117540113B CN117540113B CN202311592850.0A CN202311592850A CN117540113B CN 117540113 B CN117540113 B CN 117540113B CN 202311592850 A CN202311592850 A CN 202311592850A CN 117540113 B CN117540113 B CN 117540113B
- Authority
- CN
- China
- Prior art keywords
- place
- user
- accident
- location
- database
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 42
- 238000004458 analytical method Methods 0.000 claims abstract description 45
- 238000011156 evaluation Methods 0.000 claims description 39
- 238000004364 calculation method Methods 0.000 claims description 9
- 230000000007 visual effect Effects 0.000 claims description 6
- 230000000694 effects Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000007792 addition Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000002860 competitive effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9537—Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- Databases & Information Systems (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Computation (AREA)
- Evolutionary Biology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Bioinformatics & Computational Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention discloses a geographic position information searching method, a system, equipment and a storage medium, which relate to the technical field of information searching, and comprise the steps of user input information acquisition, position information acquisition, execution duration analysis, site safety information analysis and early warning prompt.
Description
Technical Field
The present invention relates to the field of information searching technologies, and in particular, to a geographic location information searching method, system, device, and storage medium.
Background
With the advent of the big data age, the search technology for geographical location information has matured, and many geographical location information searches have been in intense competition. In such a competitive large environment, the innovation of the search technology for well-processed information is the key and core of the system, which determines the trend of the search system trend of the geographic position information, so that the feasibility of the geographic position information system is very important to analyze.
The feasibility of the current geographic location information system is mainly analyzed by the current location of the user and the location of the searched destination and similar places, and obviously, the following problems exist in the analysis mode:
1. The current analysis of the geographic position information is mainly performed by the current position of the user and the distance of the geographic position information, and the accident occurrence situation in the area in the database of the target place of the user is not analyzed, so that the actual situation of the position information in the area in the database of the target place of the current user cannot be known more accurately, the comprehensiveness and the authenticity of the feasibility analysis process of the position information in the area in the database of the target place cannot be guaranteed, the referential property and the accuracy of the analysis result cannot be guaranteed, and reliable basis cannot be provided for updating and upgrading of the geographic position information system.
2. The current situation of accident occurrence in the area of the database of the frequent places of the user is not analyzed, the daily trip situation of the user cannot be truly displayed, and further the accuracy of the evaluation of the geographic position information system in the aspect of safety cannot be guaranteed, so that the early warning effect of the geographic position information system in the aspect of safety cannot be improved, and the safety trip rate of the user is reduced to a certain extent.
Disclosure of Invention
In view of the above-mentioned technical shortcomings, the present invention aims to provide a geographic location information searching method, system, device and storage medium.
In order to solve the technical problems, the invention adopts the following technical scheme: the present invention provides in a first aspect a geographical location information search method comprising the steps of: step one, obtaining user input information: acquiring information input by a user in a search box, and marking the information as keyword information input by the user, so as to acquire the longitude and latitude of each place corresponding to each item in the keyword information input by the user;
Step two, position information acquisition: acquiring position information corresponding to longitude and latitude of each similar place, longitude and latitude of a target place and longitude and latitude of each classified place in a database, recording the position information as position information of each similar place, position information of the target place and position information of each classified place, and carrying out map display on the position information of each similar place, the position information of the target place and the position information of each classified place by a visual display function;
step three, executing time length analysis: acquiring the corresponding completion time of map display of each similar place position information, target place position information and each classified place position information according to a preset program timing function, and marking the completion time as the search feedback time of the similar place, the search feedback time of the target place and the search feedback time of the classified place, so as to analyze and obtain a search feedback time evaluation coefficient of a user, and further judge the speed condition of the search feedback of the user;
Fourth, analyzing site safety information: the final location selected by the user is marked as a final target location of the user, the accident occurrence times and the accident levels of all accidents in a setting area of the final target location of the user are obtained in a database, the accident occurrence times and the accident levels of all accidents of the final location of the user are marked as the accident occurrence times and the accident levels of all accidents of the final location of the user, the final location accident assessment coefficient of the user is obtained through analysis, the accident occurrence times and the accident levels of all accidents in the setting area of all frequent locations of the user are obtained in the database, the accident occurrence times and the accident levels of all accidents of all frequent locations of the user are marked as the accident occurrence times and the accident levels of all frequent locations of the user, the frequent location accident assessment coefficient of the user is obtained through analysis, and then the safety condition of the target location of the user is judged;
step five, early warning prompting: and when the speed condition of search feedback or the safety condition of the final place of the user is poor, early warning prompt is carried out.
Preferably, the keyword information input by the user includes a place name, a place longitude and latitude, and a specific category.
Preferably, the acquiring the longitude and latitude of the location corresponding to each item in the keyword information input by the user specifically comprises the following steps: a1, when keyword information input by a user is a place name, acquiring each similar place corresponding to the place name from a database by using a preset fuzzy matching algorithm, and simultaneously extracting the place longitude and latitude corresponding to each similar place from the database and recording the place longitude and latitude as each similar place longitude and latitude;
a2, when the keyword information input by the user is the longitude and latitude of the location, recording the keyword information as the longitude and latitude of the target location;
A3, when the keyword information input by the user is the specific classification of the location, each location in the specific classification is acquired in the database, and meanwhile, the location longitude and latitude corresponding to each location are extracted in the database and recorded as the location longitude and latitude of each classification.
Preferably, the analysis obtains a search feedback duration evaluation coefficient of the user, and the specific analysis process is as follows: the search feedback time length of the similar place, the search feedback time length of the target place and the search feedback time length of the classified place are respectively marked as T 1、T2 and T 3 and are substituted into a calculation formulaAnd obtaining a search feedback time length evaluation coefficient alpha of the user, wherein T '1、T′2 and T' 3 are respectively the search feedback time length of the reference similar place, the search feedback time length of the reference target place and the search feedback time length of the reference classified place in the database, deltaT 1、ΔT2 and DeltaT 3 are respectively the search feedback time length of the similar place, the search feedback time length of the target place and the search feedback time length of the classified place in the database, and tau 1、τ2 and tau 3 are respectively weight factors corresponding to the search feedback time length of the similar place, the search feedback time length of the target place and the search feedback time length of the classified place in the database.
Preferably, the specific judging process is as follows: comparing the search feedback time length evaluation coefficient of the user with a search feedback time length evaluation coefficient threshold value in a database, and judging that the speed condition of the search feedback of the user is poor when the search feedback time length evaluation coefficient of the user is larger than or equal to the search feedback time length evaluation coefficient threshold value in the database, otherwise, judging that the speed condition of the search feedback of the user is good.
Preferably, the analysis obtains the final place accident assessment coefficient of the user, and the specific analysis process is as follows: the number of accidents at the final location of the user and the accident level of each accident at the final location are respectively recorded as X, Y i, i is the number corresponding to each accident at the final location, i=1, 2.
According to the calculation formulaObtaining a final place accident assessment coefficient lambda of the user, wherein X' is the number of times of accident occurrence of the reference final place in the database, deltaX is the number of times of accident occurrence of the final place allowed to float in the database, e is a natural constant, and sigma 1 and sigma 2 are weight factors corresponding to the number of times of accident occurrence of the final place and the accident level of the final place of the user in the database.
Preferably, the analysis obtains a constant ground accident assessment coefficient of the user, and the specific analysis process is as follows:
The accident number of each frequently-going place of the user and the accident level of each accident of each frequently-going place are respectively recorded as K j and P jl, j is the number corresponding to each frequently-going place of the user, j=1, 2..m, m is the total number of frequently-going places, and m is any integer greater than 2; l is the number corresponding to each accident at the frequent place, l=1, 2. B is the total number of accidents at the frequent places, and b is any integer greater than 2;
According to the calculation formula Deriving a constant-place accident assessment coefficient beta of the user, wherein K' is the number of times of occurrence of each constant-place accident of the reference user in the database, delta K is the number of times of occurrence of each constant-place accident of the user allowed to float in the database, e is a natural constant,AndThe number of times of accident occurrence of the frequently-going places of the user and the weight factors corresponding to the accident level of the frequently-going places are respectively given.
Preferably, the specific judging process is as follows: comparing the accident evaluation coefficient of the final place of the user with the accident evaluation coefficient of the frequently-going place of the user, and judging that the safety condition of the final place of the user is poor when the accident evaluation coefficient of the final place of the user is larger than or equal to the accident evaluation coefficient of the frequently-going place of the user, otherwise, judging that the safety condition of the final place of the user is good.
Preferably, the database comprises a location information database and a user information database, wherein the location information database takes longitude and latitude of a place as a main key, and other keys are place names, specific classifications, setting areas of places, the number of times of accident occurrence in the setting areas of places and the accident level of each accident respectively; the user information database takes the user ID as a main key and takes the longitude and latitude of the frequently-going place as an external key, and other keys are the place name, specific classification, the setting area of the place, the number of times of accident occurrence in the setting area of the place and the accident level of each accident respectively.
The present invention in a second aspect provides a geographical position information search system of a geographical position information search method, characterized by comprising: the user input information acquisition module is used for acquiring information input by a user in the search box, recording the information as keyword information input by the user, and further acquiring the longitude and latitude of the place corresponding to each item in the keyword information input by the user;
The position information acquisition module is used for acquiring position information corresponding to the longitude and latitude of each similar place, the longitude and latitude of the target place and the longitude and latitude of each classified place in the database, marking the position information as the position information of each similar place, the position information of the target place and the position information of each classified place, and displaying the position information of each similar place, the position information of the target place and the position information of each classified place in a map by a visual display function;
The execution time length analysis module is used for acquiring the corresponding completion time length of map display of the position information of each similar place, the position information of the target place and the position information of each classified place according to a preset program timing function, recording the completion time length as the search feedback time length of the similar place, the search feedback time length of the target place and the search feedback time length of the classified place, and further analyzing and obtaining a search feedback time length evaluation coefficient of a user so as to judge the speed condition of search feedback of the user;
The place safety information analysis module is used for marking the final place selected by the user as the final target place of the user, acquiring the accident occurrence times and the accident levels of all accidents in the setting area of the final target place of the user in the database, marking the accident occurrence times and the accident levels of all accidents of the final place of the user as the accident occurrence times and the accident levels of all accidents of the final place of the user, analyzing to obtain the final place accident assessment coefficient of the user, acquiring the accident occurrence times and the accident levels of all accidents in the setting area of all the frequently-going places of the user in the database, marking the accident occurrence times and the accident levels of all the accidents of all the frequently-going places of the user as the frequently-going place of the user, analyzing to obtain the frequently-going place accident assessment coefficient of the user, and further judging the safety condition of the target place of the user;
And the early warning terminal is used for carrying out early warning prompt when the speed condition of search feedback of the user or the safety condition of the final place are poor.
The invention has the beneficial effects that:
1. According to the geographic position information searching method, system, equipment and storage medium, the longitude and latitude are obtained through analyzing the keyword information input by the user, the geographic position information of each similar place searched by the user is further obtained, the accident situation of the final target place of the user and the accident situation of the place frequently visited by the user are analyzed, the problem of limitation in the development feasibility analysis process of the current geographic position information search in the aspect of safety is solved, the comprehensive and objective analysis of the feasibility of the geographic position information search in the aspect of safety is realized, the reliability and the authenticity of the analysis result of the geographic position information search in the aspect of safety are guaranteed, and further a reliable basis is provided for the targeted management and the balanced development of a subsequent geographic position information searching system.
2. The invention analyzes the accident occurrence situation in the area in the database of the target place of the user, thereby more accurately knowing the actual situation of the position information in the area in the database of the target place of the current user, simultaneously guaranteeing the comprehensiveness and the authenticity of the feasibility analysis process of the position information in the area in the database of the target place, further guaranteeing the referential property and the accuracy of the analysis result, and providing reliable basis for updating and upgrading the geographic position information system.
3. According to the method, the situation of the accident occurrence in the area of the frequently-going ground database of the user is analyzed, the daily trip situation of the user is truly displayed, and further the accuracy of the evaluation of the geographic position information system in the aspect of safety is guaranteed, so that the early warning effect of the geographic position information system in the aspect of safety is improved, and the safety trip rate of the user is improved to a certain extent.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of the steps of the method of the present invention.
FIG. 2 is a schematic diagram of the system structure of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the present invention provides a geographic location information searching method in a first aspect, which specifically includes the following steps: step one, obtaining user input information: acquiring information input by a user in a search box, and marking the information as keyword information input by the user, so as to acquire the longitude and latitude of each place corresponding to each item in the keyword information input by the user;
In one specific example, the keyword information input by the user includes a place name, a place longitude and latitude, and a specific category.
The specific classification is a category to which the location inputted by the user belongs, for example, a supermarket, a theater, a subway, and the like.
In another specific embodiment, the acquiring the longitude and latitude of the location corresponding to each item in the keyword information input by the user specifically includes the following steps: a1, when keyword information input by a user is a place name, acquiring each similar place corresponding to the place name from a database by using a preset fuzzy matching algorithm, and simultaneously extracting the place longitude and latitude corresponding to each similar place from the database and recording the place longitude and latitude as each similar place longitude and latitude;
a2, when the keyword information input by the user is the longitude and latitude of the location, recording the keyword information as the longitude and latitude of the target location;
A3, when the keyword information input by the user is the specific classification of the location, each location in the specific classification is acquired in the database, and meanwhile, the location longitude and latitude corresponding to each location are extracted in the database and recorded as the location longitude and latitude of each classification.
Step two, position information acquisition: acquiring position information corresponding to longitude and latitude of each similar place, longitude and latitude of a target place and longitude and latitude of each classified place in a database, recording the position information as position information of each similar place, position information of the target place and position information of each classified place, and carrying out map display on the position information of each similar place, the position information of the target place and the position information of each classified place by a visual display function;
step three, executing time length analysis: acquiring the corresponding completion time of map display of each similar place position information, target place position information and each classified place position information according to a preset program timing function, and marking the completion time as the search feedback time of the similar place, the search feedback time of the target place and the search feedback time of the classified place, so as to analyze and obtain a search feedback time evaluation coefficient of a user, and further judge the speed condition of the search feedback of the user;
In a specific example, the analysis obtains a search feedback duration evaluation coefficient of the user, and the specific analysis process is as follows: the search feedback time length of the similar place, the search feedback time length of the target place and the search feedback time length of the classified place are respectively marked as T 1、T2 and T 3 and are substituted into a calculation formula And obtaining a search feedback time length evaluation coefficient alpha of the user, wherein T '1、T′2 and T' 3 are respectively the search feedback time length of the reference similar place, the search feedback time length of the reference target place and the search feedback time length of the reference classified place in the database, deltaT 1、ΔT2 and DeltaT 3 are respectively the search feedback time length of the similar place, the search feedback time length of the target place and the search feedback time length of the classified place in the database, and tau 1、τ2 and tau 3 are respectively weight factors corresponding to the search feedback time length of the similar place, the search feedback time length of the target place and the search feedback time length of the classified place in the database.
Note that 0< τ 1<1,0<τ2<1,0<τ3 <1.
In another specific embodiment, the determining the speed status of the search feedback of the user specifically includes the following steps: comparing the search feedback time length evaluation coefficient of the user with a search feedback time length evaluation coefficient threshold value in a database, and judging that the speed condition of the search feedback of the user is poor when the search feedback time length evaluation coefficient of the user is larger than or equal to the search feedback time length evaluation coefficient threshold value in the database, otherwise, judging that the speed condition of the search feedback of the user is good.
Fourth, analyzing site safety information: the final location selected by the user is marked as a final target location of the user, the accident occurrence times and the accident levels of all accidents in a setting area of the final target location of the user are obtained in a database, the accident occurrence times and the accident levels of all accidents of the final location of the user are marked as the accident occurrence times and the accident levels of all accidents of the final location of the user, the final location accident assessment coefficient of the user is obtained through analysis, the accident occurrence times and the accident levels of all accidents in the setting area of all frequent locations of the user are obtained in the database, the accident occurrence times and the accident levels of all accidents of all frequent locations of the user are marked as the accident occurrence times and the accident levels of all frequent locations of the user, the frequent location accident assessment coefficient of the user is obtained through analysis, and then the safety condition of the target location of the user is judged;
in one specific example, the analysis obtains the final location accident assessment coefficient of the user, and the specific analysis process is as follows: the number of accidents at the final location of the user and the accident level of each accident at the final location are respectively recorded as X, Y i, i is the number corresponding to each accident at the final location, i=1, 2.
According to the calculation formulaObtaining a final place accident assessment coefficient lambda of the user, wherein X' is the number of times of accident occurrence of the reference final place in the database, deltaX is the number of times of accident occurrence of the final place allowed to float in the database, e is a natural constant, and sigma 1 and sigma 2 are weight factors corresponding to the number of times of accident occurrence of the final place and the accident level of the final place of the user in the database.
Note that 0< σ 1<1,0<σ2 <1.
The invention analyzes the accident occurrence situation in the area in the database of the target place of the user, thereby more accurately knowing the actual situation of the position information in the area in the database of the target place of the current user, simultaneously guaranteeing the comprehensiveness and the authenticity of the feasibility analysis process of the position information in the area in the database of the target place, further guaranteeing the referential property and the accuracy of the analysis result, and providing reliable basis for updating and upgrading the geographic position information system.
In another specific embodiment, the analysis results in a user's frequent accident assessment factor, and the specific analysis process is as follows: the accident number of each frequently-going place of the user and the accident level of each accident of each frequently-going place are respectively recorded as K j and P jl, j is the number corresponding to each frequently-going place of the user, j=1, 2..m, m is the total number of frequently-going places, and m is any integer greater than 2; l is the number corresponding to each accident at the frequent place, l=1, 2. B is the total number of accidents at the frequent places, and b is any integer greater than 2;
According to the calculation formula Deriving a constant-place accident assessment coefficient beta of the user, wherein K' is the number of times of occurrence of each constant-place accident of the reference user in the database, delta K is the number of times of occurrence of each constant-place accident of the user allowed to float in the database, e is a natural constant,AndThe number of times of accident occurrence of the frequently-going places of the user and the weight factors corresponding to the accident level of the frequently-going places are respectively given.
It should also be noted that,
According to the method, the situation of the accident occurrence in the area of the frequently-going ground database of the user is analyzed, the daily trip situation of the user is truly displayed, and further the accuracy of the evaluation of the geographic position information system in the aspect of safety is guaranteed, so that the early warning effect of the geographic position information system in the aspect of safety is improved, and the safety trip rate of the user is improved to a certain extent.
In still another specific embodiment, the determining the security condition of the target location of the user specifically includes the following steps: comparing the accident evaluation coefficient of the final place of the user with the accident evaluation coefficient of the frequently-going place of the user, and judging that the safety condition of the final place of the user is poor when the accident evaluation coefficient of the final place of the user is larger than or equal to the accident evaluation coefficient of the frequently-going place of the user, otherwise, judging that the safety condition of the final place of the user is good.
Step five, early warning prompting: and when the speed condition of search feedback or the safety condition of the final place of the user is poor, early warning prompt is carried out.
In a specific example, the database comprises a threshold database, a position information database and a user information database, wherein the position information database takes longitude and latitude of a place as a main key, and other keys are place names, specific classifications, setting areas of places, the number of times of accident occurrence in the setting areas of places and the accident level of each accident respectively; the user information database takes the user ID as a main key and takes the longitude and latitude of the frequently-going place as an external key, and other keys are the place name, specific classification, the setting area of the place, the number of times of accident occurrence in the setting area of the place and the accident level of each accident respectively.
Referring to fig. 2, in a second aspect, the present invention provides a geographic location information searching system of a geographic location information searching method, which is characterized by comprising:
The user input information acquisition module is used for acquiring information input by a user in the search box, recording the information as keyword information input by the user, and further acquiring the longitude and latitude of the place corresponding to each item in the keyword information input by the user;
The position information acquisition module is used for acquiring position information corresponding to the longitude and latitude of each similar place, the longitude and latitude of the target place and the longitude and latitude of each classified place in the database, marking the position information as the position information of each similar place, the position information of the target place and the position information of each classified place, and displaying the position information of each similar place, the position information of the target place and the position information of each classified place in a map by a visual display function;
The execution time length analysis module is used for acquiring the corresponding completion time length of map display of the position information of each similar place, the position information of the target place and the position information of each classified place according to a preset program timing function, recording the completion time length as the search feedback time length of the similar place, the search feedback time length of the target place and the search feedback time length of the classified place, and further analyzing and obtaining a search feedback time length evaluation coefficient of a user so as to judge the speed condition of search feedback of the user;
The place safety information analysis module is used for marking the final place selected by the user as the final target place of the user, acquiring the accident occurrence times and the accident levels of all accidents in the setting area of the final target place of the user in the database, marking the accident occurrence times and the accident levels of all accidents of the final place of the user as the accident occurrence times and the accident levels of all accidents of the final place of the user, analyzing to obtain the final place accident assessment coefficient of the user, acquiring the accident occurrence times and the accident levels of all accidents in the setting area of all the frequently-going places of the user in the database, marking the accident occurrence times and the accident levels of all the accidents of all the frequently-going places of the user as the frequently-going place of the user, analyzing to obtain the frequently-going place accident assessment coefficient of the user, and further judging the safety condition of the target place of the user;
And the early warning terminal is used for carrying out early warning prompt when the speed condition of search feedback of the user or the safety condition of the final place are poor.
According to the geographic position information searching method, system, equipment and storage medium, the longitude and latitude are obtained through analyzing the keyword information input by the user, the geographic position information of each similar place searched by the user is further obtained, the accident situation of the final target place of the user and the accident situation of the place frequently visited by the user are analyzed, the problem of limitation in the development feasibility analysis process of the current geographic position information search in the aspect of safety is solved, the comprehensive and objective analysis of the feasibility of the geographic position information search in the aspect of safety is realized, the reliability and the authenticity of the analysis result of the geographic position information search in the aspect of safety are guaranteed, and further a reliable basis is provided for the targeted management and the balanced development of a subsequent geographic position information searching system.
The foregoing is merely illustrative and explanatory of the principles of the invention, as various modifications and additions may be made to the specific embodiments described, or similar arrangements may be substituted by those skilled in the art, without departing from the principles of the invention or beyond the scope of the invention as defined in the description.
Claims (10)
1. A geographical location information search method, comprising:
Step one, obtaining user input information: acquiring information input by a user in a search box, and marking the information as keyword information input by the user, so as to acquire the longitude and latitude of each place corresponding to each item in the keyword information input by the user;
Step two, position information acquisition: acquiring position information corresponding to longitude and latitude of each similar place, longitude and latitude of a target place and longitude and latitude of each classified place in a database, recording the position information as position information of each similar place, position information of the target place and position information of each classified place, and carrying out map display on the position information of each similar place, the position information of the target place and the position information of each classified place by a visual display function;
step three, executing time length analysis: acquiring the corresponding completion time of map display of each similar place position information, target place position information and each classified place position information according to a preset program timing function, and marking the completion time as the search feedback time of the similar place, the search feedback time of the target place and the search feedback time of the classified place, so as to analyze and obtain a search feedback time evaluation coefficient of a user, and further judge the speed condition of the search feedback of the user;
Fourth, analyzing site safety information: the final location selected by the user is marked as a final target location of the user, the accident occurrence times and the accident levels of all accidents in a setting area of the final target location of the user are obtained in a database, the accident occurrence times and the accident levels of all accidents of the final location of the user are marked as the accident occurrence times and the accident levels of all accidents of the final location of the user, the final location accident assessment coefficient of the user is obtained through analysis, the accident occurrence times and the accident levels of all accidents in the setting area of all frequent locations of the user are obtained in the database, the accident occurrence times and the accident levels of all accidents of all frequent locations of the user are marked as the accident occurrence times and the accident levels of all frequent locations of the user, the frequent location accident assessment coefficient of the user is obtained through analysis, and then the safety condition of the target location of the user is judged;
step five, early warning prompting: and when the speed condition of search feedback or the safety condition of the final place of the user is poor, early warning prompt is carried out.
2. The geographical location information searching method of claim 1, wherein the keyword information input by the user includes a location name, a location longitude and latitude, and a specific category.
3. The geographical location information searching method according to claim 2, wherein the acquiring the longitude and latitude of the location corresponding to each item in the keyword information input by the user specifically comprises the following steps:
A1, when keyword information input by a user is a place name, acquiring each similar place corresponding to the place name from a database by using a preset fuzzy matching algorithm, and simultaneously extracting the place longitude and latitude corresponding to each similar place from the database and recording the place longitude and latitude as each similar place longitude and latitude;
a2, when the keyword information input by the user is the longitude and latitude of the location, recording the keyword information as the longitude and latitude of the target location;
A3, when the keyword information input by the user is the specific classification of the location, each location in the specific classification is acquired in the database, and meanwhile, the location longitude and latitude corresponding to each location are extracted in the database and recorded as the location longitude and latitude of each classification.
4. The geographical location information searching method according to claim 3, wherein the analysis obtains a search feedback duration evaluation coefficient of the user, and the specific analysis process is as follows:
The search feedback time length of the similar place, the search feedback time length of the target place and the search feedback time length of the classified place are respectively marked as T 1、T2 and T 3 and are substituted into a calculation formula And obtaining a search feedback time length evaluation coefficient alpha of the user, wherein T 1′、T′2 and T' 3 are respectively the search feedback time length of the reference similar place, the search feedback time length of the reference target place and the search feedback time length of the reference classified place in the database, deltaT 1、ΔT2 and DeltaT 3 are respectively the search feedback time length of the similar place, the search feedback time length of the target place and the search feedback time length of the classified place in the database, and tau 1、τ2 and tau 3 are respectively weight factors corresponding to the search feedback time length of the similar place, the search feedback time length of the target place and the search feedback time length of the classified place in the database.
5. The geographical location information searching method according to claim 4, wherein the determining the speed status of the search feedback of the user comprises the following specific determining process:
Comparing the search feedback time length evaluation coefficient of the user with a search feedback time length evaluation coefficient threshold value in a database, and judging that the speed condition of the search feedback of the user is poor when the search feedback time length evaluation coefficient of the user is larger than or equal to the search feedback time length evaluation coefficient threshold value in the database, otherwise, judging that the speed condition of the search feedback of the user is good.
6. The geographical location information searching method of claim 5, wherein the analyzing obtains a final location accident assessment coefficient of the user, and the specific analyzing process is as follows:
The number of accidents at the final location of the user and the accident level of each accident at the final location are respectively recorded as X, Y i, i is the number corresponding to each accident at the final location, i=1, 2.
According to the calculation formulaObtaining a final place accident assessment coefficient lambda of the user, wherein X' is the number of times of accident occurrence of the reference final place in the database, deltaX is the number of times of accident occurrence of the final place allowed to float in the database, e is a natural constant, and sigma 1 and sigma 2 are weight factors corresponding to the number of times of accident occurrence of the final place and the accident level of the final place of the user in the database.
7. The geographical location information searching method of claim 6, wherein the analyzing obtains a constant-going accident assessment coefficient of the user, and the specific analyzing process is as follows:
The accident number of each frequently-going place of the user and the accident level of each accident of each frequently-going place are respectively recorded as K j and P jl, j is the number corresponding to each frequently-going place of the user, j=1, 2..m, m is the total number of frequently-going places, and m is any integer greater than 2; l is the number corresponding to each accident at the frequent place, l=1, 2. B is the total number of accidents at the frequent places, and b is any integer greater than 2;
According to the calculation formula Deriving a constant-place accident assessment coefficient beta of the user, wherein K' is the number of times of occurrence of each constant-place accident of the reference user in the database, delta K is the number of times of occurrence of each constant-place accident of the user allowed to float in the database, e is a natural constant,AndThe number of times of accident occurrence of the frequently-going places of the user and the weight factors corresponding to the accident level of the frequently-going places are respectively given.
8. The geographical location information searching method of claim 7, wherein the determining the security of the target location of the user comprises the following specific determining process:
Comparing the accident evaluation coefficient of the final place of the user with the accident evaluation coefficient of the frequently-going place of the user, and judging that the safety condition of the final place of the user is poor when the accident evaluation coefficient of the final place of the user is larger than or equal to the accident evaluation coefficient of the frequently-going place of the user, otherwise, judging that the safety condition of the final place of the user is good.
9. The geographical location information searching method of claim 8, wherein the database comprises a location information database and a user information database, the location information database uses longitude and latitude of the location as a main key, and other keys are location name, specific classification, setting area of the location, number of incidents occurring in the setting area of the location and accident level of each incident, respectively; the user information database takes the user ID as a main key and takes the longitude and latitude of the frequently-going place as an external key, and other keys are the place name, specific classification, the setting area of the place, the number of times of accident occurrence in the setting area of the place and the accident level of each accident respectively.
10. A geographical location information search system performing the geographical location information search method of any one of claims 1-9, comprising:
The user input information acquisition module is used for acquiring information input by a user in the search box, recording the information as keyword information input by the user, and further acquiring the longitude and latitude of the place corresponding to each item in the keyword information input by the user;
The position information acquisition module is used for acquiring position information corresponding to the longitude and latitude of each similar place, the longitude and latitude of the target place and the longitude and latitude of each classified place in the database, marking the position information as the position information of each similar place, the position information of the target place and the position information of each classified place, and displaying the position information of each similar place, the position information of the target place and the position information of each classified place in a map by a visual display function;
The execution time length analysis module is used for acquiring the corresponding completion time length of map display of the position information of each similar place, the position information of the target place and the position information of each classified place according to a preset program timing function, recording the completion time length as the search feedback time length of the similar place, the search feedback time length of the target place and the search feedback time length of the classified place, and further analyzing and obtaining a search feedback time length evaluation coefficient of a user so as to judge the speed condition of search feedback of the user;
The place safety information analysis module is used for marking the final place selected by the user as the final target place of the user, acquiring the accident occurrence times and the accident levels of all accidents in the setting area of the final target place of the user in the database, marking the accident occurrence times and the accident levels of all accidents of the final place of the user as the accident occurrence times and the accident levels of all accidents of the final place of the user, analyzing to obtain the final place accident assessment coefficient of the user, acquiring the accident occurrence times and the accident levels of all accidents in the setting area of all the frequently-going places of the user in the database, marking the accident occurrence times and the accident levels of all the accidents of all the frequently-going places of the user as the frequently-going place of the user, analyzing to obtain the frequently-going place accident assessment coefficient of the user, and further judging the safety condition of the target place of the user;
And the early warning terminal is used for carrying out early warning prompt when the speed condition of search feedback of the user or the safety condition of the final place are poor.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202311592850.0A CN117540113B (en) | 2023-11-27 | 2023-11-27 | Geographic position information searching method and system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202311592850.0A CN117540113B (en) | 2023-11-27 | 2023-11-27 | Geographic position information searching method and system |
Publications (2)
Publication Number | Publication Date |
---|---|
CN117540113A CN117540113A (en) | 2024-02-09 |
CN117540113B true CN117540113B (en) | 2024-08-02 |
Family
ID=89791578
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202311592850.0A Active CN117540113B (en) | 2023-11-27 | 2023-11-27 | Geographic position information searching method and system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN117540113B (en) |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102546978A (en) * | 2010-12-30 | 2012-07-04 | 上海博泰悦臻电子设备制造有限公司 | Call center and processing method of call center for target point search result as well as search system for target point |
CN110516024A (en) * | 2019-08-30 | 2019-11-29 | 百度在线网络技术(北京)有限公司 | Map search result shows method, apparatus, equipment and storage medium |
Family Cites Families (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2021257057A1 (en) * | 2020-06-16 | 2021-12-23 | Google Llc | Formulated query on portable device |
CN115687810A (en) * | 2021-07-29 | 2023-02-03 | 华为技术有限公司 | Webpage searching method and device and related equipment |
-
2023
- 2023-11-27 CN CN202311592850.0A patent/CN117540113B/en active Active
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102546978A (en) * | 2010-12-30 | 2012-07-04 | 上海博泰悦臻电子设备制造有限公司 | Call center and processing method of call center for target point search result as well as search system for target point |
CN110516024A (en) * | 2019-08-30 | 2019-11-29 | 百度在线网络技术(北京)有限公司 | Map search result shows method, apparatus, equipment and storage medium |
Also Published As
Publication number | Publication date |
---|---|
CN117540113A (en) | 2024-02-09 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US20200081908A1 (en) | Internet text mining-based method and apparatus for judging validity of point of interest | |
CN101894134B (en) | Spatial layout-based fishing webpage detection and implementation method | |
US20160162512A1 (en) | Method for the Creation of Databases of Events Having a Mediatic Echo in the Internet | |
CN107292417B (en) | Regional heavy pollution discrimination and forecast method and device based on heavy pollution sequence case library | |
CN103853738A (en) | Identification method for webpage information related region | |
US20190266182A1 (en) | Information retrieval apparatus, information retrieval system, and information retrieval method | |
CN103049532A (en) | Method for creating knowledge base engine on basis of sudden event emergency management and method for inquiring knowledge base engine | |
CN113722478B (en) | Multi-dimensional feature fusion similar event calculation method and system and electronic equipment | |
CN109299469B (en) | Method for identifying complex address in long text | |
CN103198072B (en) | Method and device is recommended in a kind of excavation of popular search word | |
CN114510566B (en) | Method and system for mining, classifying and analyzing hotword based on worksheet | |
CN113449111B (en) | Social governance hot topic automatic identification method based on time-space semantic knowledge migration | |
CN117455237A (en) | Road traffic accident risk prediction method based on multi-source data | |
CN108304411A (en) | The method for recognizing semantics and device of geographical location sentence | |
CN116720098A (en) | Abnormal behavior sensitive student behavior time sequence modeling and academic early warning method | |
CN117172554A (en) | Icing disaster risk prediction method, device, equipment and storage medium | |
CN112818668B (en) | Meteorological disaster data semantic recognition analysis method and system | |
CN112015937B (en) | Picture geographic positioning method and system | |
CN116384844B (en) | Decision method and device based on geographic information cloud platform | |
CN117540113B (en) | Geographic position information searching method and system | |
CN110232160B (en) | Method and device for detecting interest point transition event and storage medium | |
CN113657726B (en) | Personnel risk analysis method based on random forest | |
CN104636636A (en) | Protein remote homology detecting method and device | |
CN118277723B (en) | Data center-based learning data statistical analysis method and related device | |
CN111914538A (en) | Intelligent space matching method and system for channel announcement information |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |