Network regulation business district system

Abstract

The invention discloses a network regulation business district system which comprises a business district information management module, a point location acquisition and analysis module, a project progress tracking module, a consultation module and a safety management module. On the basis of the GIS technology, daily maintenance is carried out on the business districts through operations such as newly adding and updating, different labels are set for different business districts so as to facilitate query, evaluation analysis is carried out on the business districts through multiple aspects such as health indexes and value scores of the business districts, and the resource optimization efficiency of the business districts is improved.

Description

Technical Field

[0001] The present invention relates to the field of data management and processing technology, and more specifically, to a network planning and business district system. Background Art

[0002] With the acceleration of urbanization, the planning and management of business districts have gradually become core issues in urban development and commercial operations. Traditional business district planning mainly relies on manual research, static geographic data and empirical judgment, and suffers from problems such as data fragmentation and the inability to promptly alert business district health issues. Summary of the Invention

[0003] In order to solve at least one of the above technical problems, the purpose of the present invention is to provide a network business district planning system, which is based on GIS technology, performs daily maintenance on business districts through operations such as adding and updating, and sets different tags for different business districts to facilitate query. The business district is then evaluated and analyzed through multiple aspects such as the health index and value score of the business district, thereby promoting the resource optimization efficiency of the business district.

[0004] The present invention provides a network planning and business district system, comprising: a business district information management module, a point collection and analysis module, a project progress tracking module, a consulting module and a security management module;

[0005] The business district information management module is used to input or update the basic information of the business district and set a label for the business district according to the basic information of the business district;

[0006] The point collection and analysis module collects data on stores in the business district based on GIS technology, evaluates the business district based on the collected data, obtains the value score of the corresponding business district, and classifies the business district according to the value score;

[0007] The project progress tracking module is used to monitor the new business district projects under development in real time;

[0008] The consulting module is used to query the business circle and laws of the access terminal;

[0009] The security management module is used to encrypt the business district data and set the access rights of the access terminal.

[0010] In this solution, the business district information management module specifically includes: an input or update unit and a label unit;

[0011] The input or update unit is used to input or update the basic information of the business district;

[0012] The label unit is used to set a corresponding business district label according to the basic information of the business district.

[0013] In this solution, the step of setting a corresponding business district label based on the basic information of the business district specifically includes:

[0014] Extract store information from the basic information of the business district;

[0015] According to the store information, get the store's business type and business value;

[0016] Determine the label of the corresponding store based on the store's business type;

[0017] Determine the business score of the corresponding store based on the preset business value range within which the store's business value falls;

[0018] Traverse the shops in the entire business district, accumulate the business ratings of shops with the same type of label, and obtain the total business rating of shops with the same type of label;

[0019] When the total business score of stores with the same type of label is greater than the preset business score threshold, the corresponding label will be set as the label of the business district.

[0020] In this solution, the business district information management module is also used to:

[0021] Extract basic information about the business district, including the stable value of pedestrian flow, business turnover rate, and complaint resolution rate;

[0022] Multiply the stable value of human flow by the corresponding weight coefficient to obtain the human flow weight value;

[0023] Divide the weight coefficient corresponding to the merchant turnover rate by the corresponding merchant turnover rate to obtain the merchant turnover weight value;

[0024] Multiply the complaint resolution rate by the corresponding weight coefficient to obtain the complaint weight value;

[0025] The health index value of the corresponding business district is obtained by adding up the weight values ​​of foot traffic, business turnover, and complaints.

[0026] If the health index value of the corresponding business district is less than or equal to the preset health index threshold, a warning message is triggered.

[0027] In this solution, the point collection and analysis module specifically includes: a store data collection and preprocessing unit, a value assessment unit, and a business district classification unit;

[0028] The store data collection and preprocessing unit collects data from stores in the business district based on GIS technology to obtain initial store data, and then preprocesses the initial store data to obtain preprocessed store data;

[0029] The value assessment unit is used to perform a comprehensive analysis on the pre-processed store data to obtain a value score of the business district;

[0030] The business district grading unit is used to grade the value ratings of the business district to obtain the grade of the business district.

[0031] In this solution, the steps of obtaining the value score of the business district specifically include:

[0032] Extract indicators and corresponding indicator values ​​from business district data;

[0033] Normalize the index values ​​in the business district data to obtain corresponding normalized index values;

[0034] Multiply the normalized indicator value by the weight coefficient of the corresponding indicator to obtain the value score of the corresponding indicator;

[0035] The value score of all indicators is accumulated to obtain the value score of the corresponding business district.

[0036] In this solution, after obtaining the corresponding normalized index value, the following steps are further included:

[0037] Get historical data information of all business districts;

[0038] Extract the historical normalized index value of the i-th index from the historical data information of all business districts;

[0039] Arrange the historical normalized index values ​​of the i-th index in ascending order to form a historical normalized index value set;

[0040] Divide the historical normalized index value set into m intervals, and count the number of historical normalized index values ​​in each interval f k ;

[0041] Then the historical normalized index value distribution probability of the corresponding interval is Where n is the number of all business districts;

[0042] According to the normalized index value of the current business district, determine the entropy value of the i-th index of the current business district;

[0043] Normalize the entropy value of the i-th indicator of the current business district to obtain the normalized entropy value of the i-th indicator of the current business district;

[0044] According to the normalized entropy value of the i-th indicator of the current business district, the weight coefficient of the i-th indicator of the current business district is obtained, and its formula is: where w i Represents the weight coefficient of the i-th indicator of the current business district, H′ i Represents the normalized entropy value of the i-th indicator of the current business district; H′ i―j It represents the normalized entropy value of the i-th indicator in the j-th business district.

[0045] In this solution, the project progress tracking module is also used to:

[0046] Extract monitoring information of new commercial district projects that are under normal development;

[0047] Determine the actual completion volume of the current project based on the monitoring information of the new commercial district projects that are under normal development;

[0048] Subtract the current project's actual completion amount from the current time's planned completion amount to get the project progress deviation value;

[0049] Divide the project progress deviation value by the planned completion amount at the current time to obtain the project progress deviation ratio;

[0050] If the project progress deviation ratio is greater than or equal to the preset deviation threshold, a project progress deviation warning message is triggered.

[0051] The present invention discloses a network business district planning system, which includes a business district information management module, a point collection and analysis module, a project progress tracking module, a consulting module and a security management module. Based on GIS technology, the present invention performs daily maintenance on business districts through operations such as adding and updating, and sets different tags for different business districts to facilitate query. The business districts are then evaluated and analyzed through multiple aspects such as the health index and value score of the business districts, thereby promoting the resource optimization efficiency of the business districts. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 A block diagram of a network planning and business district system of the present invention is shown. DETAILED DESCRIPTION

[0053] In order to more clearly understand the above-mentioned objects, features and advantages of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that, in the absence of conflict, the embodiments of the present application and the features therein can be combined with each other.

[0054] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the scope of protection of the present invention is not limited to the specific embodiments disclosed below.

[0055] Figure 1 A block diagram of a network planning and business district system of the present invention is shown.

[0056] like Figure 1 As shown, the present invention discloses a network planning and business district system, including: a business district information management module, a point collection and analysis module, a project progress tracking module, a consulting module and a security management module;

[0057] The business district information management module is used to input or update the basic information of the business district and set a label for the business district according to the basic information of the business district;

[0058] The point collection and analysis module collects data on stores in the business district based on GIS technology, evaluates the business district based on the collected data, obtains the value score of the corresponding business district, and classifies the business district according to the value score;

[0059] The project progress tracking module is used to monitor the new business district projects under development in real time;

[0060] The consulting module is used to query the business circle and laws of the access terminal;

[0061] The security management module is used to encrypt the business district data and set the access rights of the access terminal.

[0062] It should be noted that the basic information of the business district in this embodiment includes information about stores in the business district, its geographical location, size, traffic conditions, etc., providing basic data support for the development and operation of the business district. The GIS is a Geographic Information System. The access terminal can query and access the business district through tags in the consultation module, and can also query information such as the hi, area, rental price, and rental status of stores in the business district, which is convenient for investors and merchants to query and select. It also provides legal and policy consulting services on leasing and other aspects to the access user terminal to help the access user avoid risks. The security management module sets corresponding access rights according to the responsibilities of different users to ensure the security of the system and the confidentiality of information.

[0063] According to an embodiment of the present invention, the business district information management module specifically includes: an input or update unit and a label unit;

[0064] The input or update unit is used to input or update the basic information of the business district;

[0065] The label unit is used to set a corresponding business district label according to the basic information of the business district.

[0066] According to an embodiment of the present invention, the step of setting a corresponding business district label according to the basic information of the business district specifically includes:

[0067] Extract store information from the basic information of the business district;

[0068] According to the store information, get the store's business type and business value;

[0069] Determine the label of the corresponding store based on the store's business type;

[0070] Determine the business score of the corresponding store based on the preset business value range within which the store's business value falls;

[0071] Traverse the shops in the entire business district, accumulate the business ratings of shops with the same type of label, and obtain the total business rating of shops with the same type of label;

[0072] When the total business score of stores with the same type of label is greater than the preset business score threshold, the corresponding label will be set as the label of the business district.

[0073] It should be noted that the business type of the store is set according to different classification methods. For example, according to the main business, it can be divided into catering industry, retail industry, etc.; the business value of the store is divided into multiple business value ranges to obtain a preset business value range, and each preset business value range corresponds to a business score value, and the higher the preset business value range, the larger the corresponding business score value.

[0074] According to an embodiment of the present invention, the business district information management module is further configured to:

[0075] Extract basic information about the business district, including the stable value of pedestrian flow, business turnover rate, and complaint resolution rate;

[0076] Multiply the stable value of human flow by the corresponding weight coefficient to obtain the human flow weight value;

[0077] Divide the weight coefficient corresponding to the merchant turnover rate by the corresponding merchant turnover rate to obtain the merchant turnover weight value;

[0078] Multiply the complaint resolution rate by the corresponding weight coefficient to obtain the complaint weight value;

[0079] The health index value of the corresponding business district is obtained by adding up the weight values ​​of foot traffic, business turnover, and complaints.

[0080] If the health index value of the corresponding business district is less than or equal to the preset health index threshold, a warning message is triggered.

[0081] It should be noted that the basic information of the business district within a preset time period is used as the original data, the daily flow of people in the business district in the original data is extracted, and a flow set is constructed. The flow of people in the flow set is arranged in order from small to large, and the middle flow of people is taken according to the preset percentage. For example, if the preset percentage is 80% and the preset time period is 10 days, 10*80% of the flow of people will be extracted from the middle. If there is a decimal in the number, it will be rounded up to one digit; the flow of people extracted according to the preset percentage is averaged to obtain the average flow of people, and then the average flow of people is divided by the maximum flow of people in the flow set to obtain the stable flow of people in the corresponding business district; the number of businesses replaced in the business district within the preset time period and the total number of businesses existing in the preset time period are extracted, and the number of businesses replaced in the preset time period is divided by the total number of businesses existing in the preset time period to obtain the business turnover rate of the corresponding business district; the complaint resolution rate is the number of times the stores in the business district handle complaint incidents within the preset time period divided by the total number of complaints, and the determination of the handling of complaint incidents is confirmed by the signature of the complaint end.

[0082] According to an embodiment of the present invention, the point collection and analysis module specifically includes: a store data collection and preprocessing unit, a value assessment unit and a business district classification unit;

[0083] The store data collection and preprocessing unit collects data from stores in the business district based on GIS technology to obtain initial store data, and then preprocesses the initial store data to obtain preprocessed store data;

[0084] The value assessment unit is used to perform a comprehensive analysis on the pre-processed store data to obtain a value score of the business district;

[0085] The business district grading unit is used to grade the value ratings of the business district to obtain the grade of the business district.

[0086] According to an embodiment of the present invention, the step of obtaining the value score of the business district specifically includes:

[0087] Extract indicators and corresponding indicator values ​​from business district data;

[0088] Normalize the index values ​​in the business district data to obtain corresponding normalized index values;

[0089] Multiply the normalized indicator value by the weight coefficient of the corresponding indicator to obtain the value score of the corresponding indicator;

[0090] The value score of all indicators is accumulated to obtain the value score of the corresponding business district.

[0091] According to an embodiment of the present invention, after obtaining the corresponding normalized index value, the method further includes:

[0092] Get historical data information of all business districts;

[0093] Extract the historical normalized index value of the i-th index from the historical data information of all business districts;

[0094] Arrange the historical normalized index values ​​of the i-th index in ascending order to form a historical normalized index value set;

[0095] Divide the historical normalized index value set into m intervals, and count the number of historical normalized index values ​​in each interval f k ;

[0096] Then the historical normalized index value distribution probability of the corresponding interval is Where n is the number of all business districts;

[0097] According to the normalized index value of the current business district, determine the entropy value of the i-th index of the current business district;

[0098] Normalize the entropy value of the i-th indicator of the current business district to obtain the normalized entropy value of the i-th indicator of the current business district;

[0099] According to the normalized entropy value of the i-th indicator of the current business district, the weight coefficient of the i-th indicator of the current business district is obtained, and its formula is: where w i Represents the weight coefficient of the i-th indicator of the current business district, H′ i Represents the normalized entropy value of the i-th indicator of the current business district; H′ i―j It represents the normalized entropy value of the i-th indicator in the j-th business district.

[0100] It should be noted that the maximum index value of the i-th indicator in all business district data is extracted, and then the index value of the i-th indicator in the current business district data is divided by the corresponding maximum index value to obtain the normalized index value of the i-th indicator in the current business district data; for example, the business district is divided into four levels, when the score is less than 50 points, it is set to C level; when the score is greater than or equal to 50 points and less than 70 points, it is set to B level; when the score is greater than or equal to 70 points and less than 90 points, it is set to A level; when the score is greater than or equal to 90 points, it is set to S level; visiting users can query the business district by level; the entropy value of the i-th indicator of the current business district is where k∈m; Among them (H i ) max It represents the maximum entropy value of the i-th indicator in all business districts.

[0101] According to an embodiment of the present invention, the project progress tracking module is further configured to:

[0102] Extract monitoring information of new commercial district projects that are under normal development;

[0103] Determine the actual completion volume of the current project based on the monitoring information of the new commercial district projects that are under normal development;

[0104] Subtract the current project's actual completion amount from the current time's planned completion amount to get the project progress deviation value;

[0105] Divide the project progress deviation value by the planned completion amount at the current time to obtain the project progress deviation ratio;

[0106] If the project progress deviation ratio is greater than or equal to the preset deviation threshold, a project progress deviation warning message is triggered.

[0107] It should be noted that when there is a new business district project development, the new business district project development is monitored in real time to promote the completion of the new business district project.

[0108] The present invention discloses a network business district planning system, which includes a business district information management module, a point collection and analysis module, a project progress tracking module, a consulting module and a security management module. Based on GIS technology, the present invention performs daily maintenance on business districts through operations such as adding and updating, and sets different tags for different business districts to facilitate query. The business districts are then evaluated and analyzed through multiple aspects such as the health index and value score of the business districts, thereby promoting the resource optimization efficiency of the business districts.

[0109] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0110] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed across multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the scheme of this embodiment.

[0111] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0112] Those skilled in the art will appreciate that all or part of the steps of the above-mentioned method embodiments may be implemented by hardware associated with program instructions, and the aforementioned program may be stored in a computer-readable storage medium. When the program is executed, the program executes the steps of the above-mentioned method embodiments. The aforementioned storage medium includes various media that can store program codes, such as mobile storage devices, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical disks.

[0113] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a number of instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

Claims

1. A network planning and business district system, characterized in that: include: Business district information management module, location collection and analysis module, project progress tracking module, consulting module and safety management module; The business district information management module is used to input or update the basic information of the business district and set a label for the business district according to the basic information of the business district; The point collection and analysis module collects data on stores in the business district based on GIS technology, evaluates the business district based on the collected data, obtains the value score of the corresponding business district, and classifies the business district according to the value score; The project progress tracking module is used to monitor the new business district projects under development in real time; The consulting module is used to query the business circle and laws of the access terminal; The security management module is used to encrypt the business district data and set the access rights of the access terminal.

2. A network planning and business district system according to claim 1, characterized in that: The business district information management module specifically includes: an input or update unit and a label unit; The input or update unit is used to input or update the basic information of the business district; The label unit is used to set a corresponding business district label according to the basic information of the business district.

3. A network planning and business district system according to claim 2, characterized in that: The step of setting a corresponding business district label according to the basic information of the business district specifically includes: Extract store information from the basic information of the business district; According to the store information, get the store's business type and business value; Determine the label of the corresponding store based on the store's business type; Determine the business score of the corresponding store based on the preset business value range within which the store's business value falls; Traverse the shops in the entire business district, accumulate the business ratings of shops with the same type of label, and obtain the total business rating of shops with the same type of label; When the total business score of stores with the same type of label is greater than the preset business score threshold, the corresponding label will be set as the label of the business district.

4. A network planning and business district system according to claim 1, characterized in that: The business district information management module is also used to: Extract basic information about the business district, including the stable value of pedestrian flow, business turnover rate, and complaint resolution rate; Multiply the stable value of human flow by the corresponding weight coefficient to obtain the human flow weight value; Divide the weight coefficient corresponding to the merchant turnover rate by the corresponding merchant turnover rate to obtain the merchant turnover weight value; Multiply the complaint resolution rate by the corresponding weight coefficient to obtain the complaint weight value; The health index value of the corresponding business district is obtained by adding up the weight values ​​of foot traffic, business turnover, and complaints. If the health index value of the corresponding business district is less than or equal to the preset health index threshold, a warning message is triggered.

5. A network planning and business district system according to claim 1, characterized in that: The point collection and analysis module specifically includes: a store data collection and preprocessing unit, a value assessment unit, and a business district classification unit; The store data collection and preprocessing unit collects data from stores in the business district based on GIS technology to obtain initial store data, and then preprocesses the initial store data to obtain preprocessed store data; The value assessment unit is used to perform a comprehensive analysis on the pre-processed store data to obtain a value score of the business district; The business district grading unit is used to grade the value ratings of the business district to obtain the grade of the business district.

6. A network planning and business district system according to claim 5, characterized in that: The step of obtaining the value score of the business district specifically includes: Extract indicators and corresponding indicator values ​​from business district data; Normalize the index values ​​in the business district data to obtain corresponding normalized index values; Multiply the normalized indicator value by the weight coefficient of the corresponding indicator to obtain the value score of the corresponding indicator; The value score of all indicators is accumulated to obtain the value score of the corresponding business district.

7. A network planning and business district system according to claim 6, characterized in that: After obtaining the corresponding normalized index value, the method further includes: Get historical data information of all business districts; Extract the historical normalized index value of the i-th index from the historical data information of all business districts; Arrange the historical normalized index values ​​of the i-th index in ascending order to form a historical normalized index value set; Divide the historical normalized index value set into m intervals, and count the number of historical normalized index values ​​in each interval f k ; Then the historical normalized index value distribution probability of the corresponding interval is Where n is the number of all business districts; According to the normalized index value of the current business district, determine the entropy value of the i-th index of the current business district; Normalize the entropy value of the i-th indicator of the current business district to obtain the normalized entropy value of the i-th indicator of the current business district; According to the normalized entropy value of the i-th indicator of the current business district, the weight coefficient of the i-th indicator of the current business district is obtained, and its formula is: where w i Represents the weight coefficient of the i-th indicator of the current business district, H′ i Represents the normalized entropy value of the i-th indicator of the current business district; H′ i―j It represents the normalized entropy value of the i-th indicator in the j-th business district.

8. A network planning and business district system according to claim 1, characterized in that: The project progress tracking module is also used to: Extract monitoring information of new commercial district projects that are under normal development; Determine the actual completion volume of the current project based on the monitoring information of the new commercial district projects that are under normal development; Subtract the current project's actual completion amount from the current time's planned completion amount to get the project progress deviation value; Divide the project progress deviation value by the planned completion amount at the current time to obtain the project progress deviation ratio; If the project progress deviation ratio is greater than or equal to the preset deviation threshold, a project progress deviation warning message is triggered.

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