Multi-source data integration method and system based on geographic information

Abstract

The invention relates to the technical field of data processing, in particular to a multi-source data integration method and system based on geographic information, and the system comprises a control terminal which is a main control terminal of the system and is used for sending an execution command; the region selection module is used for selecting a data acquisition region of the system operation service; the receiving module is used for receiving and acquiring a data acquisition demand of a user; the recording module is used for storing a selected target partition of a partition under a data acquisition area corresponding to a user data acquisition demand; according to the invention, the data content existing in the network can be effectively divided and managed according to the geographical location information, so that when a user sends a data acquisition demand, a source area for user data acquisition is provided, the data acquisition demand of the user can be searched and acquired in the network more accurately, and the user experience is improved. In addition, after the data corresponding to the user data acquisition demand is acquired, the data content can be further integrated and processed.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a multi-source data integration method and system based on geographic information. Background Art

[0002] Multi-source data refers to data sets from different sources. People search on the Internet based on the data content they need to obtain the required data content. This method is currently more commonly used, allowing people to establish communication connections with the external environment through the same network, so that they can understand the real-time or past and future events in the external environment without leaving their homes.

[0003] However, this data retrieval method also has certain drawbacks. People often search the Internet based on the data content they need, and most of the data provided on the Internet are the most popular and similar data content, which results in the existence of data content required by users on the Internet. Users capture the required data content through retrieval, but the required data content is seriously delayed and cannot be discovered by users. Summary of the invention

[0004] Technical issues solved

[0005] In view of the above-mentioned shortcomings of the prior art, the present invention provides a multi-source data integration method and system based on geographic information, which solves the technical problems raised in the above-mentioned background technology.

[0006] Technical Solution

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0008] In a first aspect, a multi-source data integration system based on geographic information comprises:

[0009] The control terminal is the main control terminal of the system and is used to issue execution commands;

[0010] The region selection module is used to select the data acquisition area for the system operation service;

[0011] A receiving module, used to receive and obtain the data collection requirements of the user;

[0012] A recording module, used to store the selected target partition under the data acquisition area corresponding to the user's data collection requirements;

[0013] A logic creation module is used to read the data acquisition partition corresponding to the data acquisition requirements stored in the recording module, and to set the data acquisition partition logic matching the data acquisition requirements with reference to the data acquisition partition corresponding to the data acquisition requirements;

[0014] Keyword editing module, used to edit characteristic keywords of collected data corresponding to data collection requirements;

[0015] A weight calculation module is used to obtain the data corresponding to the user data collection requirements collected by the system in the data acquisition partition, and calculate the weight value of the data corresponding to the user data collection requirements with reference to the corresponding characteristic keywords of the collected data in the keyword editing module;

[0016] The integration module is used to obtain the operation results of the weight calculation module, and to distinguish, discard and package the data according to the data weight values ​​corresponding to the user's data collection requirements.

[0017] Furthermore, the region selection module is provided with submodules at the lower level, including:

[0018] An analysis unit, used for analyzing the regional attributes of the data acquisition region selected by the region selection module;

[0019] A division unit is used to obtain the regional attributes of the data acquisition area obtained by the analysis unit, and to divide the data acquisition area into zones with reference to the regional attributes;

[0020] The regional attribute analysis logic run by the analysis unit is manually input by the user end at the control terminal in the system operation initialization state, and the regional attribute analysis logic of the analysis unit is ≥1.

[0021] Furthermore, the receiving module is internally provided with submodules, including:

[0022] An extraction unit, used to extract the data collection demand characteristics of the user received and acquired by the receiving module;

[0023] Among them, the data collection demand characteristics include: the technical field of the collected data source, the corresponding source group of the collected data, the application scenario of the collected data, and the time threshold for the generation of the collected data.

[0024] Furthermore, after receiving the user's data collection requirements, the receiving module synchronously obtains the partition area divided by the division unit for the data acquisition area and sends it to the control terminal. The user selects the partition area on the control terminal. After the user completes the selection, the extraction unit receives the partition area selected by the user on the control terminal in the system, and packages it with the extracted data collection requirement feature data and sends it to the recording module for storage.

[0025] Furthermore, the logic creation module is provided with submodules at the lower level, including:

[0026] An identification unit, which is used to identify whether the data collection requirement received and obtained by the receiving module is the data collection requirement of the data acquisition partition configured in the logic creation module;

[0027] Among them, the identification unit starts to run synchronously with the receiving module after the receiving module runs for the second time, and the identification unit runs before the receiving module. When the running result of the identification unit is no, it triggers the jump control of the receiving module to run. When the running result of the identification unit is yes, the recording module is skipped to obtain the running logic from the logic creation module to obtain the data acquisition partition corresponding to the data collection requirements.

[0028] Furthermore, the characteristic keywords edited in the keyword editing module are manually edited and input by the user, and the characteristic keywords are configured in the data collection requirement characteristics according to the user settings;

[0029] After the logic creation module is completed, the system collects data in the data acquisition partition according to the user's data collection requirements and the selected data acquisition partition.

[0030] Furthermore, the data weight value calculation result obtained by the operation of the weight calculation module is synchronously fed back to the user end. After the user end sets the data selection interval for the weight value, the weight calculation module sends it to the integration module. The integration module distinguishes, discards, and packages the data according to the data selection interval.

[0031] Furthermore, when the weight calculation module is running, similar keywords are captured and applied according to the characteristic keywords edited in the keyword editing module, and the similar keywords are synchronously applied to the data weight value calculation in the weight calculation module. The capture of similar keywords is applied to target selection according to the following formula:

[0032]

[0033] Where: sim wd (w 1 , w 2 ) is the keyword w 1 With keyword w 2 The similarity between

[0034] F is the description content of the keyword;

[0035] I is the amount of information contained in the keyword set consisting of characteristic keywords.

[0036] Furthermore, the control terminal is electrically connected to a region selection module through a medium, the region selection module is electrically connected to an analysis unit and a division unit through a medium at a lower level, the region selection module is electrically connected to a receiving module through a medium, the interior of the receiving module is electrically connected to an extraction unit through a medium, the receiving module is electrically connected to a recording module through a medium, the recording module and the division unit are both electrically connected to the extraction unit through a medium, the recording module is electrically connected to a logic creation module through a medium, the logic creation module is electrically connected to an identification unit through a medium at a lower level, the identification unit is electrically connected to the receiving module through a medium, and the logic creation module is electrically connected to a keyword editing module, a weight calculation module and an integration module through a medium.

[0037] In a second aspect, a multi-source data integration method based on geographic information comprises the following steps:

[0038] Step 1: Set the data collection area, obtain the attributes of the data content contained in the data collection area, refer to the geographical location information of the data collection area, and divide the data collection area into zones according to the attributes of the data content in the area;

[0039] Step 2: Receive user data collection requirements and analyze the characteristics of the data content corresponding to the data collection requirements;

[0040] Step 3: providing the collection area partitions divided in step 1 to the user terminal, and the user terminal selects the collection area partitions;

[0041] Step 4: After the user selects the collection area partition, the collection area partition selected by the user is matched with the characteristics of the data content corresponding to the user's collection requirements and the collection area partition;

[0042] Step 5: Search the collection area partitions according to the data collection requirements issued by the user again, obtain the features of the data content corresponding to the user collection requirements matched by the collection area partitions, and determine whether the data content features corresponding to the data collection requirements issued by the current user exist in the data content features matched by the collection area partitions;

[0043] Step 6: If the result of step 5 is no, jump to step 2 for execution; if the result of step 5 is yes, obtain the data content corresponding to the data collection requirement in the collection area partition according to the user's data collection requirement;

[0044] Step 7: Set data content keywords, calculate the weight value of the data content collected corresponding to the data collection demand according to the data collection demand characteristics and data content keywords, and integrate the data content corresponding to the collected data demand with reference to the data content weight value calculation result.

[0045] Beneficial Effects

[0046] Compared with the known public technology, the technical solution provided by the present invention has the following beneficial effects:

[0047] 1. The present invention provides a multi-source data integration system based on geographic information. Through this system, the existing data content in the network can be effectively divided and managed according to the geographic location information. When the user issues a data collection demand, the source area for user data collection is provided, so that the user's data collection demand can be more accurately searched and obtained in the network. In addition, after the data corresponding to the user's data collection demand is collected, the data content can be further integrated and processed, so that the data content obtained by the system according to the user's data collection demand is more refined.

[0048] 2. When the system of the present invention is running, it provides a certain degree of learning ability through memory storage. When the user uses it for the second time or different users have the same data collection needs, the system can operate autonomously according to the logic used in the previous data collection demand operation status, thereby improving the intelligence of the system and bringing convenience to the user's operation.

[0049] 3. The present invention provides a multi-source data integration method based on geographic information, through which the operation stability of the system can be further maintained. At the same time, through the execution of the steps in the method, the system operation logic can be improved to ensure that when the system is used by new users, the operation logic of historical users can be applied more stably and effectively, thereby greatly reducing the operation difficulty of the system and bringing convenience to users during operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0051] Figure 1 It is a structural diagram of a multi-source data integration system based on geographic information;

[0052] Figure 2 It is a flowchart of a multi-source data integration method based on geographic information;

[0053] The numbers in the figure represent: 1. Control terminal; 2. Region selection module; 21. Analysis unit; 22. Division unit; 3. Receiving module; 31. Extraction unit; 4. Recording module; 5. Logic creation module; 51. Identification unit; 6. Keyword editing module; 7. Weight calculation module; 8. Integration module. DETAILED DESCRIPTION

[0054] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0055] The present invention will be further described below in conjunction with the embodiments.

[0056] Example 1

[0057] A multi-source data integration system based on geographic information in this embodiment, such as Figure 1 As shown, including:

[0058] Control terminal 1 is the main control terminal of the system and is used to issue execution commands;

[0059] Region selection module 2, used to select the data acquisition area for the system operation service;

[0060] Receiving module 3, used to receive and obtain the data collection requirements of the user;

[0061] Recording module 4, used to store selected target partitions under the data acquisition area corresponding to the user's data collection requirements;

[0062] The logic creation module 5 is used to read the data acquisition partition corresponding to the data acquisition requirement stored in the recording module 4, and to set the data acquisition partition logic matching the data acquisition requirement with the data acquisition requirement by referring to the data acquisition partition corresponding to the data acquisition requirement;

[0063] A keyword editing module 6, used to edit characteristic keywords of collected data corresponding to data collection requirements;

[0064] The weight calculation module 7 is used to obtain the data corresponding to the user data collection requirements collected by the system in the data acquisition partition, and calculate the weight value of the data corresponding to the user data collection requirements with reference to the corresponding characteristic keywords of the collected data in the keyword editing module 6;

[0065] The integration module 8 is used to obtain the operation results of the weight calculation module 7, and distinguish, discard and package the data according to the data weight values ​​corresponding to the user data collection requirements.

[0066] In this embodiment, the control terminal 1 controls the region selection module 2 to run the data acquisition area for selecting the system to run the service, the receiving module 3 is post-positioned to run in real time to receive and acquire the user's data collection needs, the synchronous recording module 4 stores the selected target partition under the partition of the data acquisition area corresponding to the user's data collection needs, and then the logic creation module 5 reads the data acquisition partition corresponding to the data collection needs stored in the recording module 4, and sets the data acquisition partition logic matching the data collection needs with reference to the data acquisition partition corresponding to the data collection needs, the keyword editing module 6 edits the characteristic keywords of the collected data corresponding to the data collection needs, and finally the weight calculation module 7 acquires the data corresponding to the user's data collection needs collected by the system in the data acquisition partition, and calculates the weight value of the data corresponding to the user's data collection needs with reference to the corresponding characteristic keywords of the collected data in the keyword editing module 6, and obtains the operation result of the weight calculation module 7 through the integration module 8, and distinguishes, discards, and packages the data with reference to the weight value of the data corresponding to the user's data collection needs.

[0067] Example 2

[0068] In terms of specific implementation, based on Example 1, this example refers to Figure 1 The following is a further detailed description of a multi-source data integration system based on geographic information in Example 1:

[0069] The region selection module 2 is provided with submodules at the lower level, including:

[0070] An analysis unit 21 is used to analyze the regional attributes of the data acquisition region selected by the region selection module 2;

[0071] A division unit 22 is used to obtain the regional attributes of the data acquisition area obtained by the analysis unit 21, and divide the data acquisition area into regions with reference to the regional attributes;

[0072] The regional attribute analysis logic run by the analysis unit 21 is manually input by the user end at the control terminal 1 in the system operation initialization state, and the regional attribute analysis logic of the analysis unit 21 is ≥1.

[0073] This setting can provide logic for the division of data acquisition areas, ensuring that the data acquisition areas can be reasonably divided according to the specified logic.

[0074] like Figure 1 As shown, the receiving module 3 is internally provided with submodules, including:

[0075] An extraction unit 31 is used to extract the data collection demand characteristics of the user received and acquired by the receiving module 3;

[0076] Among them, the data collection demand characteristics include: the technical field of the collected data source, the corresponding source group of the collected data, the application scenario of the collected data, and the time threshold for the generation of the collected data.

[0077] The settings of the internal submodules of the receiving module 3 provide data support for the data collection requirements and the data acquisition area partitions, ensuring that the user's data collection requirements can be mutually configured with the data acquisition area partitions.

[0078] like Figure 1 As shown, after receiving and acquiring the user's data collection requirements, the receiving module 3 synchronously acquires the partitioned areas for the data acquisition area in the dividing unit 22 and sends them to the control terminal 1. The user selects the partitioned areas on the control terminal 1. After the user's selection is completed, the extraction unit 31 receives the partitioned areas selected by the user on the control terminal 1 in the system, and packages them with the extracted data collection requirement feature data and sends them to the recording module 4 for storage.

[0079] like Figure 1 As shown, the logic creation module 5 is provided with submodules at the lower level, including:

[0080] An identification unit 51 is used to identify whether the data acquisition requirement received and acquired by the receiving module 3 is a data acquisition requirement of a data acquisition partition configured in the logic creation module 5;

[0081] Among them, the identification unit 51 starts to run synchronously with the receiving module 3 after the receiving module 3 runs for the second time, and the identification unit 51 runs before the receiving module 3. When the running result of the identification unit 51 is no, it triggers the jump control of the receiving module 3 to run. When the running result of the identification unit 51 is yes, the recording module 4 is skipped to obtain the data acquisition partition corresponding to the data collection requirement from the logic creation module 5 for the running logic.

[0082] like Figure 1 As shown, the characteristic keywords edited in the keyword editing module 6 are manually edited and input by the user, and the characteristic keywords are configured in the data collection requirement characteristics according to the user settings;

[0083] After the logic creation module 5 is finished running, the system collects data in the data acquisition partition according to the user's data acquisition requirements and the selected data acquisition partition.

[0084] like Figure 1 As shown, the data weight value calculation result obtained by the operation of the weight calculation module 7 is synchronously fed back to the user end. After the user end sets the data selection interval for the weight value, the weight calculation module 7 sends it to the integration module 8. The integration module 8 distinguishes, discards, and packages the data according to the data selection interval.

[0085] like Figure 1As shown, when the weight calculation module 7 is running, similar keywords are captured and applied according to the characteristic keywords edited in the keyword editing module 6, and the similar keywords are synchronously applied to the data weight value calculation in the weight calculation module 7. The capture of similar keywords is applied to target selection according to the following formula:

[0086]

[0087] Where: sim wd (w 1 , w 2 ) is the keyword w 1 With keyword w 2 The similarity between

[0088] F is the description content of the keyword;

[0089] I is the amount of information contained in the keyword set consisting of characteristic keywords.

[0090] like Figure 1 As shown, the control terminal 1 is electrically connected to the region selection module 2 through a medium, the region selection module 2 is electrically connected to the analysis unit 21 and the division unit 22 through a medium, the region selection module 2 is electrically connected to the receiving module 3 through a medium, the interior of the receiving module 3 is electrically connected to the extraction unit 31 through a medium, the receiving module 3 is electrically connected to the recording module 4 through a medium, the recording module 4 and the division unit 22 are both electrically connected to the extraction unit 31 through a medium, the recording module 4 is electrically connected to the logic creation module 5 through a medium, the logic creation module 5 is electrically connected to the identification unit 51 through a medium, the identification unit 51 is electrically connected to the receiving module 3 through a medium, and the logic creation module 5 is electrically connected to the keyword editing module 6, the weight calculation module 7 and the integration module 8 through a medium.

[0091] Example 3

[0092] In terms of specific implementation, based on Example 1, this example refers to Figure 2 The following is a further detailed description of a multi-source data integration system based on geographic information in Example 1:

[0093] A multi-source data integration method based on geographic information includes the following steps:

[0094] Step 1: Set the data collection area, obtain the attributes of the data content contained in the data collection area, refer to the geographical location information of the data collection area, and divide the data collection area into zones according to the attributes of the data content in the area;

[0095] Step 2: Receive user data collection requirements and analyze the characteristics of the data content corresponding to the data collection requirements;

[0096] Step 3: providing the collection area partitions divided in step 1 to the user terminal, and the user terminal selects the collection area partitions;

[0097] Step 4: After the user selects the collection area partition, the collection area partition selected by the user is matched with the characteristics of the data content corresponding to the user's collection requirements and the collection area partition;

[0098] Step 5: Search the collection area partitions according to the data collection requirements issued by the user again, obtain the features of the data content corresponding to the user collection requirements matched by the collection area partitions, and determine whether the data content features corresponding to the data collection requirements issued by the current user exist in the data content features matched by the collection area partitions;

[0099] Step 6: If the result of step 5 is no, jump to step 2 for execution; if the result of step 5 is yes, obtain the data content corresponding to the data collection requirement in the collection area partition according to the user's data collection requirement;

[0100] Step 7: Set data content keywords, calculate the weight value of the data content collected corresponding to the data collection demand according to the data collection demand characteristics and data content keywords, and integrate the data content corresponding to the collected data demand with reference to the data content weight value calculation result.

[0101] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A multi-source data integration system based on geographic information, characterized in that: include: The control terminal (1) is the main control terminal of the system and is used to issue execution commands; A region selection module (2), used to select a data acquisition region for the system operation service; A receiving module (3) is used to receive and obtain the data collection requirements of the user; A recording module (4), used for storing selected target partitions under the data acquisition area corresponding to the user's data collection requirements; A logic creation module (5) is used to read the data acquisition partition corresponding to the data acquisition requirement stored in the recording module (4), and to set the data acquisition partition logic matching the data acquisition requirement with reference to the data acquisition partition corresponding to the data acquisition requirement; A keyword editing module (6), used to edit characteristic keywords of collected data corresponding to data collection requirements; A weight calculation module (7) is used to obtain the data corresponding to the user data collection requirements collected by the system in the data acquisition partition, and to calculate the weight value of the data corresponding to the user data collection requirements by referring to the corresponding characteristic keywords of the collected data in the keyword editing module (6); The integration module (8) is used to obtain the operation result of the weight calculation module (7), and distinguish, discard and package the data according to the data weight value corresponding to the user data collection requirements.

2. The multi-source data integration system based on geographic information according to claim 1, characterized in that: The region selection module (2) is provided with submodules at the lower level, including: An analysis unit (21) for analyzing the regional attributes of the data acquisition region selected by the region selection module (2); A division unit (22) is used to obtain the regional attributes of the data acquisition area obtained by the analysis unit (21) and divide the data acquisition area into zones with reference to the regional attributes; The regional attribute analysis logic run by the analysis unit (21) is manually input by the user end at the control terminal (1) in the system operation initialization state, and the regional attribute analysis logic of the analysis unit (21) is ≥1.

3. The multi-source data integration system based on geographic information according to claim 1 is characterized in that: The receiving module (3) is internally provided with submodules, including: An extraction unit (31) is used to extract the data collection demand characteristics of the user received and acquired by the receiving module (3); Among them, the data collection demand characteristics include: the technical field of the collected data source, the corresponding source group of the collected data, the application scenario of the collected data, and the time threshold for the generation of the collected data.

4. The multi-source data integration system based on geographic information according to claim 1, characterized in that: After receiving the data collection requirements of the user, the receiving module (3) synchronously obtains the partitioned areas divided by the partitioning unit (22) for the data collection area and sends them to the control terminal (1). The user selects the partitioned areas on the control terminal (1). After the user completes the selection, the extraction unit (31) receives the partitioned areas selected by the user on the control terminal (1) in the system, packages them with the extracted data collection requirement feature data, and sends them to the recording module (4) for storage.

5. The multi-source data integration system based on geographic information according to claim 1 is characterized in that: The logic creation module (5) is provided with submodules at the lower level, including: An identification unit (51) is used to identify whether the data collection requirement received and obtained by the receiving module (3) is a data collection requirement of a data acquisition partition configured in the logic creation module (5); The identification unit (51) starts to run synchronously with the receiving module (3) after the receiving module (3) runs for the second time, and the identification unit (51) runs before the receiving module (3). When the running result of the identification unit (51) is no, the jump control of the receiving module (3) is triggered. When the running result of the identification unit (51) is yes, the recording module (4) is skipped to obtain the data acquisition partition corresponding to the data acquisition demand from the operation logic of the logic creation module (5).

6. The multi-source data integration system based on geographic information according to claim 1 is characterized in that: The characteristic keywords edited in the keyword editing module (6) are manually edited and input by the user, and the characteristic keywords are configured in the data collection requirement characteristics according to the user settings; After the logic creation module (5) is completed, the system collects data in the data acquisition partition according to the user's data acquisition requirements and the selected data acquisition partition.

7. The multi-source data integration system based on geographic information according to claim 1 is characterized in that: The data weight value calculation result obtained by the operation of the weight calculation module (7) is synchronously fed back to the user end. After the user end sets the data selection interval for the weight value, the weight calculation module (7) sends it to the integration module (8). The integration module (8) distinguishes, discards, and packages the data according to the data selection interval.

8. The multi-source data integration system based on geographic information according to claim 1 is characterized in that: When the weight calculation module (7) is running, similar keywords are captured and applied according to the characteristic keywords edited in the keyword editing module (6), and the similar keywords are simultaneously applied to the data weight value calculation in the weight calculation module (7). The capture of similar keywords is performed by applying the following formula for target selection: Where: sim wd (w1, w2) is the similarity between keyword w1 and keyword w2; F is the description content of the keyword; I is the amount of information contained in the keyword set consisting of characteristic keywords.

9. The multi-source data integration system based on geographic information according to claim 1, characterized in that: The control terminal (1) is electrically connected to a region selection module (2) through a medium, the region selection module (2) is electrically connected to an analysis unit (21) and a division unit (22) through a medium, the region selection module (2) is electrically connected to a receiving module (3) through a medium, the receiving module (3) is electrically connected to an extraction unit (31) through a medium, the receiving module (3) is electrically connected to a recording module (4) through a medium, the recording module (4) and the division unit (22) are both electrically connected to the extraction unit (31) through a medium, the recording module (4) is electrically connected to a logic creation module (5) through a medium, the logic creation module (5) is electrically connected to an identification unit (51) through a medium, the identification unit (51) is electrically connected to the receiving module (3) through a medium, and the logic creation module (5) is electrically connected to a keyword editing module (6), a weight calculation module (7) and an integration module (8) through a medium.

10. A method for integrating multi-source data based on geographic information, the method being an implementation method of a multi-source data integration system based on geographic information as claimed in any one of claims 1 to 9, characterized in that: The following steps are involved: Step 1: Set the data collection area, obtain the attributes of the data content contained in the data collection area, refer to the geographical location information of the data collection area, and divide the data collection area into zones according to the attributes of the data content in the area; Step 2: Receive user data collection requirements and analyze the characteristics of the data content corresponding to the data collection requirements; Step 3: providing the collection area partitions divided in step 1 to the user terminal, and the user terminal selects the collection area partitions; Step 4: After the user selects the collection area partition, the collection area partition selected by the user is matched with the characteristics of the data content corresponding to the user's collection requirements and the collection area partition; Step 5: Search the collection area partitions according to the data collection requirements issued by the user again, obtain the features of the data content corresponding to the user collection requirements matched by the collection area partitions, and determine whether the data content features corresponding to the data collection requirements issued by the current user exist in the data content features matched by the collection area partitions; Step 6: If the result of step 5 is no, jump to step 2 for execution; if the result of step 5 is yes, obtain the data content corresponding to the data collection requirement in the collection area partition according to the user's data collection requirement; Step 7: Set data content keywords, calculate the weight value of the data content collected corresponding to the data collection demand according to the data collection demand characteristics and data content keywords, and integrate the data content corresponding to the collected data demand with reference to the data content weight value calculation result.

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