A data configuration geographic information annotation operating system and method

Abstract

The present invention provides a data configuration geographical information annotation operating system and method, including: a data acquisition module for acquiring geographical information data of a target area based on a multi-dimensional acquisition method, and performing multi-dimensional matching verification on the acquired geographical information data to obtain geographical features; an information annotation module for performing geographical information annotation on a map of the target area according to the geographical features based on a differential annotation method. Meanwhile, an attached explanatory text is generated based on the attribute information of the geographical features, and the geographical information annotation result is associated and annotated with the attached explanatory text; a data verification module for performing sampling detection on the associated annotation result, and when the sampling detection result meets the expected requirements, archiving the associated annotation result to complete the geographical information annotation operation. This ensures the accuracy and reliability of the finally obtained annotation result. Meanwhile, it improves the efficiency of the geographical information annotation operation, simplifies the annotation operation, and enhances the effect of geographical information annotation.

Description

Technical Field

[0001] The present invention relates to the technical field of geographic information processing, and particularly relates to a data configuration geographic information annotation operation system and method. Background Art

[0002] At present, with the rapid development and wide application of information technology, the importance of geographic information systems has become increasingly prominent in various fields. In many application scenarios, it is necessary to accurately annotate a large amount of data with geographic information in order to better perform data analysis, visualization, and decision support;

[0003] However, traditional data annotation methods often face problems such as low efficiency, inaccurate annotation, and difficulty in adapting to complex and diverse data types. At the same time, there are challenges in compatibility and integration between different data sources and application systems, resulting in difficulties in data sharing and collaborative work, thus greatly reducing the effect of geographic information annotation;

[0004] Therefore, in order to overcome the above defects, the present invention provides a data configuration geographic information annotation operation system and method. Summary of the Invention

[0005] The present invention provides a data configuration geographic information annotation operation system and method, which are used to collect geographic information data of a target area through a multi-dimensional collection method, and perform multi-dimensional matching verification on the collected geographic information data to ensure the reliability and comprehensiveness of the finally obtained geographic information data, thereby providing a reliable guarantee for determining geographic features. Secondly, through a differential annotation method, geographic information is annotated on the map of the target area according to the obtained geographic features, which is convenient for effectively distinguishing different geographic features according to the differential annotation method. At the same time, an attached explanatory text is generated according to the attribute information of the geographic features, which is convenient for effectively determining the detailed information of different geographic features, and the geographic information annotation result is associated with the attached explanatory text, providing convenience for users to effectively understand different geographic features. Finally, the associated annotation result is detected, and after passing the detection, the associated annotation result is archived, ensuring the accuracy and reliability of the finally obtained annotation result. At the same time, the efficiency of performing geographic information annotation operations is improved, the annotation operation is simplified, and the effect of geographic information annotation is enhanced.

[0006] The present invention provides a data configuration geographic information annotation operation system, including:

[0007] A data collection module, configured to collect geographic information data of a target area based on a multi-dimensional collection method, and perform multi-dimensional matching verification on the collected geographic information data to obtain geographic features;

[0008] An information annotation module, which is used to perform geographic information annotation on the map of the target area based on the difference annotation method according to geographic features. At the same time, it generates an attached explanatory text based on the attribute information of the geographic features, and performs associated annotation on the geographic information annotation result and the attached explanatory text;

[0009] A data verification module, which is used to perform sampling detection on the associated annotation result, and when the sampling detection result meets the expected requirements, archive the associated annotation result to complete the geographic information annotation operation.

[0010] Preferably, a data configuration geographic information annotation operation system, the data acquisition module, includes:

[0011] An information acquisition unit, which is used to acquire the basic information of the target area and parse the basic information to obtain the distribution range of the target area;

[0012] A configuration unit, which is used to determine the scanning starting point and scanning direction of the target area based on the distribution range. At the same time, it acquires the execution entity of the multi-dimensional acquisition method, and configures the parameters of the execution entity based on the distribution range, scanning starting point and scanning direction of the target area;

[0013] An information acquisition unit, which is used to control the execution entity of the multi-dimensional acquisition method to perform a global scan of the geographic information of the target area in parallel based on the parameter configuration result, and respectively obtain the geographic information data of the target area corresponding to the multi-dimensional acquisition method based on the global scan result.

[0014] Preferably, a data configuration geographic information annotation operation system, the information acquisition unit, includes:

[0015] A data acquisition subunit, which is used to acquire the geographic information data of the target area obtained, and determine the classification condition for the geographic information data based on the terminal source of the geographic information data;

[0016] A data classification subunit, which is used to classify the geographic information data based on the classification condition to obtain independent geographic information data, and construct a distributed cache area in the management center based on the number of groups of the independent geographic information data;

[0017] A data caching subunit, which is used to cache the independent geographic information data in the distributed cache area respectively, generate a target index for each cache area based on the caching result, and return the target index to the management terminal for visual display.

[0018] Preferably, a data configuration geographic information annotation operation system, the data acquisition module, includes:

[0019] A data processing unit, which is used to acquire the geographic information data corresponding to the multi-dimensional acquisition method and unify the coordinates of the geographic information data based on a unified coordinate system;

[0020] A matching verification unit, configured to:

[0021] Align the feature points of the geographic information data corresponding to different-dimensional acquisition methods based on the coordinate unification result, and determine the deviation value of the geographic information data at the same geographical location based on the feature point alignment result;

[0022] Perform multi-dimensional matching verification on the collected geographic information data based on the deviation value.

[0023] Preferably, a data configuration geographic information annotation operation system, the matching verification unit includes:

[0024] A matching verification subunit, configured to:

[0025] Divide the geographic information data at the same geographical location into a complete data set and a merged data set based on the relative magnitude relationship between the value of the deviation value and a preset discrimination threshold;

[0026] Select representative information data at the same geographical location from the complete data set based on a preset screening index;

[0027] Perform feature analysis on the geographic information data of each dimension acquisition method in the merged data set, determine the edge features of the geographic information data of each dimension acquisition method, and determine the data splicing points of the geographic information data of each dimension acquisition method based on the edge features;

[0028] Merge the geographic information data of each dimension acquisition method based on the data splicing points, and obtain the geographical features of the target area based on the merged result and the representative information data.

[0029] Preferably, a data configuration geographic information annotation operation system, the information annotation module includes:

[0030] A result acquisition unit, configured to:

[0031] Obtain the obtained geographical features, and determine the boundary distribution features of different geographical feature regions based on the geographical features;

[0032] Circumscribe different geographical feature regions based on the boundary distribution features. Meanwhile, load the map of the target area, and perform positioning of the same geographical feature region on the map of the target area according to the circumscription result of different geographical feature regions based on the loading result;

[0033] A marking unit, configured to:

[0034] Extract the phenomenon representations of different geographical feature regions respectively based on the circumscription result, and classify different geographical feature regions based on the phenomenon representations;

[0035] Determine the differential annotation method for the map of the target area based on the classification results, and determine the annotation requirements for each category in the classification results based on the phenomenon representation;

[0036] Adjust the parameters of the differential annotation method based on the annotation requirements, and perform geographic information annotation on each geographic feature area in parallel in the map based on the parameter adjustment results;

[0037] An explanatory text generation unit, configured to:

[0038] Match the geographic features of the target area with a preset geographic knowledge system to obtain the academic names of each geographic feature area in the geographic features. At the same time, extract keywords from the geographic information data of the target area based on the preset attribute tags, and perform semantic analysis on the extracted keywords to obtain the basic information of the geographic features;

[0039] Sort the academic names and basic information of the same geographic feature area by priority to obtain a list of affiliated explanatory texts;

[0040] An associated annotation unit, configured to generate an explanatory telescopic diagram based on the list of affiliated explanatory texts, add the explanatory telescopic diagram to each geographic feature area, and perform associated annotation on the geographic information annotation result and the affiliated explanatory text based on the addition result.

[0041] Preferably, a data configuration geographic information annotation operating system, a data verification module, includes:

[0042] A division unit, configured to read the associated annotation results, determine multiple associated annotation pairs to form an associated annotation pair set, and at the same time, randomly divide the associated annotation pair set into two equal parts to obtain a first associated annotation pair set and a second associated annotation pair set;

[0043] A sampling detection unit, configured to:

[0044] Obtain a preset sampling detection method;

[0045] Perform a first sampling on the associated annotation pair set according to the preset sampling detection method to obtain a first detection result

[0046] Perform a second sampling on the first associated annotation pair set according to the preset sampling detection method to obtain a second detection result, and at the same time, perform a third sampling on the second associated annotation pair set according to the preset sampling detection method to obtain a third detection result;

[0047] Read the first associated annotation accuracy rate corresponding to the first detection result, the second associated annotation accuracy rate corresponding to the second detection result, and the third associated annotation accuracy rate corresponding to the third detection result respectively;

[0048] A calculation unit for calculating the average of the first associated annotation accuracy rate, the second associated annotation accuracy rate, and the third associated annotation accuracy rate to obtain the target associated annotation accuracy rate;

[0049] A judgment unit for:

[0050] Obtain the qualified threshold of the associated annotation accuracy rate, compare the target associated annotation accuracy rate with the qualified threshold of the associated annotation accuracy rate, and judge whether the sampling detection result meets the expected requirements;

[0051] If the target associated annotation accuracy rate is equal to or greater than the qualified threshold of the associated annotation accuracy rate, it is determined that the sampling detection result meets the expected requirements;

[0052] Otherwise, it is determined that the sampling detection result does not meet the expected requirements.

[0053] Preferably, a data configuration geographic information annotation operating system, a data verification module, includes:

[0054] A data information acquisition unit for reading the first data information corresponding to the associated annotation result and, at the same time, reading the second data information corresponding to the map after the associated annotation when the sampling detection result meets the expected requirements;

[0055] An archiving unit for:

[0056] Perform the first archiving on the first data information and, at the same time, perform the second archiving on the second data information;

[0057] Based on the first archiving result and the second archiving result, complete the annotation operation of the geographic information.

[0058] The present invention provides a data configuration geographic information annotation operation method, including:

[0059] Step 1: Collect the geographic information data of the target area based on the multi-dimensional collection method, and perform multi-dimensional matching verification on the collected geographic information data to obtain geographic features;

[0060] Step 2: Perform geographic information annotation on the map of the target area based on the geographic features according to the differential annotation method. At the same time, generate an attached description text based on the attribute information of the geographic features, and perform associated annotation on the geographic information annotation result and the attached description text;

[0061] Step 3: Perform sampling detection on the associated annotation result, and when the sampling detection result meets the expected requirements, archive the associated annotation result to complete the geographic information annotation operation.

[0062] Preferably, in a data configuration geographic information annotation operation method, in step 1, collecting the geographic information data of the target area based on the multi-dimensional collection method includes:

[0063] Obtain the basic information of the target area, and parse the basic information to obtain the distribution range of the target area;

[0064] Based on the distribution range, determine the scanning starting point and scanning direction of the target area. At the same time, obtain the execution entity of the multi-dimensional acquisition method, and configure parameters for the execution entity based on the distribution range, scanning starting point and scanning direction of the target area;

[0065] Based on the parameter configuration result, control the execution entity of the multi-dimensional acquisition method to globally scan the geographical information of the target area in parallel, and respectively obtain the geographical information data of the target area corresponding to the multi-dimensional acquisition method based on the global scanning result.

[0066] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0067] 1. Collect the geographical information data of the target area through the multi-dimensional acquisition method, and perform multi-dimensional matching verification on the collected geographical information data to ensure the reliability and comprehensiveness of the finally obtained geographical information data, thereby providing a reliable guarantee for determining geographical features. Secondly, perform geographical information annotation on the map of the target area according to the obtained geographical features through the differential annotation method, which is convenient for effectively distinguishing different geographical features according to the differential annotation method. At the same time, generate an attached explanatory text according to the attribute information of the geographical features, which is convenient for effectively determining the detailed information of different geographical features, and perform associated annotation on the geographical information annotation result and the attached explanatory text, which provides convenience for users to effectively understand different geographical features. Finally, detect the associated annotation result, and archive the associated annotation result after passing the detection, which ensures the accuracy and reliability of the finally obtained annotation result, improves the efficiency of the geographical information annotation operation, simplifies the annotation operation, and improves the effect of the geographical information annotation.

[0068] 2. By parsing the basic information of the target area, accurately and effectively determine the distribution range, scanning starting point and scanning direction of the target area, which provides a reliable reference basis for collecting geographical information data. Secondly, configure parameters for the execution entity of the multi-dimensional acquisition method through the determined distribution range, scanning starting point and scanning direction, which is convenient for ensuring the execution effect of the execution entity. Finally, globally scan the geographical information of the target area in parallel by the execution entity according to the parameter configuration result, and comprehensively and effectively obtain the geographical information data of the target area, which provides reliable data support and convenience for performing geographical information annotation operations.

[0069] Other features and advantages of the present invention will be set forth in the following description, and in part will be obvious from the description, or may be learned by practice of the present invention. The objectives and other advantages of the present invention may be realized and attained by the structure particularly pointed out in this application document.

[0070] The technical solution of the present invention will be further described in detail below with reference to the drawings and embodiments. Description of the Drawings

[0071] The drawings are used to provide a further understanding of the present invention, and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention, and do not constitute a limitation to the present invention. In the drawings:

[0072] Figure 1 It is a structural diagram of an operating system for data-configured geographic information annotation in an embodiment of the present invention;

[0073] Figure 2 It is a structural diagram of a data acquisition module in an operating system for data-configured geographic information annotation in an embodiment of the present invention;

[0074] Figure 3 It is a flowchart of an operating method for data-configured geographic information annotation in an embodiment of the present invention. Detailed Embodiments

[0075] The following describes the preferred embodiments of the present invention with reference to the drawings. It should be understood that the preferred embodiments described herein are only for explaining and illustrating the present invention, and are not used to limit the present invention.

[0076] Embodiment 1:

[0077] This embodiment provides an operating system for data-configured geographic information annotation, as Figure 1 shown, including:

[0078] A data acquisition module, configured to acquire geographic information data of a target area based on a multi-dimensional acquisition method, and perform multi-dimensional matching verification on the acquired geographic information data to obtain geographic features;

[0079] An information annotation module, configured to perform geographic information annotation on the map of the target area based on the geographic features according to a differential annotation method. At the same time, generate an attached explanatory text based on the attribute information of the geographic features, and perform associated annotation on the geographic information annotation result and the attached explanatory text;

[0080] A data verification module, configured to perform sampling detection on the associated annotation result, and archive the associated annotation result when the sampling detection result meets the expected requirements, thus completing the geographic information annotation operation.

[0081] In this embodiment, the multi-dimensional acquisition method is known in advance and is a variety of different types of geographical information data acquisition methods, including satellite acquisition, UAV acquisition, and GPS acquisition, etc.

[0082] In this embodiment, the target area refers to the area where geographical information annotation operation management needs to be carried out.

[0083] In this embodiment, the geographical information data refers to various geographical information of the target area, including roads, buildings, vegetation distribution, and river distribution, etc.

[0084] In this embodiment, the multi-dimensional matching verification refers to comparing the similarity of the results obtained by the multi-dimensional acquisition method, so as to facilitate the improvement of the geographical information data of the target area and ensure the reliability of the geographical information data.

[0085] In this embodiment, the geographical features refer to the actual geographical representation phenomena corresponding to different geographical information, including the distribution location of buildings, the shape of roads, and the area occupied by forests, etc.

[0086] In this embodiment, the differential annotation method refers to distinguishing and marking different geographical features through different methods, so as to facilitate the distinction of different geographical features according to the differential annotation method.

[0087] In this embodiment, the geographical information annotation refers to marking different geographical features through certain colors or annotation symbols, etc.

[0088] In this embodiment, the attribute information refers to the information such as the location corresponding to the geographical feature, the corresponding specific appearance features, and academic names, etc. Among them, the academic names are, for example, "forest", "house", etc.

[0089] In this embodiment, the affiliated explanatory text is generated according to the attribute information and is used to make detailed annotations on different geographical features.

[0090] In this embodiment, the associated annotation refers to binding the geographical information annotation result corresponding to the same geographical feature and the affiliated explanatory text.

[0091] In this embodiment, the preset requirements are set in advance. For example, it can be the value requirement for accuracy, etc.

[0092] The working principle and beneficial effects of the above technical solution are as follows: The geographical information data of the target area is collected through a multi-dimensional collection method, and the collected geographical information data is subjected to multi-dimensional matching verification, ensuring the reliability and comprehensiveness of the finally obtained geographical information data, thus providing a reliable guarantee for determining geographical features. Secondly, through the differential annotation method, geographical information is annotated on the map of the target area according to the obtained geographical features, which is convenient for effectively distinguishing different geographical features according to the differential annotation method. At the same time, an attached explanatory text is generated according to the attribute information of the geographical features, which is convenient for effectively determining the detailed information of different geographical features. Moreover, the geographical information annotation result is associated with the attached explanatory text, providing convenience for users to effectively understand different geographical features. Finally, the associated annotation result is detected, and after passing the detection, the associated annotation result is archived, ensuring the accuracy and reliability of the finally obtained annotation result. At the same time, the efficiency of the geographical information annotation operation is improved, the annotation operation is simplified, and the effect of the geographical information annotation is enhanced.

[0093] Embodiment 2:

[0094] Based on Embodiment 1, this embodiment provides a data configuration geographical information annotation operation system, as Figure 2 shown. The data collection module includes:

[0095] An information acquisition unit for acquiring the basic information of the target area and parsing the basic information to obtain the distribution range of the target area;

[0096] A configuration unit for determining the scanning starting point and scanning direction of the target area based on the distribution range. At the same time, the execution entity of the multi-dimensional collection method is acquired, and the execution entity is parameter-configured based on the distribution range, scanning starting point, and scanning direction of the target area;

[0097] An information collection unit for controlling the execution entity of the multi-dimensional collection method to globally scan the geographical information of the target area in parallel based on the parameter configuration result, and respectively obtaining the geographical information data of the target area corresponding to the multi-dimensional collection method based on the global scanning result.

[0098] In this embodiment, the basic information refers to the location where the target area is located and the area distribution characteristics of the target area, etc. Among them, the area distribution characteristic is the distribution range of the target area.

[0099] In this embodiment, the scanning starting point refers to the starting point when collecting the geographical information of the target area. For example, it can be the north side of the target, and the scanning direction is the direction of scanning the geographical information of the target area. For example, it can be scanned from the north side to the south side of the target area.

[0100] In this embodiment, the execution entity refers to the execution terminal corresponding to the multi-dimensional acquisition method, such as a satellite or a drone, etc.

[0101] In this embodiment, parameter configuration refers to setting the scanning scheme for the execution entity according to the distribution range, scanning starting point, and scanning direction of the target area, with the aim of controlling the execution entity to perform effective scanning according to the determined parameters.

[0102] The working principle and beneficial effects of the above technical solution are as follows: By analyzing the basic information of the target area, the distribution range, scanning starting point, and scanning direction of the target area are accurately and effectively determined, providing a reliable reference basis for the acquisition of geographic information data. Secondly, the execution entity of the multi-dimensional acquisition method is configured with parameters according to the determined distribution range, scanning starting point, and scanning direction, facilitating the ensuring of the execution effect of the execution entity. Finally, according to the parameter configuration result, the execution entity performs a global scan of the geographic information of the target area in parallel, achieving a comprehensive and effective acquisition of the geographic information data of the target area, providing reliable data support and convenience for the operation of geographic information annotation.

[0103] Embodiment 3:

[0104] Based on Embodiment 2, this embodiment provides a data-configured geographic information annotation operation system, and the information acquisition unit includes:

[0105] A data acquisition subunit, which is used to acquire the geographic information data of the target area obtained, and determine the classification conditions for the geographic information data based on the terminal source of the geographic information data;

[0106] A data classification subunit, which is used to classify the geographic information data based on the classification conditions to obtain independent geographic information data, and construct a distributed cache area in the management center based on the number of groups of the independent geographic information data;

[0107] A data caching subunit, which is used to cache the independent geographic information data in the distributed cache area respectively, generate the target index of each cache area based on the caching result, and return the target index to the management terminal for visual display.

[0108] In this embodiment, the terminal source refers to which acquisition device the geographic information data comes from, so as to facilitate determining the classification conditions for the geographic information data according to the acquisition type, such as satellite images, drone images, and GPS data, etc.

[0109] In this embodiment, the independent geographic information data refers to the data of each category obtained by classifying the geographic information data according to the classification conditions.

[0110] In this embodiment, the distributed cache area refers to the data storage space constructed in the management center according to the number of groups corresponding to the classification result.

[0111] In this embodiment, the target index is used to record the cache locations of geospatial information data of different categories in the distributed cache area, so as to facilitate quickly locking the corresponding geospatial information data during retrieval.

[0112] The working principle and beneficial effects of the above technical solution are as follows: By accurately and effectively determining the classification conditions of geospatial information data according to the terminal source, the geospatial information data can be effectively classified according to the classification conditions. Secondly, a distributed cache area is constructed in the management center according to the classification result, so as to effectively store geospatial information data of different categories in the corresponding storage areas. Finally, a target index is generated according to the storage result and returned to the management terminal, which is convenient for effectively retrieving the corresponding geospatial information data in a timely manner during the geospatial information annotation operation.

[0113] Embodiment 4:

[0114] Based on Embodiment 1, this embodiment provides a data configuration geospatial information annotation operating system, and the data acquisition module includes:

[0115] A data processing unit, which is used to obtain geospatial information data corresponding to a multi-dimensional acquisition method and unify the coordinates of the geospatial information data based on a unified coordinate system;

[0116] A matching and verification unit, which is used for:

[0117] Aligning the feature points of geospatial information data corresponding to different-dimensional acquisition methods based on the coordinate unification result, and determining the deviation value of geospatial information data at the same geographical location based on the feature point alignment result;

[0118] Performing multi-dimensional matching verification on the acquired geospatial information data based on the deviation value.

[0119] In this embodiment, the unified coordinate system is set in advance and is used to unify the formats of geospatial information data from different terminal sources.

[0120] In this embodiment, feature point alignment refers to registering geospatial information data corresponding to different-dimensional acquisition methods, that is, aligning the acquisition data corresponding to the same object one by one.

[0121] In this embodiment, the deviation value refers to the deviation situation that exists after collecting geospatial information at the same geographical location under different-dimensional acquisition methods.

[0122] In this embodiment, multi-dimensional matching verification refers to correcting the geographic information data of the target area through the geographic information data corresponding to different-dimensional acquisition methods.

[0123] The working principle and beneficial effects of the above technical solution are as follows: By using a unified coordinate system to unify the coordinates of the geographic information data collected by multi-dimensional acquisition methods, it is convenient to uniformly process the geographic information data corresponding to different-dimensional acquisition methods. Secondly, align the feature points of the geographic information data with unified coordinates to accurately and effectively determine the deviation values of the geographic information data at the same geographical location. Finally, perform multi-dimensional matching verification on the geographic information data according to the deviation values, ensuring the accuracy and reliability of the final obtained geographic information data of the target area, and also providing guarantee for the geographic information annotation operation.

[0124] Embodiment 5:

[0125] Based on Embodiment 4, this embodiment provides a data configuration geographic information annotation operation system. The matching verification unit includes:

[0126] A matching verification subunit, configured to:

[0127] Divide the geographic information data at the same geographical location into a complete data set and a merged data set based on the relative magnitude relationship between the value of the deviation value and a preset discrimination threshold;

[0128] Select representative information data at the same geographical location from the complete data set based on a preset screening index;

[0129] Perform feature analysis on the geographic information data of each dimension acquisition method in the merged data set, determine the edge features of the geographic information data of each dimension acquisition method, and determine the data splicing points of the geographic information data of each dimension acquisition method based on the edge features;

[0130] Merge the geographic information data of each dimension acquisition method based on the data splicing points, and obtain the geographic features of the target area based on the merging result and the representative information data.

[0131] In this embodiment, the preset discrimination threshold is set in advance, which is a reference value for measuring whether the current deviation value meets the allowable deviation and can be adjusted.

[0132] In this embodiment, the complete data set refers to the geographic information data collected by each dimension acquisition method that contains complete surface information.

[0133] In this embodiment, the merged data set refers to the set of geographic information data with incomplete collected geographic information data among different dimension acquisition methods.

[0134] In this embodiment, the preset screening criteria are known in advance.

[0135] In this embodiment, the representative information data refers to selecting one from multiple complete data as the geographic information data of the current geographical location.

[0136] In this embodiment, feature analysis refers to determining the geographical features represented by the geographical information data of each dimension acquisition method in the merged data set, so as to facilitate determining the complete geographical information of this location through the geographical information data corresponding to the multi-dimensional acquisition method.

[0137] In this embodiment, the edge feature refers to the shape and edge structure of the geographical location represented by the geographical information data of each dimension acquisition method.

[0138] In this embodiment, the data splicing point refers to the specific data node for splicing and integrating the geographical information data of different dimension acquisition methods.

[0139] The working principle and beneficial effects of the above technical solution are: by determining the relative size relationship between the deviation value and the preset discrimination threshold, the geographical information data is divided into a complete data set and a merged data set. Secondly, the complete data set and the merged data set are respectively analyzed to accurately, comprehensively and effectively obtain the geographical information data of the target area, ensuring the reliability of the geographical information annotation operation.

[0140] Embodiment 6:

[0141] Based on Embodiment 1, this embodiment provides a data configuration geographical information annotation operation system, and the information annotation module includes:

[0142] The result acquisition unit is used for:

[0143] Obtaining the obtained geographical features, and determining the boundary distribution features of different geographical feature regions based on the geographical features;

[0144] Circling the positions of different geographical feature regions based on the boundary distribution features. At the same time, loading the map of the target area, and performing positioning of the same geographical feature region on the map of the target area according to the position circling result of different geographical feature regions based on the loading result;

[0145] The annotation unit is used for:

[0146] Extracting the phenomenon representations of different geographical feature regions respectively based on the position circling result, and classifying different geographical feature regions based on the phenomenon representations;

[0147] Determining the differential annotation method for the map of the target area based on the classification result, and determining the annotation requirements for each category in the classification result based on the phenomenon representation;

[0148] Adjust the parameters of the differential annotation method based on the annotation requirements, and perform geographic information annotation on each type of geographic feature area in parallel on the map based on the parameter adjustment results;

[0149] An explanatory text generation unit, configured to:

[0150] Match the geographic features of the target area with a preset geographic knowledge system to obtain the academic names of each geographic feature area in the geographic features. At the same time, extract keywords from the geographic information data of the target area based on the preset attribute tags, and perform semantic parsing on the extracted keywords to obtain the basic information of the geographic features;

[0151] Sort the academic names and basic information of the same geographic feature area by priority to obtain a list of explanatory texts;

[0152] An associated annotation unit, configured to generate an explanatory telescopic diagram based on the list of explanatory texts, add the explanatory telescopic diagram to each type of geographic feature area, and perform associated annotation on the geographic information annotation result and the explanatory text based on the addition result.

[0153] In this embodiment, the boundary distribution feature refers to the edge distribution of different geographic features (such as houses, rivers, and forests) in the target area.

[0154] In this embodiment, position delineation refers to dividing different geographic feature areas according to the boundary distribution feature, that is, determining the boundary lines of different geographic feature areas.

[0155] In this embodiment, the positioning of the same geographic feature area refers to determining the unified geographic feature area on the map of the target area according to the position delineation result, so as to facilitate corresponding annotation operations on the map.

[0156] In this embodiment, the phenomenon representation refers to the state presented by different geographic feature areas in appearance. For example, the phenomenon representation of "forest" is a piece of green, and the phenomenon representation of "house" is a regular square, etc.

[0157] In this embodiment, the annotation requirements are related to the phenomenon representation of each category, including the annotation symbols and annotation positions used.

[0158] In this embodiment, the preset geographic knowledge system is known in advance, and includes the academic names corresponding to various types of geographic features and the association relationships between geographic features, etc.

[0159] In this embodiment, the academic name refers to the data used to represent different geographic features, such as "forest" and "gully", etc.

[0160] In this embodiment, the preset attribute label is known in advance and is used to represent the types of data or parameters to be extracted.

[0161] In this embodiment, the keyword refers to a parameter that can represent the basic characteristics of geographical information data, including information such as the distribution area, location, and altitude.

[0162] In this embodiment, the basic information refers to the basic attributes corresponding to geographical features and the data that can assist in explaining geographical features.

[0163] In this embodiment, the explanatory telescopic diagram refers to converting the list of subsidiary explanatory texts into an icon form and allowing for zoom-in and zoom-out configurations.

[0164] The working principle and beneficial effects of the above technical solution are as follows: By analyzing geographical features, the boundary distribution features of different geographical feature regions are accurately and effectively determined, facilitating the division of different geographical feature regions according to the boundary distribution features. Secondly, the map of the target area is obtained, and accurate and effective positioning of the corresponding geographical feature regions on the map is achieved according to the division results of different geographical feature regions. The phenomenon representations of different geographical feature regions are extracted according to the positioning results, facilitating the classification of different geographical feature regions according to the phenomenon representations, thereby effectively determining different types of differential annotation methods. Finally, geographical information annotation is performed on the corresponding geographical feature regions according to the differential annotation methods. At the same time, the geographical features are matched with the preset geographical knowledge system to effectively determine the academic names and basic information of the geographical features, thereby determining the list of subsidiary explanatory texts for different geographical feature regions and associating and annotating the list of subsidiary explanatory texts generated into an explanatory telescopic diagram with the geographical information annotation results, improving the accuracy and comprehensiveness of geographical information annotation, enhancing the efficiency of geographical information annotation operations, and improving the effect of geographical information annotation.

[0165] Embodiment 7:

[0166] Based on Embodiment 1, this embodiment provides a data configuration geographical information annotation operating system, and the data verification module includes:

[0167] A division unit for reading the associated annotation results, determining multiple associated annotation pairs to form an associated annotation pair set, and at the same time, randomly dividing the associated annotation pair set into two equal parts to obtain a first associated annotation pair set and a second associated annotation pair set;

[0168] A sampling detection unit for:

[0169] Obtaining a preset sampling detection method;

[0170] Perform the first sampling on the associated annotation pair set according to the preset sampling detection method to obtain the first detection result

[0171] Perform the second sampling on the first associated annotation pair set according to the preset sampling detection method to obtain the second detection result. At the same time, perform the third sampling on the second associated annotation pair set according to the preset sampling detection method to obtain the third detection result;

[0172] Read the first associated annotation accuracy rate corresponding to the first detection result, the second associated annotation accuracy rate corresponding to the second detection result, and the third associated annotation accuracy rate corresponding to the third detection result respectively;

[0173] A calculation unit for calculating the mean of the first associated annotation accuracy rate, the second associated annotation accuracy rate, and the third associated annotation accuracy rate to obtain the target associated annotation accuracy rate;

[0174] A judgment unit for:

[0175] Obtain the qualified threshold of the associated annotation accuracy rate, compare the target associated annotation accuracy rate with the qualified threshold of the associated annotation accuracy rate, and judge whether the sampling detection result meets the expected requirements;

[0176] If the target associated annotation accuracy rate is equal to or greater than the qualified threshold of the associated annotation accuracy rate, it is determined that the sampling detection result meets the expected requirements;

[0177] Otherwise, it is determined that the sampling detection result does not meet the expected requirements.

[0178] In this embodiment, the associated annotation pair refers to the result of annotating geographical information and annotating the attached explanatory text for the same geographical feature. For example: the geographical information annotation result corresponding to the geographical feature is a triangle, and the triangle and the corresponding academic name "forest" are a pair of annotations.

[0179] In this embodiment, the associated annotation pair set refers to the associated annotation pairs corresponding to multiple different geographical features.

[0180] In this embodiment, the first associated annotation pair set and the second associated annotation pair set refer to two sets obtained by evenly dividing the associated annotation pair set.

[0181] In this embodiment, the preset sampling detection method is set in advance, for example, it can be random sampling, etc.

[0182] In this embodiment, the first associated annotation accuracy rate, the second associated annotation accuracy rate, and the third associated annotation accuracy rate are all obtained by comparing the sampling detection result with the standard result and calculating after multiple samplings. For example, a total of ten samplings are performed, and eight of them are consistent with the standard result, then the corresponding accuracy rate is 80%.

[0183] In this embodiment, the target associated annotation accuracy rate refers to a parameter that can represent the overall effect obtained by calculating the average of the first associated annotation accuracy rate, the second associated annotation accuracy rate, and the third associated annotation accuracy rate.

[0184] In this embodiment, the qualified threshold of the associated annotation accuracy rate is set in advance.

[0185] The working principle and beneficial effects of the above technical solution are as follows: By analyzing the associated annotation results, the associated annotation results are bisected, and sampling detection is performed on the associated annotation results according to the bisected results, so as to accurately and effectively verify the geographical information annotation results of the target area. Therefore, when there is an annotation anomaly, the abnormal situation can be detected in time, ensuring the accuracy and reliability of the geographical information annotation.

[0186] Embodiment 8:

[0187] Based on Embodiment 1, this embodiment provides a data configuration geographical information annotation operating system, and the data verification module includes:

[0188] A data information acquisition unit, configured to read the first data information corresponding to the associated annotation result and, at the same time, read the second data information corresponding to the map after the associated annotation when the sampling detection result meets the expected requirements;

[0189] An archiving unit, configured to:

[0190] Perform first archiving on the first data information and, at the same time, perform second archiving on the second data information;

[0191] Based on the first archiving result and the second archiving result, complete the annotation operation of the geographical information.

[0192] In this embodiment, the first information refers to the annotation results of different geographical features on the map in different ways.

[0193] In this embodiment, the second data information refers to the data information corresponding to the entire map after the map is annotated.

[0194] The working principle and beneficial effects of the above technical solution are as follows: By separately archiving the associated annotation information and the map, it is convenient to effectively manage different data and also provides a reference basis for subsequent other map annotations.

[0195] Embodiment 9:

[0196] This embodiment provides a data configuration geographical information annotation operation method, as Figure 3 shown, including:

[0197] Step 1: Collect the geographical information data of the target area based on the multi-dimensional collection method, and perform multi-dimensional matching verification on the collected geographical information data to obtain geographical features;

[0198] Step 2: Based on the differential annotation method, perform geographical information annotation on the map of the target area according to the geographical features. At the same time, generate an attached explanatory text based on the attribute information of the geographical features, and perform associated annotation on the geographical information annotation result and the attached explanatory text;

[0199] Step 3: Perform sampling detection on the associated annotation result, and when the sampling detection result meets the expected requirements, archive the associated annotation result to complete the geographical information annotation operation.

[0200] The working principle and beneficial effects of the above technical solution are as follows: The geographical information data of the target area is collected through the multi-dimensional collection method, and the collected geographical information data is subjected to multi-dimensional matching verification, ensuring the reliability and comprehensiveness of the finally obtained geographical information data, thus providing a reliable guarantee for determining geographical features. Secondly, based on the obtained geographical features, geographical information annotation is performed on the map of the target area through the differential annotation method, which is convenient for effectively distinguishing different geographical features according to the differential annotation method. At the same time, an attached explanatory text is generated according to the attribute information of the geographical features, which is convenient for effectively determining the detailed information of different geographical features, and the geographical information annotation result and the attached explanatory text are associated and annotated, providing convenience for users to effectively understand different geographical features. Finally, the associated annotation result is detected, and the associated annotation result is archived after passing the detection, ensuring the accuracy and reliability of the finally obtained annotation result. At the same time, the efficiency of the geographical information annotation operation is improved, the annotation operation is simplified, and the effect of geographical information annotation is enhanced.

[0201] Example 10:

[0202] Based on Example 9, this example provides a data configuration geographical information annotation operation method. In Step 1, collecting the geographical information data of the target area based on the multi-dimensional collection method includes:

[0203] Obtain the basic information of the target area, and analyze the basic information to obtain the distribution range of the target area;

[0204] Determine the scanning starting point and scanning direction of the target area based on the distribution range. At the same time, obtain the execution subject of the multi-dimensional collection method, and perform parameter configuration on the execution subject based on the distribution range, scanning starting point and scanning direction of the target area;

[0205] Based on the parameter configuration result, the execution subject of the multi-dimensional acquisition method controls parallel global scanning of the geographical information of the target area, and respectively obtains the geographical information data of the target area corresponding to the multi-dimensional acquisition method based on the global scanning result.

[0206] The working principle and beneficial effects of the above technical solution are as follows: By analyzing the basic information of the target area, the distribution range, scanning starting point, and scanning direction of the target area are accurately and effectively determined, providing a reliable reference basis for the acquisition of geographical information data. Secondly, the execution subject of the multi-dimensional acquisition method is parameter-configured according to the determined distribution range, scanning starting point, and scanning direction, facilitating the ensuring of the execution effect of the execution subject. Finally, according to the parameter configuration result, the execution subject performs parallel global scanning of the geographical information of the target area, realizing the comprehensive and effective acquisition of the geographical information data of the target area, providing reliable data support and convenience for the operation of geographical information annotation.

[0207] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these changes and modifications.

Claims

1. A data configuration geographic information annotation operating system, characterized in that: include: The data collection module is used to collect geographic information data of the target area based on a multi-dimensional collection method, and to perform multi-dimensional matching verification on the collected geographic information data to obtain geographic features; An information annotation module is used to annotate geographic information on a map of a target area based on geographic features based on a differential annotation method, and to generate an attached description text based on attribute information of the geographic features, and to associate and annotate the geographic information annotation result with the attached description text; The data verification module is used to perform sampling inspection on the associated annotation results, and when the sampling inspection results meet the expected requirements, the associated annotation results are archived to complete the geographic information annotation operation; Among them, the information annotation module includes: The result acquisition unit is used to: The obtained geographical features are obtained, and the boundary distribution features of different geographical feature areas are determined based on the geographical features; Based on the boundary distribution characteristics, different geographical feature areas are delineated, and at the same time, a map of the target area is loaded, and based on the loading results, the same geographical feature area is located on the map of the target area according to the position delineation results of different geographical feature areas; Annotation unit for: Based on the location delineation results, the phenomenon representations of different geographical feature areas are extracted respectively, and the different geographical feature areas are classified based on the phenomenon representations; Determine the difference annotation method for the map of the target area based on the classification results, and determine the annotation requirements for each category in the classification results based on the phenomenon representation; Adjust the parameters of the difference annotation method based on the annotation requirements, and annotate the geographic information of each type of geographic feature area in the map in parallel based on the parameter adjustment results; Description text generation unit, used to: Match the geographical features of the target area with the preset geographical knowledge system to obtain the academic name of each geographical feature area in the geographical features. At the same time, extract keywords from the geographical information data of the target area based on the preset attribute tags, and perform semantic analysis on the extracted keywords to obtain the basic information of the geographical features. Prioritize the academic names and basic information of the same geographical feature area to obtain a list of attached explanatory texts; The associated annotation unit is used to generate an explanation telescopic map based on the attached explanation text list, add the explanation telescopic map in each type of geographic feature area, and associate the geographic information annotation result with the attached explanation text based on the added result.

2. A data configuration geographic information annotation operating system according to claim 1, characterized in that: Data acquisition module, including: An information acquisition unit is used to acquire basic information of the target area and parse the basic information to obtain the distribution range of the target area; A configuration unit is used to determine a scanning starting point and a scanning direction of a target area based on the distribution range, and at the same time, obtain an execution subject of the multi-dimensional acquisition method, and perform parameter configuration on the execution subject based on the distribution range, the scanning starting point and the scanning direction of the target area; The information collection unit is used to control the execution body of the multi-dimensional collection method to perform a global scan of the geographic information of the target area in parallel based on the parameter configuration result, and obtain the geographic information data of the target area corresponding to the multi-dimensional collection method based on the global scanning result.

3. A data configuration geographic information annotation operating system according to claim 2, characterized in that: The information collection unit includes: A data acquisition subunit is used to acquire the geographic information data of the target area and determine the classification conditions of the geographic information data based on the terminal source of the geographic information data; A data classification subunit is used to classify geographic information data based on classification conditions to obtain independent geographic information data, and to construct a distributed cache area in the management center based on the number of groups of independent geographic information data; The data cache subunit is used to cache independent geographic information data in distributed cache areas respectively, generate target indexes for each cache area based on the cache results, and return the target indexes to the management terminal for visual display.

4. A data configuration geographic information annotation operating system according to claim 1, characterized in that: Data acquisition module, including: A data processing unit, used to obtain geographic information data corresponding to the multi-dimensional acquisition method, and to unify the coordinates of the geographic information data based on a unified coordinate system; Match check unit, used to: Based on the coordinate unification result, the geographic information data corresponding to the different dimensional collection methods are aligned with feature points, and the deviation value of the geographic information data of the same geographical location is determined based on the feature point alignment result; The collected geographic information data is verified by multi-dimensional matching based on the deviation value.

5. A data configuration geographic information annotation operating system according to claim 4, characterized in that: Matching verification unit, including: Match check subunit, used for: Based on the relative size relationship between the deviation value and the preset distinction threshold, the geographic information data of the same geographic location is divided into a complete data set and a merged data set; Select representative information data of the same geographical location from the complete data set based on preset screening indicators; Perform feature analysis on the geographic information data collected in each dimension in the merged data set, determine the edge features of the geographic information data collected in each dimension, and determine the data splicing points of the geographic information data collected in each dimension based on the edge features; The geographic information data collected in each dimension are merged based on the data splicing points, and the geographic characteristics of the target area are obtained based on the merged results and representative information data.

6. A data configuration geographic information annotation operating system according to claim 1, characterized in that: Data verification module, including: A division unit is used to read the associated annotation result, determine a plurality of associated annotation pairs, form an associated annotation pair set, and randomly divide the associated annotation pair set into two equal parts to obtain a first associated annotation pair set and a second associated annotation pair set; Sampling detection unit, used for: Get the preset sampling detection method; Perform the first sampling on the associated annotation pair set according to the preset sampling detection method to obtain the first detection result Performing a second sampling on the first associated annotation pair set according to a preset sampling detection method to obtain a second detection result, and at the same time, performing a third sampling on the second associated annotation pair set according to the preset sampling detection method to obtain a third detection result; Respectively read a first associated annotation accuracy rate corresponding to the first detection result, a second associated annotation accuracy rate corresponding to the second detection result, and a third associated annotation accuracy rate corresponding to the third detection result; A calculation unit, used to calculate the average of the first associated annotation accuracy, the second associated annotation accuracy, and the third associated annotation accuracy to obtain a target associated annotation accuracy; A judgment unit, used for: Obtain the qualified threshold of the associated annotation accuracy, and compare the target associated annotation accuracy with the qualified threshold of the associated annotation accuracy to determine whether the sampling test results meet the expected requirements; If the target associated labeling accuracy is equal to or greater than the associated labeling accuracy qualified threshold, the sampling test result is determined to meet the expected requirements; Otherwise, it is determined that the sampling test results do not meet the expected requirements.

7. A data configuration geographic information annotation operating system according to claim 1, characterized in that: Data verification module, including: A data information acquisition unit, used for reading the first data information corresponding to the associated annotation result when the sampling detection result meets the expected requirements, and at the same time, reading the second data information corresponding to the associated annotation map; Archive unit for: The first data information is archived in a first manner, and the second data information is archived in a second manner; Based on the first archive result and the second archive result, the labeling operation of the geographic information is completed.

8. A data configuration geographic information annotation operation method, characterized in that: include: Step 1: Collect geographic information data of the target area based on a multi-dimensional collection method, and perform multi-dimensional matching verification on the collected geographic information data to obtain geographic features; Step 2: Based on the difference annotation method, geographic information is annotated on the map of the target area according to the geographic features. At the same time, an attached description text is generated based on the attribute information of the geographic features, and the geographic information annotation result is associated with the attached description text; Step 3: Perform sampling inspection on the associated annotation results, and when the sampling inspection results meet the expected requirements, archive the associated annotation results to complete the geographic information annotation operation; Wherein, step 2 includes: The obtained geographical features are obtained, and the boundary distribution features of different geographical feature areas are determined based on the geographical features; Based on the boundary distribution characteristics, different geographical feature areas are delineated, and at the same time, a map of the target area is loaded, and based on the loading results, the same geographical feature area is located on the map of the target area according to the position delineation results of different geographical feature areas; Based on the location delineation results, the phenomenon representations of different geographical feature areas are extracted respectively, and the different geographical feature areas are classified based on the phenomenon representations; Determine the difference annotation method for the map of the target area based on the classification results, and determine the annotation requirements for each category in the classification results based on the phenomenon representation; Adjust the parameters of the difference annotation method based on the annotation requirements, and annotate the geographic information of each type of geographic feature area in the map in parallel based on the parameter adjustment results; Match the geographical features of the target area with the preset geographical knowledge system to obtain the academic name of each geographical feature area in the geographical features. At the same time, extract keywords from the geographical information data of the target area based on the preset attribute tags, and perform semantic analysis on the extracted keywords to obtain the basic information of the geographical features. Prioritize the academic names and basic information of the same geographical feature area to obtain a list of attached explanatory texts; A description expansion map is generated based on the attached description text list, and the description expansion map is added in each type of geographic feature area, and the geographic information annotation result is associated with the attached description text based on the added result.

9. A data configuration geographic information annotation operation method according to claim 8, characterized in that: In step 1, geographic information data of the target area is collected based on a multi-dimensional collection method, including: Obtain basic information of the target area, and parse the basic information to obtain the distribution range of the target area; Determine the scanning starting point and scanning direction of the target area based on the distribution range, and at the same time, obtain the execution subject of the multi-dimensional acquisition method, and configure the parameters of the execution subject based on the distribution range, scanning starting point and scanning direction of the target area; Based on the parameter configuration result, the execution subject of the multi-dimensional acquisition method is controlled to perform a global scan of the geographic information of the target area in parallel, and the geographic information data of the target area corresponding to the multi-dimensional acquisition method is obtained respectively based on the global scanning result.

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