Data configuration geographic information labeling operation system and method

Abstract

The invention provides a data configuration geographic information labeling operation system and method, and the system comprises a data collection module which is used for collecting geographic information data of a target region based on a multi-dimensional collection mode, and carrying out the multi-dimensional matching verification of the collected geographic information data, and obtaining geographic features; the information labeling module is used for carrying out geographic information labeling on a map of a target area according to the geographic features on the basis of a difference labeling mode, generating an affiliated description text on the basis of attribute information of the geographic features, and carrying out association labeling on a geographic information labeling result and the affiliated description text; and the data verification module is used for carrying out sampling detection on the associated labeling result, and archiving the associated labeling result when a sampling detection result meets an expected requirement so as to complete geographic information labeling operation. The accuracy and reliability of the finally obtained labeling result are ensured, meanwhile, the efficiency of the geographic information labeling operation is improved, the labeling operation is simplified, and the geographic information labeling effect is improved.

Description

Technical Field

[0001] The present invention relates to the field of geographic information processing technology, and in particular to a data configuration geographic information annotation operating system and method. Background Art

[0002] At present, with the rapid development and widespread application of information technology, the importance of geographic information systems in various fields has become increasingly prominent. In many application scenarios, a large amount of data needs to be accurately labeled 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, which leads to difficulties in data sharing and collaborative work, thus greatly reducing the effect of geographic information annotation.

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

[0005] The present invention provides a data configuration geographic information annotation operating 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, thereby ensuring the reliability and comprehensiveness of the finally obtained geographic information data, thereby providing a reliable guarantee for determining geographic features. Secondly, geographic information annotation is performed on a map of the target area according to the obtained geographic features through a difference annotation method, which is convenient for effectively distinguishing different geographic features according to the difference annotation method. At the same time, an attached description 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 results are associated with the attached description text, which provides convenience for users to effectively understand different geographic features. Finally, the associated annotation results are tested, and the associated annotation results are archived after the test is passed, thereby ensuring the accuracy and reliability of the finally obtained annotation results. At the same time, the efficiency of the geographic information annotation operation is improved, the annotation operation is simplified, and the effect of the geographic information annotation is improved.

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

[0007] 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;

[0008] 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;

[0009] 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.

[0010] Preferably, a data configuration geographic information annotation operating system, a data acquisition module, comprises:

[0011] 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;

[0012] 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;

[0013] 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.

[0014] Preferably, a data configuration geographic information annotation operating system, an information collection unit, comprises:

[0015] 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;

[0016] 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;

[0017] 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.

[0018] Preferably, a data configuration geographic information annotation operating system, a data acquisition module, comprises:

[0019] 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;

[0020] Match check unit, used for:

[0021] 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;

[0022] The collected geographic information data is verified by multi-dimensional matching based on the deviation value.

[0023] Preferably, a data configuration geographic information annotation operating system, a matching verification unit, comprises:

[0024] Match check subunit, used for:

[0025] 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;

[0026] Select representative information data of the same geographical location from the complete data set based on preset screening indicators;

[0027] 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;

[0028] 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.

[0029] Preferably, a data configuration geographic information annotation operating system, an information annotation module, comprises:

[0030] The result acquisition unit is used to:

[0031] The obtained geographical features are obtained, and the boundary distribution features of different geographical feature areas are determined based on the geographical features;

[0032] 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;

[0033] Annotation unit for:

[0034] 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;

[0035] 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;

[0036] 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;

[0037] Description text generation unit, used to:

[0038] 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.

[0039] Prioritize the academic names and basic information of the same geographical feature area to obtain a list of attached explanatory texts;

[0040] 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.

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

[0042] 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;

[0043] Sampling detection unit, used for:

[0044] Get the preset sampling detection method;

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

[0046] 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;

[0047] 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;

[0048] 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;

[0049] A judgment unit, used for:

[0050] 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;

[0051] 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;

[0052] Otherwise, it is determined that the sampling test results do not meet the expected requirements.

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

[0054] 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;

[0055] Archive unit for:

[0056] The first data information is archived in a first manner, and the second data information is archived in a second manner;

[0057] Based on the first archive result and the second archive result, the labeling operation of the geographic information is completed.

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

[0059] 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;

[0060] 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;

[0061] 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.

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

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

[0064] 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;

[0065] 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.

[0066] Compared with the prior art, the present invention has the following beneficial effects:

[0067] 1. The geographic information data of the target area is collected through a multi-dimensional collection method, and the collected geographic information data is checked for multi-dimensional matching, ensuring the reliability and comprehensiveness of the final geographic information data, thereby providing a reliable guarantee for determining geographic features. Secondly, the geographic information is annotated on the map of the target area according to the obtained geographic features through a difference annotation method, which is convenient for effectively distinguishing different geographic features according to the difference annotation method. At the same time, the attached description 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 results are associated with the attached description text, which provides convenience for users to effectively understand different geographic features. Finally, the associated annotation results are tested, and the associated annotation results are archived after the test is passed, ensuring the accuracy and reliability of the final annotation results. At the same time, the efficiency of geographic information annotation operations is improved, the annotation operations are simplified, and the effect of geographic information annotation is improved.

[0068] 2. By analyzing the basic information of the target area, the distribution range, scanning starting point and scanning direction of the target area can be accurately and effectively determined, providing a reliable reference for the collection of geographic information data. Secondly, the execution subject of the multi-dimensional collection method is configured with parameters through the determined distribution range, scanning starting point and scanning direction to ensure the execution effect of the execution subject. Finally, according to the parameter configuration results, the geographic information of the target area is globally scanned in parallel through the execution subject, so as to achieve comprehensive and effective acquisition of the geographic information data of the target area, providing reliable data support and convenience for geographic information annotation operations.

[0069] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures specifically pointed out in this application document.

[0070] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0071] The accompanying 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 of the present invention. In the accompanying drawings:

[0072] Figure 1 A structural diagram of a data configuration geographic information annotation operating system in an embodiment of the present invention;

[0073] Figure 2 A structural diagram of a data acquisition module in a data configuration geographic information annotation operating system in an embodiment of the present invention;

[0074] Figure 3 The present invention is a flowchart of a method for configuring geographic information annotation for data in an embodiment of the present invention. DETAILED DESCRIPTION

[0075] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0076] Embodiment 1:

[0077] This embodiment provides a data configuration geographic information annotation operating system, such as Figure 1 As shown, including:

[0078] 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;

[0079] 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;

[0080] 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.

[0081] In this embodiment, the multi-dimensional collection method is known in advance, which is a variety of different types of geographic information data collection methods, including satellite collection, drone collection, and GPS collection.

[0082] In this embodiment, the target area refers to an area that needs to be managed by geographic information marking operations.

[0083] In this embodiment, the geographic information data refers to various geographic information of the target area, including roads, buildings, vegetation distribution, 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 collection method, so as to facilitate the improvement of the geographic information data of the target area and ensure the reliability of the geographic information data.

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

[0086] In this embodiment, the difference marking method refers to marking different geographical features in different ways, so as to facilitate distinguishing different geographical features according to the difference marking method.

[0087] In this embodiment, geographic information labeling refers to marking different geographic features by using certain colors or labeling symbols.

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

[0089] In this embodiment, the attached description text refers to the text generated based on the attribute information and used to mark different geographical features in detail.

[0090] In this embodiment, the associative annotation refers to binding the geographic information annotation result and the attached description text corresponding to the same geographic feature.

[0091] In this embodiment, the preset requirement is set in advance, for example, it may be a requirement for accuracy value.

[0092] The working principle and beneficial effects of the above technical solution are: the geographic information data of the target area is collected through a multi-dimensional collection method, and the collected geographic information data is checked for multi-dimensional matching, so as to ensure the reliability and comprehensiveness of the finally obtained geographic information data, thereby providing a reliable guarantee for determining the geographic features; secondly, the geographic information is marked on the map of the target area according to the obtained geographic features through a difference marking method, so as to facilitate the effective distinction of different geographic features according to the difference marking method; at the same time, the attached description text is generated according to the attribute information of the geographic features, so as to facilitate the effective determination of the detailed information of different geographic features, and the geographic information marking results are associated with the attached description text, so as to facilitate the effective understanding of different geographic features by users; finally, the associated marking results are tested, and the associated marking results are archived after the test is passed, so as to ensure the accuracy and reliability of the finally obtained marking results; at the same time, the efficiency of the geographic information marking operation is improved, the marking operation is simplified, and the effect of the geographic information marking is improved.

[0093] Embodiment 2:

[0094] Based on Example 1, this example provides a data configuration geographic information annotation operating system, such as Figure 2 As shown, the data acquisition module includes:

[0095] 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;

[0096] 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;

[0097] 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.

[0098] In this embodiment, the basic information refers to the location of the target area and the area distribution characteristics of the target area, etc., wherein the area distribution characteristics are the distribution range of the target area.

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

[0100] In this embodiment, the execution subject refers to the execution terminal corresponding to the multi-dimensional acquisition method, for example, it can be a satellite or a drone.

[0101] In this embodiment, parameter configuration refers to setting a scanning scheme for the execution subject according to the distribution range of the target area, the scanning starting point and the scanning direction, in order to control the execution subject to perform effective scanning according to the determined parameters.

[0102] The working principle and beneficial effects of the above technical solution are: by parsing the basic information of the target area, the distribution range, scanning starting point and scanning direction of the target area can be accurately and effectively determined, providing a reliable reference basis for the collection of geographic information data; secondly, the execution subject of the multi-dimensional collection method is configured with parameters through the determined distribution range, scanning starting point and scanning direction, so as to ensure the execution effect of the execution subject; finally, according to the parameter configuration results, the geographic information of the target area is globally scanned in parallel through the execution subject, so as to realize comprehensive and effective acquisition of the geographic information data of the target area, providing reliable data support and convenience for geographic information annotation operations.

[0103] Embodiment 3:

[0104] Based on Example 2, this embodiment provides a data configuration geographic information annotation operating system, the information collection unit includes:

[0105] 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;

[0106] 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;

[0107] 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.

[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 of the geographic information data according to the acquisition type, such as satellite images, drone images, and GPS data.

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

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

[0111] In this embodiment, the target index is used to record the cache locations of different categories of geographic information data in the distributed cache area, so as to facilitate rapid locking of the corresponding geographic information data when retrieving it.

[0112] The working principle and beneficial effects of the above technical solution are: by accurately and effectively determining the classification conditions of geographic information data according to the terminal source, the geographic 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 results to effectively store different categories of geographic information data in the corresponding storage areas; finally, a target index is generated according to the storage results, and the target index is returned to the management terminal, so as to facilitate the timely and effective retrieval of the corresponding geographic information data when performing geographic information annotation operations.

[0113] Embodiment 4:

[0114] Based on Example 1, this embodiment provides a data configuration geographic information annotation operating system, a data acquisition module, including:

[0115] 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;

[0116] Match check unit, used for:

[0117] 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;

[0118] The collected geographic information data is verified by multi-dimensional matching based on the deviation value.

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

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

[0121] In this embodiment, the deviation value refers to the deviation that exists after collecting geographic information of a unified geographic location in different dimensional collection methods.

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

[0123] The working principle and beneficial effects of the above technical solution are: by adopting a unified coordinate system to unify the coordinates of the geographic information data collected by multi-dimensional collection methods, it is convenient to uniformly process the geographic information data corresponding to different dimensional collection methods; secondly, the feature points of the geographic information data with unified coordinates are aligned to achieve accurate and effective determination of the deviation value of the geographic information data of the same geographical location; finally, the geographic information data is matched and verified in multiple dimensions according to the deviation value, which ensures the accuracy and reliability of the geographic information data of the target area finally obtained, and also provides a guarantee for the geographic information labeling operation.

[0124] Embodiment 5:

[0125] Based on Example 4, this embodiment provides a data configuration geographic information annotation operating system, a matching verification unit, including:

[0126] Match check subunit, used for:

[0127] 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;

[0128] Select representative information data of the same geographical location from the complete data set based on preset screening indicators;

[0129] 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;

[0130] 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.

[0131] In this embodiment, the preset distinction threshold is set in advance and is used to measure whether the current deviation value meets the reference value of the allowable deviation, and can be adjusted.

[0132] In this embodiment, the complete data set means that the geographic information data collected in each dimension collection method includes complete surface information.

[0133] In this embodiment, the merged data set refers to a geographic information data set in which the collected geographic information data is incomplete in different dimensional collection modes.

[0134] In this embodiment, the preset screening index is known in advance.

[0135] In this embodiment, the representative information data refers to geographic information data selected from a plurality of complete data as the current geographic location.

[0136] In this embodiment, feature analysis refers to determining the geographic features represented by the geographic information data collected in each dimensional manner in the merged data set, thereby facilitating the determination of the complete geographic information of the location through the geographic information data corresponding to the multi-dimensional collection 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 collected in various dimensions.

[0138] In this embodiment, the data splicing point refers to a specific data node for splicing and integrating geographic information data collected in different dimensional ways.

[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 distinction threshold, the geographic 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 analyzed separately to achieve accurate, comprehensive and effective acquisition of the geographic information data of the target area, thereby ensuring the reliability of the geographic information labeling operation.

[0140] Embodiment 6:

[0141] Based on Example 1, this embodiment provides a data configuration geographic information annotation operating system, an information annotation module, including:

[0142] The result acquisition unit is used to:

[0143] The obtained geographical features are obtained, and the boundary distribution features of different geographical feature areas are determined based on the geographical features;

[0144] 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;

[0145] Annotation unit for:

[0146] 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;

[0147] 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;

[0148] 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;

[0149] Description text generation unit, used to:

[0150] 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.

[0151] Prioritize the academic names and basic information of the same geographical feature area to obtain a list of attached explanatory texts;

[0152] 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.

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

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

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

[0156] In this embodiment, the phenomenon representation refers to the appearance of different geographical feature areas, for example, the phenomenon representation of "forest" is a piece of green, the phenomenon representation of "house" is a regular square, and so on.

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

[0158] In this embodiment, the preset geographical knowledge system is known in advance, including the academic names corresponding to various types of geographical features and the associations between the geographical features.

[0159] In this embodiment, the academic name refers to data used to characterize different geographical features, such as "forest" and "ravine".

[0160] In this embodiment, the preset attribute label is known in advance and is used to characterize the data or parameter type that needs to be extracted.

[0161] In this embodiment, the keywords refer to parameters that can characterize the basic characteristics of geographic information data, including distribution area, location, altitude and other information.

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

[0163] In this embodiment, the description retractable image refers to converting the attached description text list into an icon form, and can be enlarged and reduced.

[0164] The working principle and beneficial effects of the above technical solution are as follows: by analyzing the geographical features, the boundary distribution characteristics of different geographical feature areas can be accurately and effectively determined, so that different geographical feature areas can be divided according to the boundary distribution characteristics; secondly, the map of the target area is obtained, and the corresponding geographical feature areas can be accurately and effectively located on the map according to the division results of different geographical feature areas; the phenomenon representations of different geographical feature areas are extracted according to the positioning results, so that different geographical feature areas can be classified according to the phenomenon representations, thereby effectively determining the difference annotation methods of different categories; finally, the geographical feature areas of the corresponding categories are annotated with geographical information according to the difference annotation methods; at the same time, the geographical features are matched with the preset geographical knowledge system, so that the academic names and basic information of the geographical features can be effectively determined, thereby determining the list of attached description texts of different geographical feature areas, and the attached description text list is generated into an explanation telescopic map and then associated with the geographical information annotation results, thereby improving the accuracy and comprehensiveness of geographical information annotation, improving the efficiency of geographical information annotation operations, and improving the effect of geographical information annotation.

[0165] Embodiment 7:

[0166] Based on Example 1, this embodiment provides a data configuration geographic information annotation operating system, a data verification module, including:

[0167] 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;

[0168] Sampling detection unit, used for:

[0169] Get the 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] 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;

[0172] 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;

[0173] 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;

[0174] A judgment unit, used for:

[0175] 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;

[0176] 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;

[0177] Otherwise, it is determined that the sampling test results do not meet the expected requirements.

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

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

[0182] In this embodiment, the first associated labeling accuracy, the second associated labeling accuracy and the third associated labeling accuracy are all calculated after comparing the sampling test results with the standard results, and are obtained after multiple samplings. For example, a total of ten samples are taken, and eight of them are consistent with the standard results, then the corresponding accuracy is 80%.

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

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

[0185] The working principle and beneficial effects of the above technical solution are: by analyzing the associated annotation results, the associated annotation results are divided into two equal parts, and sampling detection is performed on the associated annotation results based on the two-part division results, so as to achieve accurate and effective verification of the geographic information annotation results of the target area, thereby facilitating the timely discovery of abnormal situations when annotation anomalies occur, thereby ensuring the accuracy and reliability of geographic information annotation.

[0186] Embodiment 8:

[0187] Based on Example 1, this embodiment provides a data configuration geographic information annotation operating system, a data verification module, including:

[0188] 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;

[0189] Archive unit for:

[0190] The first data information is archived in a first manner, and the second data information is archived in a second manner;

[0191] Based on the first archive result and the second archive result, the labeling operation of the geographic information is completed.

[0192] In this embodiment, the first information refers to the results of marking 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 marked.

[0194] The working principle and beneficial effect of the above technical solution are: by distinguishing and archiving the associated annotation information and maps, it is convenient to effectively manage different data and provide a reference basis for subsequent other map annotations.

[0195] Embodiment 9:

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

[0197] 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;

[0198] 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;

[0199] 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.

[0200] The working principle and beneficial effects of the above technical solution are: the geographic information data of the target area is collected through a multi-dimensional collection method, and the collected geographic information data is checked for multi-dimensional matching, so as to ensure the reliability and comprehensiveness of the finally obtained geographic information data, thereby providing a reliable guarantee for determining the geographic features; secondly, the geographic information is marked on the map of the target area according to the obtained geographic features through a difference marking method, so as to facilitate the effective distinction of different geographic features according to the difference marking method; at the same time, the attached description text is generated according to the attribute information of the geographic features, so as to facilitate the effective determination of the detailed information of different geographic features, and the geographic information marking results are associated with the attached description text, so as to facilitate the effective understanding of different geographic features by users; finally, the associated marking results are tested, and the associated marking results are archived after the test is passed, so as to ensure the accuracy and reliability of the finally obtained marking results; at the same time, the efficiency of the geographic information marking operation is improved, the marking operation is simplified, and the effect of the geographic information marking is improved.

[0201] Embodiment 10:

[0202] Based on Example 9, this example provides a data configuration geographic information annotation operation method. In step 1, geographic information data of a target area is collected based on a multi-dimensional collection method, including:

[0203] Obtain basic information of the target area, and parse 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, 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;

[0205] 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.

[0206] The working principle and beneficial effects of the above technical solution are: by parsing the basic information of the target area, the distribution range, scanning starting point and scanning direction of the target area can be accurately and effectively determined, providing a reliable reference basis for the collection of geographic information data; secondly, the execution subject of the multi-dimensional collection method is configured with parameters through the determined distribution range, scanning starting point and scanning direction, so as to ensure the execution effect of the execution subject; finally, according to the parameter configuration results, the geographic information of the target area is globally scanned in parallel through the execution subject, so as to realize comprehensive and effective acquisition of the geographic information data of the target area, providing reliable data support and convenience for geographic information annotation operations.

[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 equivalents, the present invention is also intended to include these modifications and variations.

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.

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 for: 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: Information annotation module, including: 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.

7. 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.

8. The 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.

9. 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.

10. A data configuration geographic information annotation operation method according to claim 9, 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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