Remote sensing product-based geography teaching library construction method and equipment

Abstract

The invention relates to the technical field of geography teaching library construction, in particular to a remote sensing product-based geography teaching library construction method and equipment, and aims to improve the intuition of teaching contents. The geography teaching library comprises a first database and a second database. The geography teaching library construction method comprises the following steps: storing teaching courseware into an unstructured first database; storing the remote sensing product into a second database according to a preset data structure; performing word segmentation on the content of each teaching courseware in the first database; and establishing an association relationship between the teaching courseware and the remote sensing product in the second database according to the word segmentation result of each teaching courseware, and storing the association relationship in the first database. By using the method of the invention, not only teaching resources are enriched, but also the intuition of teaching contents is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of geography teaching library construction, and in particular to a method and equipment for constructing a geography teaching library based on remote sensing products. Background Art

[0002] The Geography Teaching Library is a comprehensive platform that integrates the collection, organization, storage, sharing and application of geography teaching resources. It is an important part of the informatization of geography education. It aims to improve the quality and efficiency of geography teaching by integrating, managing and sharing geography teaching resources.

[0003] The development of information technology has promoted the informatization of education, but the current geography teaching library has limited teaching resources, the teaching content lacks intuitiveness, and it is difficult to effectively convey complex geographical concepts. Summary of the invention

[0004] In order to solve the above problems in the prior art, the present invention proposes a method and device for constructing a geographical teaching library based on remote sensing products, which improves the intuitiveness of teaching content.

[0005] In a first aspect of the present invention, a method for constructing a geographical teaching library based on remote sensing products is proposed, wherein the geographical teaching library comprises: a first database and a second database; the method comprises:

[0006] Storing the teaching courseware in the first unstructured database;

[0007] Storing the remote sensing product in the second database according to a preset data structure;

[0008] Performing word segmentation on the content of each teaching courseware in the first database;

[0009] According to the word segmentation result of each teaching courseware, an association relationship is established between the teaching courseware and the remote sensing product in the second database, and the association relationship is stored in the first database.

[0010] Preferably, the step of "establishing an association relationship between the teaching courseware and the remote sensing product in the second database according to the word segmentation result of each teaching courseware, and storing the association relationship in the first database" includes:

[0011] Obtain one or more courseware keywords according to the word segmentation result;

[0012] According to the courseware keywords, the teaching courseware is matched with the remote sensing product in the second database, the ID and path of the matched remote sensing product are stored in the first database, and an association relationship is established with the teaching courseware;

[0013] The courseware keywords include: one or more place name keywords, and one or more knowledge type keywords.

[0014] Preferably, the data types of the remote sensing products include:

[0015] Landmark data, used to identify and display important geographical landmarks;

[0016] Zoning data, used to display administrative or geographic division information;

[0017] Three-dimensional data, used to provide a stereoscopic geospatial view;

[0018] Image data, used to show surface features and changes;

[0019] Vector data, which is used to represent the shape and location of geographic features;

[0020] Meteorological data, which reflects climate conditions and weather patterns;

[0021] Road data, used to display transportation network and route information;

[0022] Base maps, which provide a basic view of the geographic environment;

[0023] The annotated base map is formed by adding annotation information to the basic base map, and is used to locate and identify geographic elements.

[0024] Preferably, the step of "matching the teaching courseware with the remote sensing product in the second database according to the courseware keyword, storing the ID and path of the matched remote sensing product in the first database, and establishing an association relationship with the teaching courseware" includes:

[0025] Perform fuzzy matching on each of the place name keywords with the landmark name and landmark keyword in the landmark data to obtain a landmark data set; the landmark data includes: the landmark name, the center longitude and latitude coordinates and the landmark keyword;

[0026] Traversing the landmark data set to obtain a set of central longitude and latitude coordinates;

[0027] Matching each of the obtained central longitude and latitude coordinates with the spatial range in the division data to obtain an administrative division data set; the division data includes: an administrative division name and the spatial range;

[0028] Respectively obtain data in the three-dimensional data, the image data, the vector data, the meteorological data, and the road data whose geographical location belongs to the spatial range in the administrative division data set and whose data type fuzzily matches the knowledge type keyword, to form a three-dimensional data set, an image data set, a vector data set, a meteorological data set, and a road data set;

[0029] Fuzzy matching is performed on the knowledge type keywords with the keywords in the basic base map and the annotated base map to obtain a basic base map set and an annotated base map set;

[0030] The ID and path of each data in the landmark dataset, the administrative division dataset, the three-dimensional dataset, the image dataset, the vector dataset, the meteorological dataset, the road dataset, the basic base map set and the annotated base map set are obtained, and saved in the first database, and an association relationship is established with the teaching courseware.

[0031] Preferably, the geography teaching library further comprises: an unstructured third database;

[0032] The third database stores videos and pictures used for geography teaching;

[0033] The method further comprises:

[0034] Matching the courseware keywords with the keywords in the video and picture data to obtain a static data set;

[0035] The ID and path of each data in the static data set are obtained, saved in the first database, and associated with the teaching courseware.

[0036] Preferably, the geography teaching database further includes: an unstructured fourth database;

[0037] The fourth database stores a plurality of remote sensing information tools;

[0038] The method further comprises:

[0039] According to the data type of each remote sensing product in the second database, the remote sensing product is matched with the remote sensing information tool, the ID and path of the matched remote sensing information tool are stored in the second database, and an association relationship is established with the remote sensing product;

[0040] Among them, the types of remote sensing information tools include: perspective control tools, positioning and roaming tools, measurement and drawing tools, navigation and compass tools, data analysis and visualization tools, and comparison and fusion tools.

[0041] Preferably, the step of "matching the remote sensing product with the remote sensing information tool according to the data type of each remote sensing product in the second database, storing the ID and path of the matched remote sensing information tool in the second database, and establishing an association relationship with the remote sensing product" includes:

[0042] For each of the remote sensing products in the second database, determining the data type of the remote sensing product;

[0043] If the data type of the remote sensing product is the three-dimensional data, the ID and path of the navigation and compass tool and the data analysis and visualization tool are stored in the second database, and an association relationship is established with the remote sensing product;

[0044] If the data type of the remote sensing product is the image data, the ID and path of the positioning and roaming tool and the measuring and drawing tool are stored in the second database, and an association relationship is established with the remote sensing product;

[0045] If the data type of the remote sensing product is the vector data, the meteorological data or the road data, the ID and path of the measurement and drawing tool and the comparison and fusion tool are stored in the second database, and an association relationship is established with the remote sensing product;

[0046] If the data type of the remote sensing product is the basic base map, the ID and path of the measurement and drawing tool and the comparison and fusion tool are stored in the second database, and an association relationship is established with the remote sensing product;

[0047] If the data type of the remote sensing product is the annotated base map, the ID and path of the comparison and fusion tool are stored in the second database, and an association relationship is established with the remote sensing product;

[0048] If the data type of the remote sensing product is the zoning data, the ID and path of the viewing angle control tool are stored in the second database, and an association relationship is established with the remote sensing product;

[0049] If the data type of the remote sensing product is the landmark data, the ID and path of the viewing angle control tool and the positioning and roaming tool are stored in the second database, and an association relationship is established with the remote sensing product.

[0050] Preferably, the geography teaching library further includes: a pre-trained classification model;

[0051] The classification model is used to retrieve target courseware in the first database according to search keywords.

[0052] According to a second aspect of the present invention, an electronic device is provided, comprising a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and execute the method described above.

[0053] According to a third aspect of the present invention, a computer-readable storage device is provided, storing a computer program that can be loaded by a processor and execute the method described above.

[0054] The present invention has the following beneficial effects:

[0055] The method for constructing a geography teaching library based on remote sensing products proposed in the present invention establishes an association between teaching courseware and remote sensing products, so that remote sensing products can be used to help students understand geographical knowledge more intuitively in geography teaching. It can also provide teachers with convenient and efficient teaching resources, reducing the time and energy of teachers in preparing teaching materials, allowing them to focus more on teaching itself.

[0056] When matching teaching courseware with remote sensing products, first match them to specific administrative divisions based on landmark keywords, and then further match them based on knowledge type keywords to make the matching results more accurate.

[0057] Videos and pictures are stored and associated with teaching courseware to further enrich teaching resources. This fusion of multi-source data helps students acquire more comprehensive and in-depth geographical knowledge in their studies.

[0058] Store it in remote sensing information tools and establish an association with teaching courseware, so that remote sensing products can be fully utilized to generate rich and diverse teaching scenarios during the teaching process.

[0059] The classification model facilitates the retrieval of corresponding teaching courseware according to teaching needs, because the teaching courseware is associated with remote sensing products, videos and pictures, and remote sensing information tools. Therefore, after the teaching courseware is retrieved using the classification model, the resources in the geography teaching library constructed by the present invention can be fully utilized to implement teaching. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] Figure 1 It is a schematic diagram of the main steps of Embodiment 1 of the method for constructing a geographical teaching library based on remote sensing products of the present invention;

[0061] Figure 2 It is a schematic diagram of the main steps of Embodiment 2 of the method for constructing a geographical teaching library based on remote sensing products of the present invention;

[0062] Figure 3 It is a schematic diagram of the main steps of Example 3 of the method for constructing a geographical teaching library based on remote sensing products of the present invention. DETAILED DESCRIPTION

[0063] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0064] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0065] It should be noted that, in the description of the present invention, the terms "first" and "second" are only for the convenience of description, and do not indicate or imply the relative importance of the devices, elements or parameters, and therefore cannot be understood as limiting the present invention. In addition, the term "and / or" in the present invention is only a description of the corresponding relationship between associated objects, indicating that there may be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally indicates that the associated objects before and after are in an "or" relationship.

[0066] Remote sensing technology has the characteristics of a broad field of view and can cover the entire world or a large area. In particular, satellite remote sensing technology can easily obtain geographic data in areas with harsh natural conditions and difficult ground work, such as mountains, glaciers, and deserts. Therefore, the geography teaching scene library built based on this technology can contain rich geospatial information, covering a variety of terrain, landforms, and climate types, breaking through geographical limitations and providing students with more diverse geography learning scenes.

[0067] Figure 1 This is a schematic diagram of the main steps of the first embodiment of the method for constructing a geographical teaching library based on remote sensing products of the present invention. The geographical teaching library of this embodiment includes: a first database and a second database.

[0068] like Figure 1 As shown, the geography teaching library construction method of this embodiment includes steps A10-A40:

[0069] Step A10: store the teaching courseware into a first unstructured database.

[0070] In this embodiment, a collection script is established based on Python language, and geography teaching resources such as geography teaching related curriculum standards, courseware, exercises, etc. are automatically collected through authoritative open educational resources (OER), school internal resources and senior third-party education platforms. It is also possible to establish an input function based on Web technology to upload digital electronic courseware in batches. Then, a parsing program is constructed to automatically parse the collected or uploaded teaching resources, establish storage rules, and store them in the unstructured first database.

[0071] In this embodiment, the first database uses the Redis database, and the courseware can be stored in the following form:

[0072] "high_school:geography:xxx" / / Courseware ID

[0073] "chapter_class":"xxx" / / Courseware chapter

[0074] "chapter_title":"xxx" / / Courseware title

[0075] "chapter_conternt":"xxx" / / Course content

[0076] "chapter_img":"xxx" / / Courseware pictures

[0077] "chapter_video":"xxx" / / Courseware video

[0078] "chapter_remark":"xxx" / / Courseware description

[0079] "chapter_keyword":"xxx" / / Courseware label

[0080] A specific example of teaching courseware storage is as follows:

[0081] HMSET

[0082] "high_school:geography:one"

[0083] "chapter_class" "Earth in the Universe"

[0084] "chapter_title" "History of Earth"

[0085] "chapter_conternt""The Earth's Position in the Universe: On a clear night, looking up at the sky, you can see twinkling stars, nebulae with blurred outlines, and planets that are significantly displaced relative to the background of the sky; sometimes you can also see fleeting meteoroids and comets with long tails. These are all forms of matter in the universe, and they, together with astronomical telescopes or other space detection methods, can only be detected...."

[0086] "chapter_img""http: / / xxx / a.jpg; http: / / xxx / b.jpg"

[0087] "chapter_video""http: / / xxx / a.mp4; http: / / xxx / ab.mp4"

[0088] Step A20: storing the remote sensing products in the second database according to a preset data structure.

[0089] In this embodiment, the second database uses a structured spatial database PostgreSql combined with PostGis, and the preset data structure can be shown in Table 1 below:

[0090] Table 1 Preset data structure

[0091] name type illustrate name string Data name id string Data Identification remark string Data Description sort int Service Order browserimg string Thumbnail geometry string Spatial range url string Data Path service string Service Address type string Service Type map_num string Drawing review number centerlong number Center longitude centerlat number Center Latitude max_level int Maximum level of service min_level int Minimum level of service keyword string Keywords of data, used for matching classification retrieval, etc.

[0092] In this embodiment, the data types of remote sensing products include: landmark data, zoning data, three-dimensional data, image data, vector data, meteorological data, road data, basic base map and annotated base map.

[0093] Among them, landmark data includes landmark names, location information (latitude and longitude), description information, etc., providing convenient data support for various application scenarios, and used to identify and display important geographical signs; zoning data includes relevant spatial data generated by regional divisions implemented for global national hierarchical management, such as countries, provinces, cities, counties / districts, etc., expressed in the form of polygons (Polygon), including administrative division codes, names and other attributes for displaying administrative or geographical division information; three-dimensional data includes three-dimensional terrain models, building models, etc., for providing three-dimensional geographic spatial views; image data includes high-resolution satellite images, aerial images, etc., for displaying surface features and changes, such as research on surface coverage, land use, environmental monitoring, etc. Data; vector data is used to represent the shape and position of geographic features; meteorological data provides observation data of meteorological elements such as temperature, precipitation, and wind direction, which is used to reflect climate conditions and weather patterns; road data records information such as road networks and transportation facilities in detail, provides support for transportation planning and navigation services, and is used to display transportation networks and route information; basic base maps include standard map data, administrative division layer data, and classified area layer data. The data is stored in the form of raster or vector, and undergoes strict geographic coordinate correction and projection transformation to ensure the accuracy and consistency of the data, and is used to provide a basic view of the geographical environment; annotated base maps are formed by adding annotation information (such as place names, road names, water system names, etc.) to the basic base map, which is used to locate and identify geographic features.

[0094] These data types provide rich materials for geography teaching, supporting comprehensive display and in-depth analysis from macro to micro. Through the combination of spatial database PostGresql and PostGis, structured storage, normalization processing and consistent expression are carried out, including at least data identification, name, description, keyword, spatial range, service address and other attributes, ensuring the accessibility, maintainability and scalability of data, providing a solid data foundation for geography teaching and research.

[0095] Step A30: Segment the content of each teaching courseware in the first database.

[0096] Specifically, the courseware content stored in the first database is obtained, the IK segmentation plug-in (analysis-ik) is used, and the extended dictionary (ext.dic) and the stop word dictionary (stopword.dic) are configured to accurately segment the courseware content, and the segmentation results are output. In some embodiments, the extended segmentation dictionary and the stop word segmentation dictionary can also be adjusted based on the segmentation results to further improve the segmentation accuracy.

[0097] Expand the word segmentation dictionary: By adding professional vocabulary, ensure that the vocabulary related to geography teaching is correctly identified and segmented during the word segmentation process, thereby improving the accuracy of word segmentation. By collecting a large number of professional vocabulary from professional books, papers, reports, websites and other channels in the fields of geography teaching and remote sensing, sorting them, removing duplicates, and classifying them as needed, according to the requirements of the word segmentation tools or libraries used. Such as the basic concepts of the earth, map, longitude and latitude, hemisphere, time zone, etc., covering natural geographical elements such as topography, landform, climate, vegetation, hydrology, etc., including human geographical elements such as population, settlement, culture, economy, etc., involving modern geographical technologies such as remote sensing, geographic information system (GIS), global positioning system (GPS), etc., it helps teaching resources to extract more professional vocabulary in the field of geography and improve the accuracy of word segmentation matching.

[0098] Pause word segmentation dictionary: By identifying and processing pause words, the boundaries between words are clarified to avoid miscutting or sticking during the word segmentation process. In the text, in addition to normal words, there are also some punctuation marks, spaces, special characters, etc. used to separate sentences, phrases or words.

[0099] Step A40: Establish an association relationship between each teaching courseware and the remote sensing product in the second database according to the word segmentation result of each teaching courseware, and store the association relationship in the first database.

[0100] In this embodiment, step A40 may include steps A41-A42:

[0101] Step A41, obtaining one or more courseware keywords according to the word segmentation result.

[0102] The courseware keywords include: one or more place name keywords, and one or more knowledge type keywords.

[0103] Step A42: Match the teaching courseware with the remote sensing products in the second database according to the courseware keywords, store the ID and path of the matched remote sensing product in the first database, and establish an association relationship with the teaching courseware.

[0104] Specifically, step A42 may include steps A421-A426:

[0105] Step A421: perform fuzzy matching on each place name keyword with the landmark name and landmark keyword in the landmark data to obtain a landmark data set.

[0106] The landmark data includes: landmark name, center longitude and latitude coordinates and landmark keywords.

[0107] Step A422, traverse the landmark data set to obtain a set of center longitude and latitude coordinates.

[0108] Step A423, match each obtained center longitude and latitude coordinate with the spatial range in the zoning data to obtain an administrative zoning data set.

[0109] Among them, the regionalization data include: administrative division name, spatial range and remote sensing product path.

[0110] Specifically, one of the following two methods can be used to match administrative divisions:

[0111] (1) The obtained central longitude and latitude coordinates are directly intersected with the spatial range in the zoning data. The central longitude and latitude coordinate point is matched to the corresponding administrative district in which it falls.

[0112] (2) Generate a circular or custom-shaped area with the central longitude and latitude coordinates as the center and the specified buffer distance as the radius as the buffer area, find the intersection of the buffer area with the spatial range in the zoning data, and find the administrative districts that intersect with the buffer area.

[0113] Step A424, respectively obtain the data whose geographical location belongs to the spatial range in the administrative division dataset and whose data type fuzzily matches the knowledge type keyword in the three-dimensional data, image data, vector data, meteorological data and road data, to form a three-dimensional dataset, an image dataset, a vector dataset, a meteorological dataset and a road dataset.

[0114] Step A425: Fuzzy match the knowledge type keywords with the keywords in the basic base map and the annotated base map respectively to obtain the basic base map set and the annotated base map set.

[0115] Generally speaking, the basic base map and the annotated base map can represent geographic information ranging from local areas to the global scope. If the second database stores the basic base map and the annotated base map within the specific administrative division, the place name keyword and the knowledge type keyword need to be used simultaneously when matching.

[0116] Step A426, obtain the ID and path of each data in the landmark dataset, administrative division dataset, three-dimensional dataset, image dataset, vector dataset, meteorological dataset, road dataset, basic base map set and annotated base map set, save it to the first database, and establish an association with the teaching courseware.

[0117] For example, a passage in the courseware on common landform types describes, "Karst landform: Some of the rocks that make up the earth's crust are soluble rocks, such as limestone. Under appropriate conditions, the materials of this type of rock dissolve in water and are carried away, or re-precipitated, thus forming landforms of various shapes on the surface and underground, collectively known as karst landforms. The karst landforms in Guizhou, Yunnan and other places in my country are the most classic and widely distributed. It is the karst landforms in these areas that Xu Xiake described."

[0118] By performing word segmentation on the above text, we can extract keywords such as crust, karst, rock, surface, underground, landform, Xu Xiake, Guizhou, Yunnan, etc. The place name keywords can be matched to landmarks such as Guizhou and Yunnan. The landmark buffer range can be matched to Sichuan, Guizhou, Yunnan and city- and county-level administrative divisions. The spatial range of the administrative division can be matched to remote sensing products. At the same time, the knowledge type keywords such as crust, karst, landform, etc. can be combined with the keywords (keyword) in remote sensing products for further precise matching, so that the three-dimensional data, image data, meteorological data, road data, vector data, etc. in the remote sensing products can be matched with the courseware more accurately.

[0119] It should be noted that some of the data sets constructed in the above steps A421-A425 may be empty sets, that is, no remote sensing products of the relevant type are matched.

[0120] Figure 2 1 is a schematic diagram of the main steps of the second embodiment of the method for constructing a geography teaching library based on remote sensing products of the present invention. The geography teaching library of this embodiment includes: a first database, a second database and a third database. The unstructured third database stores videos and pictures for geography teaching. These animated description videos and pictures that explain the formation process of geographical features and the like help to better understand geographical knowledge. Figure 2 As shown, the geography teaching library construction method of this embodiment includes steps B10-B60:

[0121] Among them, steps B10-B40 correspond to steps A10-A40 in the above embodiment 1 respectively, and are not repeated here.

[0122] Step B50: Match the courseware keywords with the keywords in the video and picture data to obtain a static data set.

[0123] Step B60: Obtain the ID and path of each data in the static data set, save it to the first database, and establish an association relationship with the teaching courseware.

[0124] Figure 3 1 is a schematic diagram of the main steps of the third embodiment of the method for constructing a geographical teaching library based on remote sensing products of the present invention. The geographical teaching library of this embodiment includes: a first database, a second database, a third database and a fourth database. The unstructured fourth database stores multiple remote sensing information tools. Figure 3 As shown, the geography teaching library construction method of this embodiment includes steps C10-C70:

[0125] Among them, steps C10-C70 correspond to steps B10-B60 in the above second embodiment respectively and are not repeated here.

[0126] Step C70: Match the remote sensing product with the remote sensing information tool according to the data type of each remote sensing product in the second database, store the ID and path of the matched remote sensing information tool in the second database, and establish an association relationship with the remote sensing product.

[0127] The types of remote sensing information tools include: viewing angle control tools, positioning and roaming tools, measurement and drawing tools, navigation and compass tools, data analysis and visualization tools, and comparison and fusion tools, as shown in Table 2 below:

[0128] Table 2 Remote sensing information tools

[0129]

[0130]

[0131] In this embodiment, the specific storage structure of the remote sensing information tool is as follows:

[0132] "high_school:tool:xxx" / / tool identifier

[0133] "tool_class":"xxx" / / Tool classification

[0134] "tool_title":"xxx" / / Tool title

[0135] "tool_remark":"xxx" / / Tool description

[0136] "tool_code":"xxx" / / Tool code block

[0137] "tool_word":"xxx" / / Tool keyword

[0138] "tool_resource":"xxx" / / Image ID

[0139] Specifically, in this embodiment, step C70 may include steps C71-C78:

[0140] Step C71: for each remote sensing product in the second database, determine the data type of the remote sensing product;

[0141] Step C72: If the data type of the remote sensing product is three-dimensional data, the ID and path of the navigation and compass tool and the data analysis and visualization tool are stored in the second database, and an association relationship is established with the remote sensing product.

[0142] Step C73: If the data type of the remote sensing product is image data, the IDs and paths of the positioning and roaming tool and the measuring and drawing tool are stored in the second database, and an association relationship is established with the remote sensing product.

[0143] Step C74: If the data type of the remote sensing product is vector data, meteorological data or road data, the ID and path of the measurement and drawing tool and the comparison and fusion tool are stored in the second database, and an association relationship is established with the remote sensing product.

[0144] Step C75: If the data type of the remote sensing product is a base map, the IDs and paths of the measurement and drawing tools and the comparison and fusion tools are stored in the second database, and an association relationship is established with the remote sensing product.

[0145] Step C76: If the data type of the remote sensing product is a labeled base map, the ID and path of the comparison and fusion tool are stored in the second database, and an association relationship is established with the remote sensing product.

[0146] Step C77: If the data type of the remote sensing product is zoning data, the ID and path of the viewing angle control tool are stored in the second database, and an association relationship is established with the remote sensing product.

[0147] Step C78: If the data type of the remote sensing product is landmark data, the ID and path of the viewing angle control tool and the positioning and roaming tool are stored in the second database, and an association relationship is established with the remote sensing product.

[0148] Remote sensing information tools provide a richer and more intuitive geographic information experience for the application of remote sensing technology. Using remote sensing information tools to learn and understand geographical knowledge can greatly improve the expressive ability of geography teaching.

[0149] In an optional embodiment, the geography teaching library may further include: a pre-trained classification model. The classification model is used to retrieve target courseware in the first database according to the search keyword. For example, according to the teaching requirement "display karst landform" input by the user, the search keyword "karst landform" can be extracted therefrom, and then the text classification model can retrieve the target courseware about karst landform in the first database according to this keyword.

[0150] Construction of the data set: The courseware word segmentation is converted into 70% training set, 20% validation set and 10% test set, with the courseware name as the classification label.

[0151] Selection of classification model: The classification model can use the deep learning model BERT model transformers library, select the BERT-base-chinese version, and convert the text into a format that BERT can process, including token ids and attention masks.

[0152] Training of classification models: Define training loop parameters, including learning rate, batch size, training rounds, optimizer, etc., iteratively train the model on the training set, calculate the loss through forward propagation, and then use backpropagation and optimizer to update the model parameters. After each training round (epoch) or every few batch sizes (batch), evaluate the model performance on the validation set and save the model with the best performance.

[0153] Evaluation of classification models: Use the test set to evaluate the performance of the final model to obtain an unbiased estimate of performance and analyze the classification results of the model to see if there are any classification errors or specific patterns of errors.

[0154] Iteration of classification model: Iterative training process. When the model matching rate does not meet the preset threshold, additional teaching resources are collected and a new training set is constructed to continue training the model.

[0155] After the entire geography teaching library of this embodiment is constructed, if the user wants to use the teaching library, he can first input the teaching requirements through the human-computer interaction interface, and then the search program extracts the search keywords for the teaching requirements and calls the classification model to find the target courseware. Next, with the help of remote sensing information tools, and based on the association between the target courseware and remote sensing products, the association between the courseware and videos and pictures, and the association between remote sensing products and remote sensing information tools, a richer and more intuitive geography learning experience can be provided for users.

[0156] Although the various steps in the above embodiment are described in the above-mentioned order, those skilled in the art can understand that in order to achieve the effect of this embodiment, different steps do not have to be executed in such an order. They can be executed simultaneously (in parallel) or in a reverse order. These simple changes are within the scope of protection of the present invention.

[0157] Furthermore, based on the above method embodiment, the present invention also provides an embodiment of an electronic device. The electronic device of this embodiment includes a memory and a processor, and the memory stores a computer program that can be loaded by the processor and execute the above method.

[0158] Furthermore, based on the above method embodiment, the present invention also provides an embodiment of a computer-readable storage device. The storage device of this embodiment stores a computer program that can be loaded by a processor and execute the above method.

[0159] The computer-readable storage device may include: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes.

[0160] Those skilled in the art should be able to appreciate that the method steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of electronic hardware and software, the composition and steps of each example have been generally described in the above description according to function. Whether these functions are performed in electronic hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art may use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0161] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

Claims

1. A method for constructing a geographical teaching library based on remote sensing products, characterized in that: The geography teaching library comprises: a first database and a second database; the method comprises: Storing the teaching courseware in the first unstructured database; Storing the remote sensing product in the second database according to a preset data structure; Performing word segmentation on the content of each teaching courseware in the first database; According to the word segmentation result of each teaching courseware, an association relationship is established between the teaching courseware and the remote sensing product in the second database, and the association relationship is stored in the first database.

2. The method for constructing a geographical teaching library based on remote sensing products according to claim 1, characterized in that: The step of "establishing an association relationship between the teaching courseware and the remote sensing product in the second database according to the word segmentation result of each teaching courseware, and storing the association relationship in the first database" includes: Obtain one or more courseware keywords according to the word segmentation result; According to the courseware keywords, the teaching courseware is matched with the remote sensing products in the second database, the ID and path of the matched remote sensing products are stored in the first database, and an association relationship is established with the teaching courseware; The courseware keywords include: one or more place name keywords, and one or more knowledge type keywords.

3. The method for constructing a geographical teaching library based on remote sensing products according to claim 2 is characterized in that: The data types of remote sensing products include: Landmark data, used to identify and display important geographical landmarks; Zoning data, used to display administrative or geographic division information; Three-dimensional data, used to provide a stereoscopic geospatial view; Image data, used to show surface features and changes; Vector data, which is used to represent the shape and location of geographic features; Meteorological data, which reflects climate conditions and weather patterns; Road data, used to display transportation network and route information; Base maps, which provide a basic view of the geographic environment; The annotated base map is formed by adding annotation information to the basic base map, and is used to locate and identify geographic elements.

4. The method for constructing a geographical teaching library based on remote sensing products according to claim 3 is characterized in that: The step of "matching the teaching courseware with the remote sensing product in the second database according to the courseware keyword, storing the ID and path of the matched remote sensing product in the first database, and establishing an association relationship with the teaching courseware" includes: Perform fuzzy matching on each of the place name keywords with the landmark name and landmark keyword in the landmark data to obtain a landmark data set; the landmark data includes: the landmark name, the center longitude and latitude coordinates and the landmark keyword; Traversing the landmark data set to obtain a set of central longitude and latitude coordinates; Matching each of the obtained central longitude and latitude coordinates with the spatial range in the division data to obtain an administrative division data set; the division data includes: an administrative division name and the spatial range; Respectively obtain data in the three-dimensional data, the image data, the vector data, the meteorological data, and the road data whose geographical location belongs to the spatial range in the administrative division data set and whose data type fuzzily matches the knowledge type keyword, to form a three-dimensional data set, an image data set, a vector data set, a meteorological data set, and a road data set; Fuzzy matching is performed on the knowledge type keywords with the keywords in the basic base map and the annotated base map to obtain a basic base map set and an annotated base map set; The ID and path of each data in the landmark dataset, the administrative division dataset, the three-dimensional dataset, the image dataset, the vector dataset, the meteorological dataset, the road dataset, the basic base map set and the annotated base map set are obtained, and saved in the first database, and an association relationship is established with the teaching courseware.

5. The method for constructing a geographical teaching library based on remote sensing products according to claim 3 is characterized in that: The geography teaching library also includes: an unstructured third database; The third database stores videos and pictures used for geography teaching; The method further comprises: Matching the courseware keywords with the keywords in the video and picture data to obtain a static data set; The ID and path of each data in the static data set are obtained, saved in the first database, and associated with the teaching courseware.

6. The method for constructing a geographical teaching library based on remote sensing products according to claim 3 is characterized in that: The geography teaching library also includes: an unstructured fourth database; The fourth database stores a plurality of remote sensing information tools; The method further comprises: According to the data type of each remote sensing product in the second database, the remote sensing product is matched with the remote sensing information tool, the ID and path of the matched remote sensing information tool are stored in the second database, and an association relationship is established with the remote sensing product; Among them, the types of remote sensing information tools include: perspective control tools, positioning and roaming tools, measurement and drawing tools, navigation and compass tools, data analysis and visualization tools, and comparison and fusion tools.

7. The method for constructing a geographical teaching library based on remote sensing products according to claim 6 is characterized in that: The step of "matching the remote sensing product with the remote sensing information tool according to the data type of each remote sensing product in the second database, storing the ID and path of the matched remote sensing information tool in the second database, and establishing an association relationship with the remote sensing product" includes: For each of the remote sensing products in the second database, determining the data type of the remote sensing product; If the data type of the remote sensing product is the three-dimensional data, the ID and path of the navigation and compass tool and the data analysis and visualization tool are stored in the second database, and an association relationship is established with the remote sensing product; If the data type of the remote sensing product is the image data, the ID and path of the positioning and roaming tool and the measuring and drawing tool are stored in the second database, and an association relationship is established with the remote sensing product; If the data type of the remote sensing product is the vector data, the meteorological data or the road data, the ID and path of the measurement and drawing tool and the comparison and fusion tool are stored in the second database, and an association relationship is established with the remote sensing product; If the data type of the remote sensing product is the basic base map, the ID and path of the measurement and drawing tool and the comparison and fusion tool are stored in the second database, and an association relationship is established with the remote sensing product; If the data type of the remote sensing product is the annotated base map, the ID and path of the comparison and fusion tool are stored in the second database, and an association relationship is established with the remote sensing product; If the data type of the remote sensing product is the zoning data, the ID and path of the viewing angle control tool are stored in the second database, and an association relationship is established with the remote sensing product; If the data type of the remote sensing product is the landmark data, the ID and path of the viewing angle control tool and the positioning and roaming tool are stored in the second database, and an association relationship is established with the remote sensing product.

8. The method for constructing a geographical teaching library based on remote sensing products according to any one of claims 1 to 7, characterized in that: The geography teaching library also includes: a pre-trained classification model; The classification model is used to retrieve target courseware in the first database according to search keywords.

9. An electronic device, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and execute the method according to any one of claims 1 to 8.

10. A computer-readable storage device, characterized in that: A computer program is stored which can be loaded by a processor and execute the method according to any one of claims 1 to 8.

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