Multi-dimensional information cursor generation method based on micro-layout data screening

Abstract

The invention relates to the technical field of mobile internet, and provides a multi-dimensional information cursor generation method based on micro-layout data screening, and the method comprises the steps: generating an initial medium communication code according to static coding information and dynamic coding information; constructing an operation space and a data space; scanning the initial medium communication code to obtain initial static and dynamic cognitive data including interaction data; updating the initial medium communication code through the interaction data to obtain a target medium communication code; obtaining target static and dynamic cognitive data through primary screening and secondary screening; obtaining a target cognitive data chain and a target cognitive data cluster through the target static and dynamic cognitive data; obtaining a reference task target through the target cognitive data chain and the target cognitive data cluster; medium equipment is selected, the target medium communication code is read through the medium equipment, and a multi-dimensional information cursor is generated. According to the method, the multi-dimensional data environment adaptive capacity and the multi-device cooperation capacity of the cursor are effectively improved.

Description

Technical Field

[0001] The present invention relates to the field of mobile Internet technology, and in particular to a method for generating a multi-dimensional information cursor based on micro-page data screening. Background Art

[0002] Traditional GUI cursors are mainly used for position indication and simple operations on a two-dimensional plane. They lack functionality and expressiveness in complex multidimensional data environments, and are difficult to effectively express and operate multidimensional data structures, and are also unable to effectively screen data, which makes them unable to meet the requirements of modern education and office environments for processing multi-level and multi-dimensional data. The limitations of traditional GUI cursors are particularly evident when it comes to large-scale group collaboration and cross-platform data interaction, so traditional GUI cursors cannot adapt to the complex needs in these scenarios.

[0003] Traditional GUI cursors also lack cross-platform and cross-device data connectivity. This makes it difficult to achieve seamless docking and unified labeling of data between different systems, devices, and media, which in turn makes it difficult to effectively integrate and utilize a large amount of valuable information. Traditional GUI cursors do not have the ability to work in groups across devices. In addition, traditional GUI cursors do not support the display of interactive information including handwriting and sound. Summary of the invention

[0004] The present invention aims to solve at least one of the technical problems existing in the related art. To this end, the present invention provides a method for generating a multidimensional information cursor based on micro-format data screening, which realizes the generation of a multidimensional information cursor including multidimensional data and interactive data, and the multidimensional information cursor can be used to realize data connectivity across platforms and devices.

[0005] The present invention provides a method for generating a multi-dimensional information cursor based on micro-format data screening, comprising: S1: Obtain static coding information and dynamic coding information, and generate an initial medium connection code according to the static coding information and the dynamic coding information; S2: constructing the operation space, and obtaining the static and dynamic cognitive data of resources, the initial cognitive data chain and the initial cognitive data cluster, and constructing the data space through the static and dynamic cognitive data of resources, the initial cognitive data chain and the initial cognitive data cluster; S3: Select an interactive medium, scan the initial medium communication code through the interactive medium to obtain a scanning result, interact with the scanning result through the interactive medium to obtain interactive data and initial static and dynamic cognitive data including the interactive data; update the initial medium communication code through the interactive data to obtain a target medium communication code; S4: Obtain the task target, perform primary screening on the initial static and dynamic cognitive data in the operation space through the task target and the resource static and dynamic cognitive data to obtain the first screening data; perform secondary screening on the first screening data through the interaction data to obtain the target static and dynamic cognitive data including the interaction data; in the data space, update the initial cognitive data chain and the initial cognitive data cluster through the target static and dynamic cognitive data to obtain the target cognitive data chain and the target cognitive data cluster respectively; S5: Import the task target into the data space, modify the task target through the target cognitive data chain and the target cognitive data cluster, and obtain the reference task target; S6: Select a medium device, read the target medium communication code through the medium device, obtain the reading result, search for the reference task target and the target static and dynamic cognitive data in the data space through the reading result, and generate a multi-dimensional information cursor matching the medium device in the operation space through the reference task target and the target static and dynamic cognitive data.

[0006] According to a method for generating a multi-dimensional information cursor based on micro-format data screening provided by the present invention, step S4 comprises: S41: Acquire the task target and store it in the computing space, allocate a data container environment in the computing space, and import the resource static and dynamic cognitive data into the data container environment; S42: parsing the task target to obtain the task target parsing result, indexing the resource static and dynamic cognitive data through the task target parsing result to obtain the associated static and dynamic cognitive data; screening the initial static and dynamic cognitive data through the task target parsing result to obtain the initial first screening data; S43: fusing the associated static and dynamic cognitive data with the initial first screening data to obtain the first screening data; S44: obtaining instruction interaction data through the interaction data, performing secondary screening on the first screening data through the instruction interaction data, and obtaining the target static and dynamic recognition data including the interaction data; S45: Importing the target static and dynamic cognitive data into the data space, and merging the target static and dynamic cognitive data into the initial cognitive data chain to obtain a target cognitive data chain; merging the target static and dynamic cognitive data into the initial cognitive data cluster to obtain a target cognitive data cluster.

[0007] According to a method for generating a multi-dimensional information cursor based on micro-format data screening provided by the present invention, step S44 further includes: S441: Split the interaction data to obtain discrete interaction data; S442: Acquire the instruction library, compare the discrete interaction data with the instruction library, and obtain instruction interaction data; S443: labeling the first screening data through the instruction interaction data to obtain a labeling label, and screening the first screening data through the labeling label to obtain target static and dynamic recognition data.

[0008] According to a method for generating a multi-dimensional information cursor based on micro-format data screening provided by the present invention, step S5 comprises: S51: importing the task target into the data space, and evaluating the target cognitive data chain or the target cognitive data cluster to obtain the task completion degree; S52: Calculate the gap between the task target and the task completion degree to obtain the task difference, evaluate the expected task progress through the target cognitive data chain and the target cognitive data cluster, and generate the reference task target through the task difference and the expected task progress.

[0009] According to a method for generating a multi-dimensional information cursor based on micro-format data screening provided by the present invention, step S6 comprises: S61: selecting the medium device according to the form of the target medium communication code, and reading the target medium communication code through the medium device to obtain the reading result; S62: searching the data space according to the read result, searching for the reference task target and the target static and dynamic cognitive data, extracting the target static and dynamic cognitive data to obtain interaction data, and reading the reference task target and the interaction data into the operation space; S63: extracting and summarizing the interaction data in the operation space to generate brief interaction information, and generating a multi-dimensional information cursor matching the medium device through the brief interaction information, reference task objectives and interaction data.

[0010] According to a multi-dimensional information cursor generation method based on micro-format data screening provided by the present invention, the initial medium communication code and the target medium communication code both include a coding field and a non-coding field.

[0011] The present invention also provides a multi-dimensional information cursor generation system based on micro-format data screening, which is used to execute a multi-dimensional information cursor generation method based on micro-format data screening as described in any one of the above items, comprising: Coding module: used to obtain static coding information and dynamic coding information, and generate initial medium connection code according to the static coding information and dynamic coding information; Space construction module: used to construct the operation space, obtain resource static and dynamic cognitive data, initial cognitive data chain and initial cognitive data cluster, and construct the data space through resource static and dynamic cognitive data, initial cognitive data chain and initial cognitive data cluster; Interaction module: used to select an interactive medium, scan the initial medium communication code through the interactive medium to obtain a scanning result, interact with the scanning result through the interactive medium to obtain interactive data and initial static and dynamic cognitive data including the interactive data; update the initial medium communication code through the interactive data to obtain the target medium communication code; Data screening module: used to obtain task objectives, perform primary screening of initial static and dynamic cognitive data through task objectives and resource static and dynamic cognitive data in the operation space to obtain first screening data; perform secondary screening of the first screening data through interactive data to obtain target static and dynamic cognitive data including interactive data; in the data space, update the initial cognitive data chain and initial cognitive data cluster through the target static and dynamic cognitive data to obtain target cognitive data chain and target cognitive data cluster respectively; Reference mission target generation module: used to import the mission target into the data space, modify the mission target through the target cognitive data link and the target cognitive data cluster, and obtain the reference mission target; Multi-dimensional information cursor generation module: used to select a medium device, read the target medium communication code through the medium device, obtain the reading result, search for the reference task target and target static and dynamic cognitive data in the data space through the reading result, and generate a multi-dimensional information cursor matching the medium device through the reference task target and target static and dynamic cognitive data in the operation space.

[0012] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, a multi-dimensional information cursor generation method based on micro-format data screening as described in any one of the above items is implemented.

[0013] The present invention also provides a non-transitory computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, a multi-dimensional information cursor generation method based on micro-format data screening as described in any one of the above items is implemented.

[0014] The present invention also provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium, and the computer program includes program instructions. When the program instructions are executed by a computer, the computer can execute a multi-dimensional information cursor generation method based on micro-format data screening as described in any of the above items.

[0015] The above one or more technical solutions in the embodiments of the present invention have at least one of the following technical effects: The present invention provides a multi-dimensional information cursor generation method based on micro-format data screening, which realizes seamless connection and collaboration between multiple devices by introducing a multi-dimensional information cursor. Multiple devices can interact with the medium through coding simultaneously or in time-sharing, and realize real-time or time-sharing synchronization of various data with each other, thereby ensuring the consistency of information and improving collaboration efficiency.

[0016] The multidimensional information cursor can also effectively screen data, operate and express multidimensional data structures, and especially process and use interactive data including handwriting and sound information, effectively improving the functionality and expressiveness of the cursor in complex multidimensional data environments, so that the multidimensional information cursor can meet the needs for the cursor in large-scale group collaboration and cross-platform data interaction.

[0017] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0019] Figure 1 It is a flow chart of a method for generating a multi-dimensional information cursor based on micro-format data screening provided by the present invention.

[0020] Figure 2 It is a structural schematic diagram of a multidimensional information cursor of a multidimensional information cursor generation method based on micro-format data screening provided by the present invention.

[0021] Figure 3 It is a structural schematic diagram of a multi-dimensional information cursor calling interface of a multi-dimensional information cursor generating method based on micro-format data screening provided by the present invention.

[0022] Figure 4 A schematic structural diagram of a multi-dimensional information cursor generation system based on micro-format data screening provided by the present invention.

[0023] Figure 5 A schematic structural diagram of a multi-dimensional information cursor generating device based on micro-format data screening provided by the present invention.

[0024] Reference numerals: 1. Multi-dimensional information cursor; 11. First identity identification area; 12. Second identity identification area; 13. Group member status area; 14. Uplink data transmission indication area; 15. Downlink data transmission indication area; 16. Medium device status area; 17. User interaction information area; 18. Reference task target area; 19. Group member interaction information area; 21. Interface; 22. Interface task target area; 23. Interface reference task target area; 24. Note area; 25. Voice area; 251. Voice icon; 100. Encoding module; 200. Space construction module; 300. Interaction module; 400. Data screening module; 500. Reference task target generation module; 600. Multi-dimensional information cursor generation module; 810. Processor; 820. Communication interface; 830. Memory; 840. Communication bus. DETAILED DESCRIPTION

[0025] In order to make the purpose, technical scheme and advantages of the present invention clearer, the technical scheme in the present invention will be clearly and completely described below. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in the field without creative work are within the scope of protection of the present invention. The following embodiments are used to illustrate the present invention, but cannot be used to limit the scope of the present invention.

[0026] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the embodiment of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0027] Combine the following Figures 1 to 5 Describing embodiments of the present invention: Figure 1The present invention provides a flow chart of a method for generating a multi-dimensional information cursor based on micro-format data screening, which is specifically divided into six steps. S1 is to generate an initial medium communication code, that is, to generate an initial medium communication code using static coding information and dynamic coding information. S2 is to construct a computing space and a data space. In addition, a cloud data space can be constructed to improve the reliability and stability of the data space. S3 is to generate a target medium communication code, that is, to first select an interactive medium to scan and obtain initial static and dynamic cognitive data, then update the initial medium communication code, and finally obtain the target medium communication code. S4 is to perform primary screening and secondary screening and obtain a target cognitive data chain and a target cognitive data cluster, including a primary screening based on a task target, a secondary screening based on interactive data, to obtain target static and dynamic cognitive data, to obtain a target cognitive data chain and a target cognitive data cluster, and in addition, the target static and dynamic cognitive data can be incorporated into the resource static and dynamic cognitive data. S5 is to correct the task target through the target cognitive data chain and the target cognitive data cluster to obtain a reference task target. S6 is for the medium device to read the target medium communication code and generate a multi-dimensional information cursor.

[0028] The present invention provides a method for generating a multi-dimensional information cursor based on micro-format data screening, comprising: S1: Obtain static coding information and dynamic coding information, and generate an initial medium connection code according to the static coding information and the dynamic coding information; Furthermore, the purpose of this stage is to generate the initial media communication code for subsequent use. Here, the media communication code can be implemented in a variety of ways, such as digital string code, one-dimensional barcode, two-dimensional code, and dot matrix code for smart pens. Each encoding form is suitable for different application scenarios. For example, two-dimensional code can store more complex information and is suitable for screen and camera scanning; digital string code is usually used to provide a matching index for the resource file name corresponding to the media communication code; dot matrix code is usually used to adapt to smart dot matrix pens and collect through scanning and sensing. The media communication code is used to build a connection between the device and the content data. Each media communication code corresponds to a piece of content data, such as a research topic, an exercise, etc. The micro layout includes the initial media communication code and the target media communication code.

[0029] Generating the initial media connection code requires obtaining static coding information and dynamic coding information; among them, static coding information includes fixed information such as basic physical property information and scope information of the initial media connection code, such as the type of interactive medium it corresponds to, its own format, position, content data it points to, etc., which will no longer change after creation. Dynamic coding information contains dynamic data information generated by the user when generating the initial media connection code, such as user identity and authority, whether to edit, the device used, the time when the operation is completed, etc., which are changeable. After obtaining the static coding information and dynamic coding information, the initial media connection code can be generated based on the static coding information and dynamic coding information.

[0030] S2: constructing the operation space, and obtaining the static and dynamic cognitive data of resources, the initial cognitive data chain and the initial cognitive data cluster, and constructing the data space through the static and dynamic cognitive data of resources, the initial cognitive data chain and the initial cognitive data cluster; Furthermore, the purpose of this stage is to construct a computing space and a data space for use in subsequent steps. The computing space is an area where users can operate and interact in real time, and is also an area for identifying, screening, comparing, splitting, and updating various data, information, and codes. In addition, this stage also obtains resource static and dynamic cognitive data, initial cognitive data chains, and initial cognitive data clusters, and constructs a data space through resource static and dynamic cognitive data, initial cognitive data chains, and initial cognitive data clusters. The initial cognitive data chain includes resources that are required to form cognition of content data and have cognitive processes, such as the relevant knowledge network required to answer a certain question in the content data, the execution process of executing a certain process in the content data, and the mind map of the content data. The initial cognitive data cluster includes relevant resources required to form cognition of content data, such as references related to the content data, other content data related to the content data, etc. Resource static and dynamic cognitive data has the characteristics of both initial cognitive data chains and initial cognitive data clusters. It not only has cognitive processes, but also has more detailed and specific content; for example, when the content data is an exercise, the resource static and dynamic cognitive data can be a detailed analysis and resolution of the exercise. The data space is used to store and update these data. In addition, the data space also undertakes some data calculation and data processing tasks.

[0031] In order to ensure the security and accuracy of data, a cloud data space can be set up to provide mapping and backup for the data space and improve the reliability of the data space. Among them, non-real-time data synchronization between the cloud data space and the data space can be triggered by specific operations. Non-real-time data synchronization can ensure consistency and coordination between the cloud data space and the data space, while avoiding the high consumption of network performance and system resources by real-time synchronization.

[0032] S3: Select an interactive medium, scan the initial medium communication code through the interactive medium to obtain a scanning result, interact with the scanning result through the interactive medium to obtain interactive data and initial static and dynamic cognitive data including the interactive data; update the initial medium communication code through the interactive data to obtain a target medium communication code; Furthermore, the purpose of this step is to select an interactive medium, and scan the initial medium communication code through the interactive medium to obtain a scanning result, then interact with the scanning result and obtain initial static and dynamic cognitive data, and also generate interactive dynamic coding information according to the interactive data, and finally obtain the target medium communication code through the interactive dynamic coding information. Specifically, this step needs to select an interactive medium that can interact with it according to the specific implementation method of the initial medium communication code, and scan the initial medium communication code through the interactive medium to obtain a scanning result, and the scanning result is the content data corresponding to the initial medium communication code. Then, the interactive medium interacts with the scanning result to obtain interactive data and initial static and dynamic cognitive data including the interactive data. In this embodiment, the interactive data includes the handwriting data of the notes taken by the user during the interaction and the recorded audio data, wherein the handwriting data and the audio data are collected by the corresponding sensors on the interactive medium respectively. After the interactive data is generated, it is necessary to generate interactive dynamic coding information according to information such as the user's identity, the device used, and the time when the operation is completed, and then merge the interactive dynamic coding information with the initial medium communication code to achieve the update of the initial medium communication code, and finally obtain the target medium communication code. The initial medium connection code and the target medium connection code may include a code field; they may also include a non-code field, such as natural language, symbols, graphics, etc. The non-code field can improve the user's recognition of different initial medium connection codes and target medium connection codes.

[0033] S4: Obtain the task target, perform primary screening on the initial static and dynamic cognitive data in the operation space through the task target and the resource static and dynamic cognitive data to obtain the first screening data; perform secondary screening on the first screening data through the interaction data to obtain the target static and dynamic cognitive data including the interaction data; in the data space, update the initial cognitive data chain and the initial cognitive data cluster through the target static and dynamic cognitive data to obtain the target cognitive data chain and the target cognitive data cluster respectively; Furthermore, the purpose of this stage is to obtain the task objectives, and to screen the initial static and dynamic cognitive data through the task objectives, interaction data and resource static and dynamic cognitive data to obtain the target static and dynamic cognitive data, and import the target static and dynamic cognitive data into the data space, and finally complete the update of the target cognitive data chain and the target cognitive data cluster in the data space through the target static and dynamic cognitive data.

[0034] Wherein, step S4 further comprises: S41: Acquire the task target and store it in the computing space, allocate a data container environment in the computing space, and import the resource static and dynamic cognitive data into the data container environment; S42: parsing the task target to obtain the task target parsing result, indexing the resource static and dynamic cognitive data through the task target parsing result to obtain the associated static and dynamic cognitive data; screening the initial static and dynamic cognitive data through the task target parsing result to obtain the initial first screening data; S43: fusing the associated static and dynamic cognitive data with the initial first screening data to obtain the first screening data; S44: obtaining instruction interaction data through the interaction data, performing secondary screening on the first screening data through the instruction interaction data, and obtaining the target static and dynamic recognition data including the interaction data; S45: Importing the target static and dynamic cognitive data into the data space, and merging the target static and dynamic cognitive data into the initial cognitive data chain to obtain a target cognitive data chain; merging the target static and dynamic cognitive data into the initial cognitive data cluster to obtain a target cognitive data cluster.

[0035] Step S44 also includes: S441: Split the interaction data to obtain discrete interaction data; S442: Acquire the instruction library, compare the discrete interaction data with the instruction library, and obtain instruction interaction data; S443: labeling the first screening data through the instruction interaction data to obtain a labeling label, and screening the first screening data through the labeling label to obtain target static and dynamic recognition data.

[0036] With respect to the above steps, the specific implementation methods in this embodiment are as follows: First, it is necessary to obtain the task target from a certain user, then allocate a storage space in the computing space as a data container environment, and import the resource static and dynamic cognitive data into the data container environment. Here, when importing, the resource static and dynamic cognitive data can be screened according to the task target, and the resource static and dynamic cognitive data related to the task target and content data can be selected. Then, the task target is parsed to obtain the task target parsing result, that is, the task target is disassembled and multiple sub-task targets are obtained as the task target parsing result; then, the resource static and dynamic cognitive data is indexed according to the task target parsing result, and the indexed resource static and dynamic cognitive data related to the task target parsing result is used as the associated static and dynamic cognitive data. The initial static and dynamic cognitive data is screened by the task target parsing result to obtain the initial first screening data; then, the associated static and dynamic cognitive data and the initial first screening data are merged to obtain the first screening data, thereby completing the first level screening. Here, the meaning of screening is to cluster the data according to a certain condition. For example, screening the initial static and dynamic cognitive data by the task target parsing result is to cluster the initial static and dynamic cognitive data according to the sub-task target.

[0037] Then the interactive data is split to obtain discrete interactive data. In this embodiment, the handwriting data is split into basic handwriting units, such as individual Chinese characters, words, symbols, etc.; the audio data is split into basic language units, such as individual pronunciations, words, symbols, etc. Here, splitting the interactive data does not affect the integrity of the interactive data itself. Then, an instruction library is obtained, which contains the instruction meanings contained in common handwriting units and language units, such as a check mark represents correctness, a cross represents completely wrong, and agree represents approval. Then, the discrete interactive data is compared with the instruction library to find handwriting units and language units with instruction meanings, thereby giving instruction meanings to handwriting units and language units with instruction meanings in the discrete interactive data, and forming instruction interactive data. Then, the first screening data is annotated by the instruction interactive data to obtain an annotation label. The annotation label can be used to represent the evaluation metric of the first screening data, and is determined according to the instruction meaning contained in the instruction interactive data. If the discrete interaction data corresponding to a certain part of the first screening data is a check mark and the instruction meaning contained is "correct", the generated annotation label is "completely correct"; if the discrete interaction data is a half check mark and the instruction meaning contained is "partially correct", the generated annotation label is "partially correct"; if the discrete interaction data is a cross and the instruction meaning contained is "completely wrong", the generated annotation label is "wrong". Finally, the first screening data is screened by the annotation label to obtain the target static and dynamic cognitive data, that is, the secondary screening is completed; wherein, the target static and dynamic cognitive data includes the interaction data.

[0038] After obtaining the target static and dynamic cognitive data, the target static and dynamic cognitive data is imported into the data space, and the target static and dynamic cognitive data is incorporated into the initial cognitive data chain to obtain the target cognitive data chain; the target static and dynamic cognitive data is incorporated into the initial cognitive data cluster to obtain the target cognitive data cluster. Here, the target static and dynamic cognitive data can also be incorporated into the resource static and dynamic cognitive data to achieve content iteration of the resource static and dynamic cognitive data, thereby effectively improving the adaptability and accuracy of the resource static and dynamic cognitive data.

[0039] In addition, users can also export the target static and dynamic cognitive data according to their own needs, and use the associated static and dynamic cognitive data in the target static and dynamic cognitive data to provide inspiration and guidance for their own cognitive process.

[0040] S5: Import the task target into the data space, modify the task target through the target cognitive data chain and the target cognitive data cluster, and obtain the reference task target; Furthermore, the purpose of this stage is to evaluate and modify the mission objectives through the target cognitive data link and the target cognitive data cluster, so as to obtain the reference mission objectives.

[0041] Wherein, step S5 further comprises: S51: importing the task target into the data space, and evaluating the target cognitive data chain or the target cognitive data cluster to obtain the task completion degree; S52: Calculate the gap between the task target and the task completion degree to obtain the task difference, evaluate the expected task progress through the target cognitive data chain and the target cognitive data cluster, and generate the reference task target through the task difference and the expected task progress.

[0042] Specifically, the task goal is imported into the data space. Since both the target cognitive data chain and the target cognitive data cluster contain the target static and dynamic cognitive data, the target static and dynamic cognitive data in the target cognitive data chain or the target cognitive data cluster can be evaluated to achieve the evaluation of the task completion. Here, according to the single label in the target static and dynamic cognitive data, the completion of the subtask goal can be evaluated. For example, the completion of the subtask goal with the label of "completely correct" is set to 1, the completion of the subtask goal with the label of "partially correct" is set to 0.5, and the completion of the subtask goal with the label of "wrong" is set to 0; if a subtask goal has multiple labeling labels, the completion of the subtask goal is evaluated by calculating the average of the completion represented by the multiple labeling labels. The task completion can be obtained by calculating the average of the completion of all subtask goals. Then the gap between the task goal and the task completion is calculated to obtain the task difference.

[0043] Subsequently, the expected task progress can be evaluated through the target cognitive data chain and the target cognitive data cluster. For example, when the task goal is to complete a certain research, the interactive data of the target static and dynamic cognitive data in the target cognitive data chain and the target cognitive data cluster can be compared with the references, comparative documents and related knowledge in the target cognitive data chain and the target cognitive data cluster. Combined with the evaluation metrics contained in the annotation tags, the completion of the current research and how much relevant knowledge the researcher currently uses can be evaluated. It can also be evaluated how the researcher's current progress is compared with the comparative documents, and then a reasonable expected task progress can be obtained. Then, the reference task goal can be generated by comprehensively considering the task difference and the expected task progress. For example, when the task difference is large, the expected task progress can be increased to ensure that the task goal is achieved on time.

[0044] Here, the target static and dynamic cognitive data can also be combined with the expected task progress. When the user exports the target static and dynamic cognitive data and views the associated static and dynamic cognitive data, only the associated static and dynamic cognitive data that matches the expected task progress can be provided to the user, so as to achieve the effect of gradually guiding the user to complete the cognitive process.

[0045] S6: Select a medium device, read the target medium communication code through the medium device, obtain the reading result, search for the reference task target and the target static and dynamic cognitive data in the data space through the reading result, and generate a multi-dimensional information cursor matching the medium device in the operation space through the reference task target and the target static and dynamic cognitive data.

[0046] Furthermore, the purpose of this step is to select a suitable medium device, and read the target medium communication code through the medium device to obtain a reading result, and finally generate a multi-dimensional information cursor that matches the medium device.

[0047] Specifically, step S6 further includes: S61: selecting the medium device according to the form of the target medium communication code, and reading the target medium communication code through the medium device to obtain the reading result; S62: searching the data space according to the read result, searching for the reference task target and the target static and dynamic cognitive data, extracting the target static and dynamic cognitive data to obtain interaction data, and reading the reference task target and the interaction data into the operation space; S63: extracting and summarizing the interaction data in the operation space to generate brief interaction information, and generating a multi-dimensional information cursor matching the medium device through the brief interaction information, reference task objectives and interaction data.

[0048] First, according to the specific implementation method of the target medium communication code, a medium device that can interact with it is selected; then, the target medium communication code is read through the medium device to obtain the reading result, that is, the retrieval index corresponding to the target medium communication code, and then the corresponding reference task target, target cognitive data chain and target cognitive data cluster are searched in the data space according to the reading result, wherein the target cognitive data chain and the target cognitive data cluster include the target static and dynamic cognitive data, and the target static and dynamic cognitive data are extracted to obtain the interactive data; then the reference task target and the interactive data are read into the operation space. Then, the interactive data is extracted and summarized in the operation space to generate brief interactive information, and a multidimensional information cursor matching the medium device is generated through the brief interactive information, the reference task target and the interactive data; here, the extraction and summarization of the interactive data is realized by introducing an extractive automatic text summarization algorithm from the outside. In addition, the data space can also monitor the number and identity of the devices that interact with the target medium communication code, and then determine the identity information and interactive status of the team members and present them in the multidimensional information cursor; it can also obtain the interactive data of the team members and generate brief interactive information of the team members.

[0049] Figure 2 It is a structural diagram of a multi-dimensional information cursor, such as Figure 2 As shown, in this embodiment, the multi-dimensional information cursor includes a first identity marking area 11 for indicating the user identity, a second identity marking area 12 for indicating the identity of the group members; a group member status area 13 for displaying the current group member participation and interaction status, a reference task target area 18 for displaying the reference task target, a medium device status area 16 for displaying the working status of the medium device, an uplink data transmission indication area 14 and a downlink data transmission indication area 15 for indicating the data transmission status, wherein the uplink data transmission indication area 14 is used to indicate whether data is being transmitted from the operation space to the data space by turning on and off, and the downlink data transmission indication area 15 is used to indicate whether data is being transmitted from the data space to the operation space by turning on and off; and also includes a user interaction information area 17 and a group member interaction information area 19 for displaying brief interaction information. Among them, the user interaction information area 17 is used to display the brief interaction information of the user himself, and the group member interaction information area 19 is used to display the brief interaction information of other group members. Here, the media device corresponding to the multi-dimensional information cursor is a personal computer or mobile phone, tablet or other personal mobile terminal. When the media device is other devices, the presentation form and structure of the multi-dimensional information cursor can also be modified as needed to match other media devices.

[0050] also, Figure 3 This is a schematic diagram of the structure of the multi-dimensional information cursor calling interface, such as Figure 3As shown, in this embodiment, the media device can call the multi-dimensional information cursor, and display the task target in the interface task target area 22 on the interface 21, display the reference task target in the interface reference task target area 23, and display the handwriting data in the interactive data in the note area 24, and the audio data in the interactive data in the voice area 25. Here, when the voice icon 251 in the voice area 25 is clicked, the audio data can be played. In addition, the multi-dimensional information cursor 1 can also be displayed normally in the interface 21.

[0051] In summary, the multidimensional information cursor generation method based on micro-layout data screening provided by the present invention can effectively achieve seamless connection and collaboration between multiple devices by introducing a multidimensional information cursor. It can also operate and express multidimensional data structures, especially interactive data including handwriting and sound information, thereby effectively improving the functionality and expressiveness of the cursor in a complex multidimensional data environment.

[0052] The following describes a multidimensional information cursor generation system based on micro-layout data screening provided by the present invention. The multidimensional information cursor generation system based on micro-layout data screening described below and the multidimensional information cursor generation method based on micro-layout data screening described above can correspond to each other.

[0053] Figure 4 A schematic diagram of a structure of a multi-dimensional information cursor generation system based on micro-format data screening is shown as follows: Figure 4 As shown, the method for generating a multi-dimensional information cursor based on micro-format data screening as described above comprises: Coding module 100: used to obtain static coding information and dynamic coding information, and generate an initial medium connection code according to the static coding information and the dynamic coding information; Space construction module 200: used to construct a computing space, obtain resource static and dynamic cognitive data, initial cognitive data chain and initial cognitive data cluster, and construct a data space through resource static and dynamic cognitive data, initial cognitive data chain and initial cognitive data cluster; Interaction module 300: used to select an interaction medium, scan the initial medium communication code through the interaction medium to obtain a scanning result, interact with the scanning result through the interaction medium to obtain interaction data and initial static and dynamic cognitive data including the interaction data; update the initial medium communication code through the interaction data to obtain a target medium communication code; Data screening module 400: used to obtain task objectives, perform primary screening on initial static and dynamic cognitive data through task objectives and resource static and dynamic cognitive data in the operation space to obtain first screening data; perform secondary screening on the first screening data through interaction data to obtain target static and dynamic cognitive data including interaction data; in the data space, update the initial cognitive data chain and the initial cognitive data cluster through the target static and dynamic cognitive data to obtain the target cognitive data chain and the target cognitive data cluster respectively; Reference task target generation module 500: used to import the task target into the data space, modify the task target through the target cognitive data chain and the target cognitive data cluster, and obtain the reference task target; Multi-dimensional information cursor generation module 600: used to select a medium device, read the target medium communication code through the medium device, obtain the reading result, search for the reference task target and the target static and dynamic cognitive data in the data space through the reading result, and generate a multi-dimensional information cursor matching the medium device through the reference task target and the target static and dynamic cognitive data in the operation space.

[0054] on the other hand, Figure 5 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 5 As shown, the electronic device may include: a processor 810, a communication interface 820, a memory 830 and a communication bus 840, wherein the processor 810, the communication interface 820 and the memory 830 communicate with each other through the communication bus 840. The processor 810 may call the logic instructions in the memory 830 to execute a multi-dimensional information cursor generation method based on micro-format data screening, the method comprising: S1: Obtain static coding information and dynamic coding information, and generate an initial medium connection code according to the static coding information and the dynamic coding information; S2: constructing the operation space, and obtaining the static and dynamic cognitive data of resources, the initial cognitive data chain and the initial cognitive data cluster, and constructing the data space through the static and dynamic cognitive data of resources, the initial cognitive data chain and the initial cognitive data cluster; S3: Select an interactive medium, scan the initial medium communication code through the interactive medium to obtain a scanning result, interact with the scanning result through the interactive medium to obtain interactive data and initial static and dynamic cognitive data including the interactive data; update the initial medium communication code through the interactive data to obtain a target medium communication code; S4: Obtain the task target, perform primary screening on the initial static and dynamic cognitive data in the operation space through the task target and the resource static and dynamic cognitive data to obtain the first screening data; perform secondary screening on the first screening data through the interaction data to obtain the target static and dynamic cognitive data including the interaction data; in the data space, update the initial cognitive data chain and the initial cognitive data cluster through the target static and dynamic cognitive data to obtain the target cognitive data chain and the target cognitive data cluster respectively; S5: Import the task target into the data space, modify the task target through the target cognitive data chain and the target cognitive data cluster, and obtain the reference task target; S6: Select a medium device, read the target medium communication code through the medium device, obtain the reading result, search for the reference task target and the target static and dynamic cognitive data in the data space through the reading result, and generate a multi-dimensional information cursor matching the medium device in the operation space through the reference task target and the target static and dynamic cognitive data.

[0055] In addition, the logic instructions in the above-mentioned memory 830 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0056] On the other hand, the present invention further provides a computer program product, the computer program product comprising a computer program stored on a non-transitory computer-readable storage medium, the computer program comprising program instructions, when the program instructions are executed by a computer, the computer can execute a multi-dimensional information cursor generation method based on micro-format data screening provided by the above methods, the method comprising: S1: Obtain static coding information and dynamic coding information, and generate an initial medium connection code according to the static coding information and the dynamic coding information; S2: constructing the operation space, and obtaining the static and dynamic cognitive data of resources, the initial cognitive data chain and the initial cognitive data cluster, and constructing the data space through the static and dynamic cognitive data of resources, the initial cognitive data chain and the initial cognitive data cluster; S3: Select an interactive medium, scan the initial medium communication code through the interactive medium to obtain a scanning result, interact with the scanning result through the interactive medium to obtain interactive data and initial static and dynamic cognitive data including the interactive data; update the initial medium communication code through the interactive data to obtain a target medium communication code; S4: Obtain the task target, perform primary screening on the initial static and dynamic cognitive data in the operation space through the task target and the resource static and dynamic cognitive data to obtain the first screening data; perform secondary screening on the first screening data through the interaction data to obtain the target static and dynamic cognitive data including the interaction data; in the data space, update the initial cognitive data chain and the initial cognitive data cluster through the target static and dynamic cognitive data to obtain the target cognitive data chain and the target cognitive data cluster respectively; S5: Import the task target into the data space, modify the task target through the target cognitive data chain and the target cognitive data cluster, and obtain the reference task target; S6: Select a medium device, read the target medium communication code through the medium device, obtain the reading result, search for the reference task target and the target static and dynamic cognitive data in the data space through the reading result, and generate a multi-dimensional information cursor matching the medium device in the operation space through the reference task target and the target static and dynamic cognitive data.

[0057] In another aspect, the present invention further provides a non-transitory computer-readable storage medium having a computer program stored thereon, which is implemented when the computer program is executed by a processor to execute a method for generating a multi-dimensional information cursor based on micro-format data screening provided by the above methods, the method comprising: S1: Obtain static coding information and dynamic coding information, and generate an initial medium connection code according to the static coding information and the dynamic coding information; S2: constructing the operation space, and obtaining the static and dynamic cognitive data of resources, the initial cognitive data chain and the initial cognitive data cluster, and constructing the data space through the static and dynamic cognitive data of resources, the initial cognitive data chain and the initial cognitive data cluster; S3: Select an interactive medium, scan the initial medium communication code through the interactive medium to obtain a scanning result, interact with the scanning result through the interactive medium to obtain interactive data and initial static and dynamic cognitive data including the interactive data; update the initial medium communication code through the interactive data to obtain a target medium communication code; S4: Obtain the task target, perform primary screening on the initial static and dynamic cognitive data in the operation space through the task target and the resource static and dynamic cognitive data to obtain the first screening data; perform secondary screening on the first screening data through the interaction data to obtain the target static and dynamic cognitive data including the interaction data; in the data space, update the initial cognitive data chain and the initial cognitive data cluster through the target static and dynamic cognitive data to obtain the target cognitive data chain and the target cognitive data cluster respectively; S5: Import the task target into the data space, modify the task target through the target cognitive data chain and the target cognitive data cluster, and obtain the reference task target; S6: Select a medium device, read the target medium communication code through the medium device, obtain the reading result, search for the reference task target and the target static and dynamic cognitive data in the data space through the reading result, and generate a multi-dimensional information cursor matching the medium device in the operation space through the reference task target and the target static and dynamic cognitive data.

[0058] The above described system, device, product and medium embodiments are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the present embodiment. Ordinary technicians in this field can understand and implement them without creative work.

[0059] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0060] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for generating a multi-dimensional information cursor based on micro-format data screening, characterized in that: include: S1: Obtain static coding information and dynamic coding information, and generate an initial medium connection code according to the static coding information and the dynamic coding information; S2: constructing the operation space, and obtaining the static and dynamic cognitive data of resources, the initial cognitive data chain and the initial cognitive data cluster, and constructing the data space through the static and dynamic cognitive data of resources, the initial cognitive data chain and the initial cognitive data cluster; S3: Select an interactive medium, scan the initial medium communication code through the interactive medium to obtain a scanning result, interact with the scanning result through the interactive medium to obtain interactive data and initial static and dynamic cognitive data including the interactive data; update the initial medium communication code through the interactive data to obtain a target medium communication code; S4: Obtain the task target, perform primary screening on the initial static and dynamic cognitive data in the operation space through the task target and the resource static and dynamic cognitive data to obtain the first screening data; perform secondary screening on the first screening data through the interaction data to obtain the target static and dynamic cognitive data including the interaction data; in the data space, update the initial cognitive data chain and the initial cognitive data cluster through the target static and dynamic cognitive data to obtain the target cognitive data chain and the target cognitive data cluster respectively; S5: Import the task target into the data space, modify the task target through the target cognitive data chain and the target cognitive data cluster, and obtain the reference task target; S6: Select a medium device, read the target medium communication code through the medium device, obtain the reading result, search for the reference task target and the target static and dynamic cognitive data in the data space through the reading result, and generate a multi-dimensional information cursor matching the medium device in the operation space through the reference task target and the target static and dynamic cognitive data.

2. The method for generating a multi-dimensional information cursor based on micro-format data screening according to claim 1, characterized in that: Step S4 includes: S41: Acquire the task target and store it in the computing space, allocate a data container environment in the computing space, and import the resource static and dynamic cognitive data into the data container environment; S42: parsing the task target to obtain the task target parsing result, indexing the resource static and dynamic cognitive data through the task target parsing result to obtain the associated static and dynamic cognitive data; screening the initial static and dynamic cognitive data through the task target parsing result to obtain the initial first screening data; S43: fusing the associated static and dynamic cognitive data with the initial first screening data to obtain the first screening data; S44: obtaining instruction interaction data through the interaction data, performing secondary screening on the first screening data through the instruction interaction data, and obtaining the target static and dynamic recognition data including the interaction data; S45: Importing the target static and dynamic cognitive data into the data space, and merging the target static and dynamic cognitive data into the initial cognitive data chain to obtain a target cognitive data chain; merging the target static and dynamic cognitive data into the initial cognitive data cluster to obtain a target cognitive data cluster.

3. The method for generating a multi-dimensional information cursor based on micro-format data screening according to claim 2, characterized in that: Step S44 also includes: S441: Split the interaction data to obtain discrete interaction data; S442: Acquire the instruction library, compare the discrete interaction data with the instruction library, and obtain instruction interaction data; S443: labeling the first screening data through the instruction interaction data to obtain a labeling label, and screening the first screening data through the labeling label to obtain target static and dynamic recognition data.

4. The method for generating a multi-dimensional information cursor based on micro-format data screening according to claim 1, characterized in that: Step S5 includes: S51: importing the task target into the data space, and evaluating the target cognitive data chain or the target cognitive data cluster to obtain the task completion degree; S52: Calculate the gap between the task target and the task completion degree to obtain the task difference, evaluate the expected task progress through the target cognitive data chain and the target cognitive data cluster, and generate the reference task target through the task difference and the expected task progress.

5. The method for generating a multi-dimensional information cursor based on micro-format data screening according to claim 1, characterized in that: Step S6 includes: S61: selecting the medium device according to the form of the target medium communication code, and reading the target medium communication code through the medium device to obtain the reading result; S62: searching the data space according to the read result, searching for the reference task target and the target static and dynamic cognitive data, extracting the target static and dynamic cognitive data to obtain interaction data, and reading the reference task target and the interaction data into the operation space; S63: extracting and summarizing the interaction data in the operation space to generate brief interaction information, and generating a multi-dimensional information cursor matching the medium device through the brief interaction information, reference task objectives and interaction data.

6. The method for generating a multi-dimensional information cursor based on micro-format data screening according to claim 1, characterized in that: The initial medium connection code and the target medium connection code both include a coding field and a non-coding field.

7. A multi-dimensional information cursor generation system based on micro-page data screening, used to execute a multi-dimensional information cursor generation method based on micro-page data screening as claimed in any one of claims 1 to 6, characterized in that: include Coding module: used to obtain static coding information and dynamic coding information, and generate initial medium connection code according to the static coding information and dynamic coding information; Space construction module: used to construct the operation space, obtain resource static and dynamic cognitive data, initial cognitive data chain and initial cognitive data cluster, and construct the data space through resource static and dynamic cognitive data, initial cognitive data chain and initial cognitive data cluster; Interaction module: used to select an interactive medium, scan the initial medium communication code through the interactive medium to obtain a scanning result, interact with the scanning result through the interactive medium to obtain interactive data and initial static and dynamic cognitive data including the interactive data; update the initial medium communication code through the interactive data to obtain the target medium communication code; Data screening module: used to obtain task objectives, perform primary screening of initial static and dynamic cognitive data through task objectives and resource static and dynamic cognitive data in the operation space to obtain first screening data; perform secondary screening of the first screening data through interactive data to obtain target static and dynamic cognitive data including interactive data; in the data space, update the initial cognitive data chain and initial cognitive data cluster through the target static and dynamic cognitive data to obtain target cognitive data chain and target cognitive data cluster respectively; Reference mission target generation module: used to import the mission target into the data space, modify the mission target through the target cognitive data link and the target cognitive data cluster, and obtain the reference mission target; Multi-dimensional information cursor generation module: used to select a medium device, read the target medium communication code through the medium device, obtain the reading result, search for the reference task target and target static and dynamic cognitive data in the data space through the reading result, and generate a multi-dimensional information cursor matching the medium device through the reference task target and target static and dynamic cognitive data in the operation space.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the steps of a method for generating a multi-dimensional information cursor based on micro-format data screening as described in any one of claims 1 to 6 are implemented.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of a method for generating a multi-dimensional information cursor based on micro-format data screening as described in any one of claims 1 to 6 are implemented.

10. A computer program product, the computer program product comprising a computer program stored on a non-transitory computer-readable storage medium, the computer program comprising program instructions, characterized in that: When the program instructions are executed by a computer, the computer can execute the steps of a method for generating a multi-dimensional information cursor based on micro-format data screening as described in any one of claims 1 to 6.

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