CN119003523A

CN119003523A - Plant information recall method based on plant information database

Info

Publication number: CN119003523A
Application number: CN202411039441.2A
Authority: CN
Inventors: 陆哲明
Original assignee: Hangzhou Lvtu Information Technology Co ltd
Current assignee: Hangzhou Lvtu Information Technology Co ltd
Priority date: 2024-07-31
Filing date: 2024-07-31
Publication date: 2024-11-22

Abstract

The invention discloses a plant information recall method based on a plant information database, which comprises the steps of obtaining plant information to be put in storage; preprocessing the plant information to be stored in a pre-constructed plant information database, wherein the plant information is classified into a plurality of dimensions in the plant information database; when a plant information recall request is triggered, content is instructed to recall from the database based on the request. The recall of the plant information can be realized at fine granularity based on the label system, and a foundation is provided for the service expansion based on the plant information. The method overcomes the defects that the service expansion based on plant information is difficult in the related technology, and the efficiency and the effect of completing the service purpose by relying on manual experience are limited.

Description

Plant information recall method based on plant information database

Technical Field

The invention relates to the technical field of information processing, in particular to a recall method of plant information.

Background

In the related art, plant information depends on knowledge of plants by operators in a specific business application process, so that expansion of a business based on plant information is limited, and generation of plant collocation schemes and the like depend on comprehensive plant information except retrieval.

Disclosure of Invention

In view of the above, the invention provides a recall method of plant information, which lays a foundation for service expansion based on plant information. The invention provides the following technical scheme:

a recall method of plant information, comprising: acquiring plant information to be put in storage; preprocessing the plant information to be stored in a pre-constructed plant information database, wherein the plant information is classified into a plurality of dimensions in the plant information database; ; when a plant information recall request is triggered, content is instructed to recall from the database based on the request.

Optionally, the labels in the table label system are respectively corresponding to a storage table, and the storage table stores structured data of different plants, wherein the structured data comprises plant type names, areas, specifications, morphological descriptions, cultivation information, main ornamental points, plant season phases, habit features, configuration modes, application scenes and associated images or videos.

Optionally, the tag system comprises a plant class system comprising evergreen tags, deciduous tags, arbor tags, shrub tags, vine tags, aquatic tags, palm tags, bamboo tags, perennial herb tags, one-biennial herb tags, ornamental herb tags, lawn tags, fern tags, and the like.

Optionally, the tag system comprises a design application tag system comprising a scenic tree tag, a soil-fixed revetment tag, a background woodtag, a landscape woodtag, a sponge scene tag, a street tree tag, a low maintenance tag, a flower sea plant tag, a sound insulation woodtag, a wind woodtag, a hedge tag, a forestation plant tag, a shade tree tag, a flower shrub tag, a wet plant tag, a ground cover plant tag, a flower bed tag, a basal planting tag, a bird attracting plant tag, a honey plant tag, an aromatic plant tag, a fire prevention woodtag, a low cost tag, a homeland plant tag, an edible plant tag, a toxic plant tag, a barbed plant tag, a medicinal plant tag, a healthy plant tag, a flying plant tag, and the like.

Optionally, the tag system comprises an ornamental feature tag system comprising an ornamental site tag, a time tag, a color tag, and the like.

Optionally, the label system comprises a biological habit label system, wherein the biological label system comprises water-resistant, drought-resistant, cold-resistant, heat-resistant, light-loving, shadow-loving, salt-resistant, deep-rooted, shallow-rooted, long-lived, barren-resistant, waterlogging-resistant, life-strong, wind-resistant, pollution-resistant, fire-resistant, fast-growing, slow-growing, and the like.

Optionally, instructing the recall of the content from the database based on the request includes: invoking one or more memory tables matched with the tag based on the tag indicated by the request; performing intersection between the matched storage tables; and taking part or all of the plant information after the intersection as a recall result.

Optionally, when the plant information recall request is triggered, instructing recall of content from the database based on the request includes: when a plant information recall request is triggered, recall plant information based on a tag associated with the request text, wherein the request text includes descriptive text, or text similar to or identical to the tag.

Optionally, when the plant information recall request is triggered, instructing recall of content from the database based on the request includes: after the plant information recall request is triggered, extracting features of a request text; matching the extracted features with tags in a tag system; plant information is recalled based on the matched tag.

Optionally, the method further comprises presenting the structured data in a preset form at the terminal after providing the recalled plant information to the terminal.

The recall method of the plant information comprises the steps of obtaining the plant information to be put in storage; preprocessing the plant information to be stored in a pre-constructed plant information database, wherein the plant information is classified into a plurality of dimensions in the plant information database; when a plant information recall request is triggered, content is instructed to recall from the database based on the request. By constructing the plant information database, recall of plant information can be realized at fine granularity, and a foundation is provided for service expansion based on plant information. The method overcomes the defects that the service expansion based on plant information is difficult in the related technology, and the efficiency and the effect of completing the service purpose by relying on manual experience are limited.

Drawings

For purposes of illustration and not limitation, the invention will now be described in connection with embodiments thereof and the accompanying drawings, in which:

FIG. 1 is a flow chart of a method for recall of plant information in an embodiment of the invention;

Fig. 2 is a schematic diagram of an electronic device according to an embodiment of the invention.

Detailed Description

In order that those skilled in the art will better understand the present application, a detailed description of embodiments of the present application will be provided below, with reference to the accompanying drawings, wherein it is apparent that the described embodiments are only some, but not all, embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, shall fall within the scope of the present application.

It should be noted that the terms "first," "second," and the like in the description of the present application and the above-described drawings are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate in order to describe embodiments of the application herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

In the present application, the terms "upper", "lower", "left", "right", "front", "rear", "top", "bottom", "inner", "outer", "middle", "vertical", "horizontal", "lateral", "longitudinal" and the like indicate an azimuth or a positional relationship based on that shown in the drawings. These terms are only used to better describe the present application and its embodiments and are not intended to limit the scope of the indicated devices, elements or components to the particular orientations or to configure and operate in the particular orientations.

Also, some of the terms described above may be used to indicate other meanings in addition to orientation or positional relationships, for example, the term "upper" may also be used to indicate some sort of attachment or connection in some cases. The specific meaning of these terms in the present application will be understood by those of ordinary skill in the art according to the specific circumstances. In addition, the term "plurality" shall mean two as well as more than two.

The present application is not limited to the above-described embodiments, and various modifications and changes may be made without departing from the scope of the present application. Embodiments of the present application will be described in detail below with reference to the accompanying drawings. A recall method of plant information, schematically illustrated with reference to fig. 1, comprising:

step 101: and acquiring plant information to be put in storage.

Step 102: and preprocessing the plant information to store the plant information in a pre-constructed plant information database, wherein the plant information is classified into a plurality of dimensions in the plant information database.

In the step, the plant information can be classified, and the specific mode can be a mode based on a label system for warehousing or a clustering algorithm.

Step 103: when a plant information recall request is triggered, content is instructed to recall from the database based on the request.

In this step, the recall request may be a recall request triggered by a user through a terminal under different service purposes, and recall the corresponding plant information based on the tag indicated by the request after the recall request is triggered.

As an optional implementation manner of this embodiment, the preprocessing the plant information for storing in a pre-constructed database includes: labeling the plant information, and after the plant information is labeled, storing the labeled plant information into a plant information database, wherein the database comprises a pre-constructed label system, and storing the plant information based on the labeled label during storage; or clustering the plant information, and storing the clustered plant information into a plant information database.

In the implementation mode, the text containing plant information is acquired, and is put in storage after being automatically marked or manually marked, and the storage is carried out based on the established label system when put in storage. The tagging system may include one level or multiple levels, not limited herein. And determining a label conforming to the labeling label from a label system when the labeling label stores the plant information, and storing the plant information to be stored into a storage space corresponding to the conforming label.

As an optional implementation manner, the labels in the table label system are respectively corresponding to a storage table, and the storage table stores structured data of different plants, wherein the structured data comprises plant type names, areas, specifications, morphological descriptions, cultivation information, main ornamental points, plant quaternary phases, habit characteristics, configuration modes, application scenes and associated images or videos.

In this alternative implementation, if the tag system is a multi-level tag, the content of the first-level tag may be used as an index of the memory table to implement plant information warehousing or recall. If the tag system is a primary tag, i.e. the tag system is directly composed of specific tag contents, the specific tag contents can be used as indexes of a storage table to realize warehousing and recall of plant information. In the memory table, different kinds of plants are associated with structured data, and when any kind of plants are recalled, the associated structured data is recalled.

Illustratively, the structured data may include, but is not limited to, plant species names, areas of ownership, specifications, morphological descriptions, cultivation information, major ornamental points, plant quaternary phases, habit features, configuration patterns, usage scenarios, and associated images or videos.

When a plant is recalled, its structured information can be used at the business level based on different business objectives.

As an alternative implementation of this embodiment, the tag system includes a plant class system including evergreen tags, deciduous tags, arbor tags, shrub tags, vine tags, aquatic tags, palm tags, bamboo tags, perennial herb tags, one-biennial herb tags, ornamental herb tags, lawn tags, fern tags, and the like.

As an alternative implementation manner of this embodiment, the tag system includes a design application tag system including a scenic tree tag, a soil-fixed slope protection tag, a background forest tag, a landscape forest tag, a sponge scene tag, a pavement tree tag, a low maintenance tag, a flower sea plant tag, a sound insulation forest tag, a wind forest tag, a hedge tag, a forestation plant tag, a shade tree tag, a flower shrub tag, a wet plant tag, a ground cover plant tag, a flower border flower pot tag, a basic planting tag, a bird attracting plant tag, a honey plant tag, an aromatic plant tag, a fire forest tag, a low cost tag, a soil plant tag, an edible plant tag, a toxic plant tag, a thorn plant tag, a medicinal plant tag, a healthy plant tag, a flying cotton plant tag, and the like.

As an alternative implementation manner of this embodiment, the tag system includes an ornamental feature tag system, where the ornamental feature tag system includes an ornamental portion tag, a time tag, a color tag, and the like.

As an alternative implementation manner of this embodiment, the label system includes a biological habit label system, where the biological label system includes water-tolerant, drought-tolerant, cold-tolerant, heat-tolerant, light-loving, shadow-loving, salt-tolerant, deep-rooted, shallow-rooted, long-lived, barren-tolerant, waterlogging-tolerant, strong-lived, wind-tolerant, pollution-tolerant, fire-tolerant, fast-growing, slow-growing, and the like.

In this alternative implementation, taking the label system as an example of a secondary label, the label system may include a primary label such as a plant category label, a design application label, an ornamental feature label, a biological habit label. The first-level label can comprise a second-level label, a corresponding storage table can be constructed based on the first-level label and the corresponding second-level label, recall of plant information is carried out based on the first-level label and the second-level label, for example, the storage table is determined based on the first-level label, and then the corresponding plant information is determined based on the second-level label. Instead of designing the primary labels, the memory table may be constructed directly based on the respective secondary labels.

Further, the storage table may be expanded based on needs, including but not limited to expanding the content of the primary labels, expanding the content of the secondary labels corresponding to the primary labels, and expanding the hierarchy of labels.

As an alternative implementation of this embodiment, instructing the recall of content from the database based on the request includes: invoking one or more memory tables matched with the tag based on the tag indicated by the request; performing intersection between the matched storage tables; and taking part or all of the plant information after the intersection as a recall result.

In this alternative implementation, the content of the request indication may be a tag, a combination of tags, or text that can point to the mapped tag, which is not limited herein. Based on the recall of the plant information from the storage table by the indicated tags, the combination of the tags may be a combination of a plurality of secondary tags under different level tags, or may be a combination of one and a plurality of secondary tags under the tags, and the combination mode is not limited herein. Multiple pieces of plant information may be associated under each secondary label, such as, for example, the evergreen label may include plant information such as, for example, wakame pine, arbor pine, etc.

The two-level labels under different levels of labels may be combined with each other, one or more labels under a category of plants, one or more labels under a design application, one or more labels under ornamental features, and/or one or more labels under biological habits, and based on the combined labels, a plurality of memory tables, and intersections between the memory tables may be determined.

As an optional implementation manner, when clustering is adopted, the plant information to be put in storage can be put in storage in a clustering mode. Before the mode is adopted for warehousing, a database constructed based on a clustering mode needs to be constructed.

In the construction, the clustering dimensions may be defined in advance, and the clustering dimensions may be the content of each tag. And clustering the data in the data set by using a clustering algorithm to obtain at least one clustering center, namely, a method for automatically dividing a stack of data without labels into several types by using the clustering algorithm, and according to the distance or similarity between samples, aggregating the samples which are more similar and less different into one type, and finally forming a plurality of clustering centers, wherein the obtained clustering centers are related to all data in the coverage range of the clustering centers and are mean vectors of all data. The clustering center vector can comprehensively describe the data distribution under the clustering center vector, and certain distinction is made between different clustering centers.

For example, a K-Means clustering algorithm may be used to cluster data in the plant information dataset, resulting in a corresponding space and a corresponding at least one cluster center. Specifically, the K value may be set first, then K data points may be randomly selected from the plant dataset as cluster centers, and then for each point in the plant dataset, its distance from each centroid is calculated to be divided into a set of corresponding centroids. All plant information can be categorized after clustering.

It should be appreciated that for finer granularity partitioning, within the above-described cluster space, the data may again be grouped to continue clustering for finer partitioning. Once the plant information to be put in storage is established, classification is performed based on a clustering algorithm.

As an optional implementation manner of this implementation, when the plant information recall request is triggered, the recall of the content from the database based on the request instruction includes: when a plant information recall request is triggered, recall plant information based on a tag associated with the request text, wherein the request text includes descriptive text, or text similar to or identical to the tag.

In this alternative implementation, recall may be performed at the business level with specific text, which may be a scene description, a region representation text, etc., which may be associated with a corresponding tag, and plant recall may be performed once the specific text is selected. A specified tag, such as the same or similar tag, may also be triggered to recall at the traffic level. Business objectives that can be achieved through recall may include plant collocation automatic generation objectives, intelligent retrieval, manual retrieval objectives, and the like.

As an optional implementation manner of this embodiment, when the plant information recall request is triggered, the recall of the content from the database based on the request instruction includes: after the plant information recall request is triggered, extracting features of the request text; matching the extracted features with tags in a tag system; plant information is recalled based on the matched tag.

In this alternative implementation, recall may be performed based on natural language text at the business level, and the natural language text may be first feature extracted and then matched, where the technical means of the process are not limited herein.

As an optional implementation manner of this embodiment, the method further includes, after providing the recalled plant information to the terminal, presenting the structured data in a preset form at the terminal.

In this alternative implementation, on-demand presentation may be performed at the business level after recall of the data.

The embodiment lays a foundation for application expansion of plant information by establishing a specific label system.

According to an embodiment of the present disclosure, there is also provided a recall device for plant information, including: acquiring plant information to be put in storage; preprocessing the plant information to be stored in a pre-constructed plant information database, wherein the plant information is classified into a plurality of dimensions in the plant information database; ; when a plant information recall request is triggered, content is instructed to recall from the database based on the request.

As an optional implementation manner of this embodiment, the labels in the label system are respectively corresponding to a storage table, and the storage table stores structured data of different plants, where the structured data includes a plant type name, a region to which the plant belongs, a specification, a morphological description, cultivation information, a main ornamental point, a plant season, a habit feature, a configuration mode, an application scene, and an associated image or video.

As an alternative implementation of this embodiment, the tag system includes a plant class tag, including evergreen tags, deciduous tags, arbor tags, shrub tags, vine tags, aquatic tags, palm tags, bamboo tags, perennial herb tags, one-biennial herb tags, ornamental grass tags, lawn tags, fern tags, and the like.

As an alternative implementation manner of this embodiment, the tag system includes an ornamental feature tag, and the ornamental feature tag system includes an ornamental portion tag, a time tag, a color tag, and the like.

As an alternative implementation manner of the embodiment, the label system comprises a biological habit label, wherein the biological label system comprises a water-tolerant, drought-tolerant, cold-tolerant, heat-tolerant, light-tolerant, shade-tolerant, salt-tolerant, deep root, shallow root, long-life, barren-tolerant, waterlogging-tolerant, strong-vitality, wind-tolerant and dirt-tolerant

Dyeing, fire resistance, fast growth, slow growth, etc.

As an alternative implementation of this embodiment, content is indicated to advance from the database based on the request

Line recall includes: invoking one or more tags that match the tag based on the request indication

Storing a table; performing intersection between the matched storage tables; part of the plant information after crossing or

All as recall results.

As an alternative implementation of this embodiment, when the plant information recall request is triggered,

Instructing recall of content from a database based on a request includes: when a plant information recall request is triggered

Thereafter, the plant information is recalled based on the tag associated with the request text, wherein the request text comprises a trace

The text, or text similar to or the same as the tag.

Then, extracting the characteristics of the request text; matching the extracted features with tags in a tag system

Preparing; plant information is recalled based on the matched tag.

The disclosed embodiments provide an electronic device, as shown in fig. 2, which includes one or more processors 31 and a memory 32, one processor 31 being exemplified in fig. 2.

The controller may further include: an input device 33 and an output device 34.

The processor 31, the memory 32, the input device 33 and the output device 34 may be connected by a bus or otherwise, in fig. 2 by way of example.

The processor 31 may be a central processing unit (Centra l Process ingUn it, CPU). The Processor 31 may also be other general purpose processors, digital signal processors (DIGITA LSIGNA L processors, DSPs), application specific integrated circuits (App l icat ionSpecific I NTEGRATEDCI rcu it, ASICs), field programmable gate arrays (Fie ld-Programmab L EGATEARRAY, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or combinations thereof. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

The memory 32 serves as a non-transitory computer readable storage medium that may be used to store non-transitory software programs, non-transitory computer-executable programs, and modules, such as program instructions/modules corresponding to the control methods in embodiments of the present disclosure. The processor 31 executes various functional applications of the server and data processing, i.e., implements the email-based enterprise data exchange method of the above-described method embodiments, by running non-transitory software programs, instructions, and modules stored in the memory 32.

The memory 32 may include a storage program area that may store an operating system, at least one application program required for functions, and a storage data area; the storage data area may store data created according to the use of a processing device operated by the server, or the like. In addition, the memory 32 may include high-speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, memory 32 may optionally include memory located remotely from processor 31, which may be connected to a network connection device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The input means 33 may receive input numeric or character information and generate key signal inputs related to user settings and function control of the processing means of the server. The output device 34 may include a display device such as a display screen.

One or more modules are stored in the memory 32 that, when executed by the one or more processors 31, perform the method shown in fig. 1.

It will be appreciated by those skilled in the art that the whole or part of the flow of the method of the above embodiment may be implemented by a computer program to instruct related hardware, and may be stored in a computer readable storage medium, and the program may include the flow of the embodiment of the method as above when executed. Wherein the storage medium can be magnetic disk, CD, read-only memory (ROM, read-On lyMemory), random access memory (RandomAccessMemory, RAM), flash memory (F l ashMemory), hard disk (HARDDI SKDR IVE, abbreviated as HDD), solid state disk (solid-state disk-STATEDR IVE, SSD), etc.; the storage medium may also comprise a combination of memories of the kind described above.

Although embodiments of the present disclosure have been described with reference to the accompanying drawings, various modifications and variations may be made by those skilled in the art without departing from the spirit and scope of the disclosure, and such modifications and variations fall within the scope as defined by the appended claims.

Claims

1. A plant information recall method based on a plant information database, comprising:

Acquiring plant information to be put in storage;

Preprocessing the plant information to be stored in a pre-constructed plant information database, wherein the plant information is classified into a plurality of dimensions in the plant information database;

when a plant information recall request is triggered, content is instructed to recall from the database based on the request.

2. The plant information database-based plant information recall method of claim 1 wherein preprocessing the plant information for storage in a pre-built database comprises:

Labeling the plant information, and after the plant information is labeled, storing the labeled plant information into a plant information database, wherein the database comprises a pre-constructed label system, and storing the plant information based on the labeled label during storage;

or clustering the plant information, and storing the clustered plant information into a plant information database.

3. The plant information recall method based on the plant information database of claim 2 wherein the labels in the label system each correspond to a memory table in which structured data for different plants is stored, the structured data including plant category names, belonging regions, specifications, morphology descriptions, cultivation information, primary ornamental points, plant season phases, habit features, configuration patterns, application scenes, and associated images or videos.

4. The plant information recall method of claim 2 wherein the tag system comprises a plant category tag comprising evergreen tags, deciduous tags, arbor tags, shrub tags, vine tags, aquatic tags, palm tags, bamboo tags, perennial herb tags, one-year-old herb tags, ornamental herb tags, lawn tags, fern tags.

5. The plant information recall method based on a plant information database of claim 1 wherein the tag system comprises a design application tag system comprising a landscape tree tag, a soil-fixed revetment tag, a background forest tag, a landscape forest tag, a sponge scene tag, a pavement tree tag, a low maintenance tag, a flowers sea plant tag, a sound insulation forest tag, a wind forest tag, a hedge tag, a forestation plant tag, a shade tree tag, a flowers shrub tag, a wetlands plant tag, a flowers flower bed tag, a foundation planting tag, a bird attracting plant tag, a honey source plant tag, an aromatic plant tag, a fire prevention forest tag, a low cost tag, a homeland plant tag, an edible plant tag, a toxic plant tag, a thorn plant tag, a medicinal plant tag, a healthy plant tag, a flying cotton plant tag.

6. The plant information recall method of claim 1 wherein the tagging system comprises an ornamental feature tag comprising an ornamental site tag, a time tag, and a color tag.

7. The plant information recall method based on a plant information database of claim 1 wherein the tag system comprises a biological habit tag, wherein the biological tag system comprises water-tolerant, drought-tolerant, cold-tolerant, heat-tolerant, light-loving, shade-loving, salt-tolerant, deep root, shallow root, long-life, barren-tolerant, waterlogging-tolerant, life-strong, wind-tolerant, pollution-tolerant, fire-tolerant, fast-growing, slow-growing.

8. The plant information recall method based on a plant information database of any one of claims 3 to 7 wherein instructing recall of content from the database based on the request comprises:

Invoking one or more memory tables matched with the tag based on the tag indicated by the request;

Performing intersection between the matched storage tables;

And taking part or all of the plant information after the intersection as a recall result.

9. The plant information recall method of claim 8 wherein, when a plant information recall request is triggered, instructing content to recall from the database based on the request comprises:

When a plant information recall request is triggered, recall plant information based on a tag associated with the request text, wherein the request text includes descriptive text, or text similar to or identical to the tag.

10. The plant information recall method of claim 8 wherein, when a plant information recall request is triggered, instructing content to recall from the database based on the request comprises:

after the plant information recall request is triggered, extracting features of the request text;

Matching the extracted features with tags in a tag system;

plant information is recalled based on the matched tag.