WO2012045205A1 - Procédé d'interrogation électronique pour informations d'usine basées sur l'internet et système associé - Google Patents

Procédé d'interrogation électronique pour informations d'usine basées sur l'internet et système associé Download PDF

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Publication number
WO2012045205A1
WO2012045205A1 PCT/CN2010/077575 CN2010077575W WO2012045205A1 WO 2012045205 A1 WO2012045205 A1 WO 2012045205A1 CN 2010077575 W CN2010077575 W CN 2010077575W WO 2012045205 A1 WO2012045205 A1 WO 2012045205A1
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WIPO (PCT)
Prior art keywords
plant
information
name
keyword
species
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PCT/CN2010/077575
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English (en)
Chinese (zh)
Inventor
刘扬亮
Original Assignee
Liu Alion
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Publication date
Application filed by Liu Alion filed Critical Liu Alion
Priority to PCT/CN2010/077575 priority Critical patent/WO2012045205A1/fr
Priority to CN2011103215849A priority patent/CN102419763A/zh
Publication of WO2012045205A1 publication Critical patent/WO2012045205A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q90/00—Systems or methods specially adapted for administrative, commercial, financial, managerial or supervisory purposes, not involving significant data processing

Definitions

  • the invention relates to an internet-based plant information electronic query method and a system thereof.
  • the technical problem to be solved by the present invention is to provide an Internet-based plant information electronic query method and system thereof for quickly and accurately finding plant information materials required by a user and market information materials corresponding to the plants.
  • the technical solution of the present invention is to provide an Internet-based electronic method for querying plant information, comprising N servers on the Internet including a central processing unit and a storage unit, and M on the Internet including a video display unit and an input unit.
  • the electronic information query method of plant information constituted by the network terminal, wherein M and N are positive integers, and the characteristics are:
  • each plant species serves as an information unit, which contains three parts of the plant's plant attribute profile, plant commodity profile, and plant image data; and numerous plant species information units are based on the order of entry (
  • the ID number is stored and constitutes a plant information database, which is stored in the server; the details of each plant species information unit are as follows:
  • a plant attribute characteristic file comprising the plant attribute characteristic table, wherein the plant attribute characteristic table comprises the following contents:
  • the name of the plant including at least: the Latin name and Chinese name of the plant; may also include the English name, Chinese alias;
  • Ecological characteristics including: type of fallen leaves, growth type and shape characteristics;
  • Ecological habits including: lighting conditions, temperature conditions and moisture conditions; may also include suitable soils;
  • Plant application comprising: one or a combination of two or more of landscaping applications, environmental protection applications, medical medicinal applications, forestry materials applications, and agricultural production applications;
  • a plant product characteristic file comprising the plant product characteristic table, wherein the plant product characteristic table has the following contents:
  • the name of the plant including at least: the Latin name and Chinese name of the plant; may also include the English name, Chinese alias;
  • Buying information including: one or both of the purchaser's name and address, or contact information;
  • .sale information including: one or both of the name and address of the seller, or the contact information;
  • Plant product information including at least:
  • Commodity supply and commodity specifications may also include one or both of type and unit price;
  • the plant picture data file has the following contents:
  • Whole plant pictures, leaf pictures and flower pictures can also include fruit and seed pictures, root pictures and stem pictures;
  • the link is established with the picture, and the picture is organized and stored in a compressed format
  • type of fallen leaves including two types of leaves and evergreens; may also include semi-evergreen;
  • Growth type including woody plants, herbaceous plants and frond plants;
  • Shape characteristics root shape, stem characteristics, leaf characteristics, flower characteristics, fruit characteristics and seed characteristics
  • .. lighting conditions including the positive, neutral and shade of the three levels of plant sunshine demand; can also include the other two levels of Xiyang and shade tolerance plant sunshine demand;
  • Temperature conditions including the temperature requirements of the three grades of heat tolerance, warmth and cold resistance; it may also include the degree of sunshine demand of the other two grades of heat and extreme cold resistance;
  • Moisture conditions including the drought tolerance, medium health, moisture tolerance and aquatic four levels of plant water demand; can also include the degree of plant water demand of two grades of drought and wet;
  • Ecological habits may also include suitable soils: soil-to-soil demand characteristics including soil acidity and alkalinity, soil water permeability and soil fertility;
  • Viewing type contains three basic viewing characteristics: flower viewing, fruit viewing and leaf viewing;
  • Planting method including three kinds of planting methods such as home decoration, garden configuration and shade cultivation;
  • planting site at least the specific site, may also include the nature of the land;
  • ..Environmental use including four basic environmental protection applications: protective use, anti-pollution use, noise reduction and purification;
  • Environmentally friendly uses may also include plant technology: including the currently used environmental biological purification technology features of terrestrial plant technology (TPS) and aquatic plant technology (APS);
  • TPS terrestrial plant technology
  • APS aquatic plant technology
  • Medicinal parts including whole grass, roots, stems, leaves, flowers, fruits, seeds or medicinal parts.
  • Efficacy type one type or a combination of two or more of solution, heat, diarrhea, warming, dampness, qi, hemostasis, deworming, digestion, tonic, phlegm, cough and sedative ;
  • .. drug taste contains two characteristics of medicinal and medicinal taste
  • chemical composition comprising one of alkaloids, glycosides, organic acids, tannins, amino acids, proteins, sugars, and plant colors, or a combination of two or more thereof;
  • wood properties including one of wood texture, wood structure, wood density, wood shrinkage, wood strength, wood durability and wood processing properties, or a combination of two or more thereof;
  • Log identification features including four basic identification features of bark features, material table features, trunk section features and auxiliary features;
  • construction identification features including one of a catheter or a tube hole, an axial parenchyma, a tube hole inclusion, a wood ray, a wood fiber, a tracheid, a growth wheel, and an axial intercellular tract, or two of them Combination of the above;
  • .. crop type contains three basic crop types: field crops, fruit trees and vegetables;
  • Product type including seeds, bag seedlings and potted seedlings, and may also include plant commodity types such as fake seedlings;
  • Product specifications including seedling DBH, crown width, height, and may also include plant seeds or plant body weight;
  • Commodity unit price the price including the unit quantity or unit weight
  • Output plant species information file including the plant attribute description, picture data, and market information.
  • the retrieval system includes a "multi-level attribute feature retrieval system” and a “commodity feature retrieval system”, and each retrieval system has a corresponding retrieval form, and the contents thereof are respectively related to the contents of the plant attribute characteristic table and the plant product characteristic table in the database. correspond.
  • the search form of the multi-level attribute feature retrieval system includes five major items: plant name, origin and distribution, plant application, biological characteristics and ecological habits. Each large item has a corresponding search form expansion column; when searching, in the plant
  • a multi-level search form can be developed for any of the names, origins and distributions, plant applications, biological characteristics, and ecological habits.
  • N keywords (N is equal to zero) are selected. After the keywords are selected, the computer is in the database. Correlate search in the "Attribute Characteristic Table" of each species, as long as one of the keywords does not exist, the exception error processing is performed; if all the keywords are present, the plant text data, plant picture data and all the keywords satisfying all the keywords are output.
  • Market information if N is equal to zero, the species data of 1000 or less in the database is output in the order of the plant Latin name AZ.
  • the product feature search window can only be used alone.
  • the computer queries the keyword in the "product feature table" of each product in the database, if Keywords, the plant text data, plant picture data and market information materials satisfying the keyword are output; if not, the exception error processing is performed; if N is equal to zero, 1000 databases in the database Latin alphabet name letter AZ are output. Species information within.
  • the plant information database is composed of more than 30,000 plant species information units, and each information unit generates an ID number according to the species information input order, that is, one species information unit corresponds to one ID number; the name of the plant The Latin name is the same; the plant classification of the database is consistent with the classification system used in the Chinese Flora, and is classified according to the three levels of the family of the Engler plant classification system.
  • the invention also provides an Internet-based plant information electronic inquiry system, comprising N servers on the Internet including a central processing unit and a storage unit, and M network terminals including a video display unit and an input unit on the Internet.
  • Plant information electronic inquiry device wherein M and N are positive integers;
  • a retrieval unit configured to respond to the query requested by the network terminal, and retrieve the stored file related to the query from the database to define an output file or file group;
  • Plant species information that is, a plant attribute profile, a plant commodity profile, and a picture profile corresponding to the Latin name in the plant name in the feature table are stored in each storage unit.
  • the invention adopts the scientific database construction method and the fast query method, and has the advantages of quickly and accurately finding the plant information data required by the user and the plant market information data corresponding to the plant information data.
  • FIG. 1 is a block diagram showing the structure of a query method of the present invention.
  • Figure 2 is a schematic view showing the structure of a plant information database in the present invention.
  • Figure 3 is a schematic diagram showing the logical relationship of plant information in the present invention.
  • FIG. 4 is a schematic diagram of a query box for inputting a keyword using a search window.
  • FIG. 5 is a schematic diagram of a total interface when the query is selected by the present invention.
  • FIG. 6 is a schematic diagram of a query box after a plurality of keywords are selected in FIG. 5.
  • Figure 7 is a schematic diagram of the results of the query.
  • Figure 8 is a schematic diagram of the query interface of the genus according to the name of the plant.
  • Figure 9 is a schematic diagram of the query interface under the condition of the name of the department.
  • Figure 10 is a schematic diagram of the query interface under the condition of a generic name.
  • Figure 11 is a schematic diagram of the query interface under the condition of a species name.
  • Figure 12 is a schematic diagram of the query interface based on the origin and distribution.
  • Figure 13 is a schematic diagram of the query interface based on the characteristics of the plant application.
  • Figure 14 is a schematic diagram of a query interface with biological characteristics as conditions.
  • Figure 15 is a schematic diagram of the query interface based on the plant ecological habits.
  • Figure 16 is a diagram showing the market information inquiry interface and results in the present invention.
  • Figure 17 is a diagram showing the structure of an inquiry system in the present invention.
  • FIG. 1 is a block diagram showing the structure of a query method of the present invention.
  • the structure of the plant information database is shown in Figure 2.
  • the whole database consists of many (35,000 illustrated) plant species information units; each information unit contains attribute characteristics files, commodity characteristics files, and image data of a certain plant species.
  • the plant attribute feature file further includes a plant attribute feature table and attribute feature text information, and links with corresponding plant pictures in the picture data;
  • the plant product feature file includes a plant product feature table, a product feature text information, and a merchant introduction text information. And link to the corresponding product image in the image data.
  • Figure 3 is a schematic diagram showing the logical relationship of plant information in the present invention.
  • the Engler plant classification system and omit the classification level above the “family”, extract the three basic classification units of families, genera and species, and classify more than 30,000 plants in the database step by step; each plant species Two branches of plant attribute features and commodity features are separated; plant attribute features include attribute descriptions (the keywords correspond to keywords in the attribute feature search form), and links with corresponding plant pictures; plant product features include product descriptions ( The keywords correspond to the keywords in the product feature search form, the merchant description, and establish a link with the corresponding product image.
  • search system expansion column a keyword is selected or a search window is used to input a keyword.
  • the keyword query mode is selected.
  • the query system includes a multi-level plant feature retrieval form with plant characteristics, industry application characteristics, and market product characteristics, as shown in FIG. 5 (the example in the figure is a search form of the “plant application” search expansion column), which includes the plant name.
  • the picture shows the name of the vegetation), the origin and distribution, the application of the plant (in the picture for the application of grass), biological characteristics, ecological habits and commodity characteristics.
  • the name of the plant the name of the plant in the picture
  • the origin and distribution, the application of the plant the application of the grass in the picture
  • the biological characteristics and the ecological habits can be individually selected, or can be combined and ticked.
  • the retrieval process in Figure 4 is shown in Figure 4; when the composite check is selected (that is, two or more keywords), its retrieval process in the server is as shown in Figure 6, accessing all species in the database.
  • "Attribute feature table” whether the first keyword is in the table, if there is no first keyword, then the exception error processing; if the first keyword exists, then all the species information elements containing the keyword are generated a temporary file group; if there are additional keywords after the keyword, the other keywords in the first temporary file are searched for other keywords in turn, and the Nth temporary file is generated; in the Nth temporary file
  • the N+1 keyword is queried in all the species attribute characteristics table. If there is no N+1 keyword, the exception error processing is processed. If it exists, all species information in the Nth temporary file is directly listed according to the plant Latin name. The order of AZ is output in order.
  • the search window inputs keywords.
  • the query system is the same as the first one. The difference is that: the query method does not need to click the expand bar to select keywords, but input keywords directly in the input box; second, the query mode only supports in one input box. Enter a keyword, you can not check more than two keywords in the same query window as in the first method.
  • the plant names are classified according to three levels of the genus, each of which is arranged by the letters A-Z. If the first letters of the plant names are the same, the second words are arranged in A-Z, and so on.
  • FIG. 7 is a schematic diagram of the search result of the single query or any combination query in FIG. 5, and clicking the corresponding “View” link, the text introduction or picture or market information related to the species can be seen.
  • Fig. 8 is a general schematic diagram of the query mode of the drop-down selection of plant family, genus and species name, which is selected according to the plant name, genus name and species name, and finally obtains the text data and pictures including the target plant. Information and corresponding market information materials.
  • Figure 9-11 shows the example of finding the plant of the two-winged six-wood road. First, select the name of the family (Lonicerae), then select the generic name (six genus), and then choose the species name (two-winged six-way wood). ), that is, the name of the species to be queried, and finally the system will output the plant information related to the "two-winged six-way wood" (the last step is omitted in the example figure).
  • FIG. 12 is a schematic diagram of searching for the origin and distribution of plants.
  • the origin and distribution of plants are set according to the three geographical distributions of China, the world, and the global climate zone.
  • the geographical distribution of China is refined to the provincial-level administrative level, and the global distribution is refined to various countries.
  • Figure 13 is based on the characteristics of plant application. According to the industry classification of direct application of plants, there are five categories of garden ornamental, environmental protection application, medical medicinal, forestry materials and agricultural production. Subdivided into multiple levels of subclasses. When you query, just hit " ⁇ " in front of the corresponding box. The picture shows the red flower in the garden as an example.
  • FIG. 14 is a query of biological characteristics, and mainly has three types of query conditions: growth type, leaf type, and shape feature, and each category is subdivided into multiple levels of subclasses.
  • the flowering period of the shape feature is used as an example of the "autumn flower” to illustrate the query method. When querying, just hit " ⁇ " in front of the corresponding box.
  • Figure 15 is a query of ecological habits.
  • the ecological habits mainly include five major categories of growth speed, light conditions, water conditions, temperature conditions, and suitable soil. Each category also has multiple levels. class. Just click " ⁇ " in front of the corresponding box when you query.
  • the invention can also be queried by the plant market information, see FIG. 16, which also supports the selection query and the window input query, and the window input query supports the fuzzy query, that is, the specific plant name is not known, and only the characteristics and requirements of the product are set, and the query can be checked.
  • the comprehensive query is made to select “Guangxi” and the product specification is “6-10 cm in diameter”.
  • the right side of the figure is the result of the query.
  • the Internet-based plant information electronic inquiry system of the present invention comprises N servers including a central processing unit and a storage unit on the Internet, and M networks including a video display unit and an input unit on the Internet.
  • a plant information electronic inquiry device composed of terminals, wherein M and N are positive integers;
  • the retrieval unit is configured to respond to the query requested by the network terminal, and retrieve the stored file related to the query from the database to define an output file or file group.
  • the applicant analyzed and summarized the users who need to understand the plants, and divided the crowd into three categories, one is the ordinary people, the other is the workers in the plant application industry, and the third is the botanist and the plant research worker. .
  • the applicants also analyzed their needs:
  • the first class of ordinary people mainly family flowers and enthusiasts, they want to understand the plant's ornamental characteristics, cultivation and maintenance knowledge, market information.
  • the second group of people want to know about plant knowledge and market information related to their own industry.
  • the direct application of plants through summary, mainly has the following aspects: landscaping, environmental protection, medical medicinal, forestry materials, agricultural production.
  • Landscaping mainly involves the plant characteristics and application characteristics of the plant's ornamental type, applicable type, planting method and planting place.
  • Environmental protection mainly involves the use of plants in environmental protection, plant environmental protection technologies and plant species commonly used at present.
  • Protect three contents; medical medicinal refer to Chinese pharmacy theory, mainly based on plant medicinal parts, efficacy types, medicinal taste, toxicity, chemical composition and other five aspects of plant medicinal characteristics; forestry materials, from Wood application, log identification characteristics, structural identification characteristics, wood traits are summarized in the direct application characteristics of plants in forestry; agricultural production, mainly on crop types and practical characteristics, summarizes plant applications in agricultural production, crops The types are classified according to the classification of agronomy, and the practical characteristics are mainly summarized according to the characteristics of plants in agricultural applications. There are four practical characteristics of edible ingredients, honey source characteristics, oil characteristics and fiber characteristics. The application of the above five aspects is not one-size-fits-all, but related to each other.
  • landscaping also needs environmental characteristics such as environmental protection and pollution
  • agricultural production includes medicinal plants.
  • the system mainly uses plants according to industry classification. The characteristics are summarized, and the anti-pollution characteristics in landscaping are incorporated into environmental protection applications, and the medicinal plants in agricultural production are independently incorporated into medical medicinal.
  • the 5+1 query system was mainly used: plant name query, origin and distribution query, plant application feature query, biological feature query, ecological habit query, 5 fixed feature queries, 1 Dynamic information query - plant market information query.
  • the five fixed features can be queried separately or combined with each other, which can solve cross-industry inquiries, various plant feature comprehensive queries and other problems that cannot be solved at present; market information query is an independent query method, and 5 fixed feature queries Can not be combined.
  • the target plant data in the database is divided into three parts for description, one is text introduction, the second is picture data, and the third is market information, so that market practice and theoretical data Combine with each other.

Abstract

L'invention concerne un procédé d'interrogation électronique pour informations d'usine basées sur l'Internet et un système associé. Le système comprend N serveurs et M terminaux de réseau de l'Internet. Le procédé consiste à : établir un base de données d'informations d'usine ; après la saisie ou la sélection d'un mot clé, interroger la base de données d'informations d'usine pour déterminer si le mot clé se trouve dans la base de données ; si ce n'est pas le cas, passer au traitement d'erreurs d'exception, mais si c'est le cas, sortir des données textuelles relatives à l'usine, des données d'images d'usine et des données d'information relatives au marché, correspondant à la caractéristique à interroger. Le schéma technique présente l'avantage de trouver les informations d'usine correspondantes rapidement et avec exactitude, conformes aux besoins de l'utilisateur, et permet de donner simultanément une référence pour l'identification initiale de l'usine.
PCT/CN2010/077575 2010-10-07 2010-10-07 Procédé d'interrogation électronique pour informations d'usine basées sur l'internet et système associé WO2012045205A1 (fr)

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PCT/CN2010/077575 WO2012045205A1 (fr) 2010-10-07 2010-10-07 Procédé d'interrogation électronique pour informations d'usine basées sur l'internet et système associé
CN2011103215849A CN102419763A (zh) 2010-10-07 2011-10-05 基于因特网的植物信息电子查询方法及其系统

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PCT/CN2010/077575 WO2012045205A1 (fr) 2010-10-07 2010-10-07 Procédé d'interrogation électronique pour informations d'usine basées sur l'internet et système associé

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113111672A (zh) * 2021-04-13 2021-07-13 中国科学院东北地理与农业生态研究所 一种真湿地植物的判定方法

Citations (2)

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Publication number Priority date Publication date Assignee Title
JP2003281151A (ja) * 2002-03-19 2003-10-03 Toshiba Corp 検索システム
CN101661474A (zh) * 2008-08-26 2010-03-03 华为技术有限公司 一种搜索方法和系统

Patent Citations (2)

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Publication number Priority date Publication date Assignee Title
JP2003281151A (ja) * 2002-03-19 2003-10-03 Toshiba Corp 検索システム
CN101661474A (zh) * 2008-08-26 2010-03-03 华为技术有限公司 一种搜索方法和系统

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113111672A (zh) * 2021-04-13 2021-07-13 中国科学院东北地理与农业生态研究所 一种真湿地植物的判定方法

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