Animal and plant resource investigation system and method

Abstract

The invention discloses an animal and plant resource investigation system and method.The animal and plant resource investigation system comprises a geographic position information module, a data collection module and a data management module, and the geographic position information module is used for obtaining remote sensing image data of an animal and plant investigation area and current investigation position information corresponding to the remote sensing image data; displaying the current investigation position information on a graphical user interface; the data acquisition module is used for acquiring animal and plant investigation data in an animal and plant investigation area according to the current investigation position information; and the data management module is used for performing statistical analysis on the animal and plant survey data to obtain a statistical analysis result, and generating an animal and plant resource survey report according to the statistical analysis result. The resource investigation flexibility and the resource collection efficiency can be improved, errors and omissions possibly occurring in a traditional recording mode are reduced, and the method can be widely applied to the technical field of data collection.

Description

Technical Field

[0001] The present application relates to the field of data collection technology, and in particular to a system and method for investigating animal and plant resources. Background Art

[0002] At present, the survey methods of animal and plant basic resources mainly include two main aspects: traditional ground manual observation and continuous automatic data collection observation using intelligent terminal equipment. Although the survey and research of animal and plant resources has made great progress, it is limited by the actual conditions in the field. The traditional survey of sample plots / sample lines / sample points still requires a large number of professional investigators to conduct on-site surveys and record species scientific names, population numbers, habitat factors, sample plot data and other information through paper forms. The data collection efficiency of traditional survey work is low, the probability of data loss and damage is high, and the subsequent data collation and analysis is time-consuming and laborious; in addition, the digital survey system of related technologies often has a single function and still has major drawbacks in terms of timeliness, convenience and data management.

[0003] In summary, the technical problems existing in the relevant technologies need to be improved. Summary of the invention

[0004] The embodiments of the present application aim to solve at least one of the technical problems in the related art to a certain extent. To this end, the main purpose of the embodiments of the present application is to propose a plant and animal resource survey system and method, which can improve the flexibility of resource survey and resource collection efficiency, while reducing the errors and omissions that may occur in traditional recording methods.

[0005] To achieve the above-mentioned purpose, an embodiment of the present application provides a plant and animal resource survey system, which is applied to a mobile terminal and provides a graphical user interface through the mobile terminal. The plant and animal resource survey system includes a geographic location information module, a data collection module and a data management module, wherein:

[0006] The geographic location information module is used to obtain remote sensing image data of the animal and plant survey area and current survey location information corresponding to the remote sensing image data, and display the current survey location information on the graphical user interface; wherein the current survey location information includes at least one of the following: survey point, survey track and current location of the investigator;

[0007] The data collection module is used to collect the animal and plant survey data in the animal and plant survey area according to the current survey location information;

[0008] The data management module is used to perform statistical analysis on the animal and plant survey data to obtain statistical analysis results, and to generate an animal and plant resource survey report based on the statistical analysis results.

[0009] In some embodiments, the geographic location information module includes an acquisition unit, a switching unit and a location display unit, wherein:

[0010] The acquisition unit is used to acquire the remote sensing image data of the animal and plant survey area, and is also used to acquire the current survey location information corresponding to the current remote sensing image data according to the current remote sensing image data selected by the switching unit; wherein the remote sensing image data includes remote sensing image data from different data sources and remote sensing image data with different data precision;

[0011] The switching unit is used to switch remote sensing image data from different data sources according to the animal and plant survey task, and is also used to switch remote sensing image data with different data precision according to the animal and plant survey task;

[0012] The position display unit is used to display the current survey position information corresponding to the current remote sensing image data on the graphical user interface according to the current remote sensing image data selected by the switching unit.

[0013] In some embodiments, the data acquisition module includes a voice recording unit and an image recording unit, wherein:

[0014] The voice recording unit is used to perform data extraction processing on the voice input data to obtain voice key data, and generate an electronic survey record form according to the voice key data;

[0015] The image recording unit is used to perform data extraction processing on the image input data to obtain image key data, and generate a species survey list based on the image key data;

[0016] The data source of the plant and animal survey data includes the key voice data extracted by the voice recording unit and the key image data extracted by the image recording unit.

[0017] In some embodiments, the data management module includes an identification unit and a collation and analysis unit, wherein:

[0018] The identification unit is used to classify and identify the animal and plant survey data to obtain species classification results;

[0019] The sorting and analyzing unit is used to perform statistical analysis on the species classification results according to the species diversity index to obtain the statistical analysis results, and generate the animal and plant resources survey report based on the statistical analysis results.

[0020] To achieve the above object, another aspect of the embodiment of the present application provides a method for investigating animal and plant resources, which is applied to a mobile terminal, provides a graphical user interface through the mobile terminal, and is applied to the animal and plant resource investigation system as described above, wherein the animal and plant resource investigation system includes a geographic location information module, a data acquisition module, and a data management module, and the method includes the following steps:

[0021] Acquire remote sensing image data of the plant and animal survey area and current survey location information corresponding to the remote sensing image data through the geographic location information module, and display the current survey location information on the graphical user interface; wherein the current survey location information includes at least one of the following: survey point, survey track, and current location of the investigator;

[0022] Collecting the plant and animal survey data in the plant and animal survey area according to the current survey location information by the data collection module;

[0023] The data management module performs statistical analysis on the animal and plant survey data to obtain statistical analysis results, and generates an animal and plant resource survey report based on the statistical analysis results.

[0024] In some embodiments, the geographic location information module includes an acquisition unit and a switching unit, and the acquisition of remote sensing image data of an animal and plant survey area and current survey location information corresponding to the remote sensing image data through the geographic location information module includes:

[0025] Acquiring the remote sensing image data of the animal and plant survey area by the acquisition unit;

[0026] Selecting current remote sensing image data from the remote sensing image data by the switching unit;

[0027] The current survey position information corresponding to the current remote sensing image data is acquired by invoking the device positioning function through the acquisition unit.

[0028] In some embodiments, the data collection module includes a voice recording unit and an image recording unit, and collecting the plant and animal survey data in the plant and animal survey area according to the current survey location information through the data collection module includes:

[0029] Acquire voice input data corresponding to the current survey location information;

[0030] Performing data extraction processing on the voice input data by the voice recording unit to obtain voice key data, and recording the voice key data in the animal and plant survey data in the animal and plant survey area;

[0031] or,

[0032] Acquire image input data corresponding to the current survey location information;

[0033] The image recording unit performs data extraction processing on the image input data to obtain image key data, and the image key data is recorded in the animal and plant survey data in the animal and plant survey area.

[0034] In some embodiments, the extracting and processing the voice input data by the voice recording unit to obtain voice key data includes:

[0035] Invoking a speech recognition function through the speech recording unit to convert the speech input data into text input data;

[0036] In the speech recording unit, the text input data is corrected by a text correction model to obtain text data to be extracted;

[0037] In the voice recording unit, data extraction processing is performed on the text data to be extracted according to preset form field information to obtain the voice key data.

[0038] In some embodiments, the step of performing data extraction processing on the image input data by the image recording unit to obtain image key data includes:

[0039] In the image recording unit, the image input data is identified and processed by calling the animal and plant identification function constructed by the deep learning model, and the image key data in the image input data is extracted.

[0040] In some embodiments, the data management module includes an identification unit and a collation and analysis unit, and the data management module performs statistical analysis on the animal and plant survey data to obtain statistical analysis results, and generates an animal and plant resource survey report based on the statistical analysis results, including:

[0041] Classify and identify the animal and plant survey data through the identification unit to obtain species classification results;

[0042] The sorting and analyzing unit performs statistical analysis on the species classification results according to the species diversity index to obtain the statistical analysis results, and generates the animal and plant resources survey report based on the statistical analysis results.

[0043] The embodiments of the present application include at least the following beneficial effects: the present application provides a plant and animal resource survey system and method, the plant and animal resource survey system is applied to a mobile terminal, and a graphical user interface is provided through the mobile terminal. The plant and animal resource survey system includes a geographic location information module, a data acquisition module and a data management module, wherein: the geographic location information module is used to obtain remote sensing image data of the plant and animal survey area and the current survey location information corresponding to the remote sensing image data, and display the current survey location information on the graphical user interface; wherein the current survey location information includes at least one of the following: survey points, survey trajectories and the current location of the investigators; the data acquisition module is used to collect plant and animal survey data within the plant and animal survey area according to the current survey location information; the data management module is used to perform statistical analysis on the plant and animal survey data to obtain statistical analysis results, and generate a plant and animal resource survey report based on the statistical analysis results. The graphical user interface provided by the mobile terminal device in the embodiment of the present application allows investigators to enter, query and analyze data anytime and anywhere, and can automatically generate animal and plant resource survey reports according to different survey needs and methods, which greatly improves the flexibility of the survey and the efficiency of data collection, while also reducing the errors and omissions that may occur in traditional recording methods. In addition, the data management module can quickly process a large amount of complex survey data to generate statistical analysis results through efficient statistical analysis functions, which not only simplifies the process of data collation and analysis, but also can quickly generate scientific and accurate animal and plant resource survey reports, providing strong support for resource protection and management. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 It is a structural diagram of an animal and plant resources survey system provided in an embodiment of the present application;

[0045] Figure 2 This is a schematic diagram of a sample line survey interface provided in an embodiment of the present application;

[0046] Figure 3 This is a schematic diagram of an interface for inputting animal resource data provided in an embodiment of the present application;

[0047] Figure 4 is a schematic diagram of an image recognition interface provided by an embodiment of the present application;

[0048] Figure 5 This is a schematic diagram of a voice recognition interface provided by an embodiment of the present application;

[0049] Figure 6 It is a flowchart of the steps of a method for investigating animal and plant resources provided by an embodiment of the present application;

[0050] Figure 7 It is a flow chart of an animal and plant resource survey method based on an animal and plant resource survey system provided in an embodiment of the present application;

[0051] Figure 8 It is a schematic diagram of the hardware structure of the electronic device provided in the embodiment of the present application. DETAILED DESCRIPTION

[0052] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application is further described in detail below in conjunction with the accompanying drawings and examples. It should be understood that the specific embodiments described herein are only used to explain the present application and are not intended to limit the present application. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the embodiments of the present application. They are only examples of devices and methods consistent with some aspects of the embodiments of the present application as detailed in the attached claims.

[0053] It is understood that the terms "first", "second", etc. used in this application can be used to describe various concepts in this article, but unless otherwise specified, these concepts are not limited by these terms. These terms are only used to distinguish one concept from another concept. For example, without departing from the scope of the embodiment of the present application, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the words "if" and "if" as used herein can be interpreted as "at the time of" or "when" or "in response to determination".

[0054] The terms "at least one", "multiple", "each", "any", etc. used in this application, at least one includes one, two or more, multiple includes two or more, each refers to each of the corresponding multiple, and any refers to any one of the multiple.

[0055] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application belongs. The terms used herein are only for the purpose of describing the embodiments of this application and are not intended to limit this application.

[0056] At present, the survey methods of animal and plant basic resources mainly include two main aspects: traditional ground manual observation and continuous automatic data collection observation using intelligent terminal equipment. Although the survey and research of animal and plant resources has made great progress, it is limited by the actual conditions in the field. The traditional survey of sample plots / sample lines / sample points still requires a large number of professional investigators to conduct on-site surveys and record species scientific names, population numbers, habitat factors, sample plot data and other information through paper forms. The data collection efficiency of traditional survey work is low, the probability of data loss and damage is high, and the subsequent data collation and analysis is time-consuming and laborious; in addition, the digital survey system of related technologies often has a single function and still has major drawbacks in terms of timeliness, convenience and data management.

[0057] In view of this, an embodiment of the present application provides a plant and animal resource survey system and method, the plant and animal resource survey system is applied to a mobile terminal, and a graphical user interface is provided through the mobile terminal. The plant and animal resource survey system includes a geographic location information module, a data acquisition module and a data management module, wherein: the geographic location information module is used to obtain remote sensing image data of the plant and animal survey area and the current survey location information corresponding to the remote sensing image data, and display the current survey location information on the graphical user interface; wherein the current survey location information includes at least one of the following: survey points, survey trajectories and the current location of the investigators; the data acquisition module is used to collect plant and animal survey data within the plant and animal survey area according to the current survey location information; the data management module is used to perform statistical analysis on the plant and animal survey data to obtain statistical analysis results, and generate a plant and animal resource survey report based on the statistical analysis results. The graphical user interface provided by the mobile terminal device in the embodiment of the present application allows investigators to enter, query and analyze data anytime and anywhere, and can automatically generate animal and plant resource survey reports according to different survey needs and methods, which greatly improves the flexibility of the survey and the efficiency of data collection, while also reducing the errors and omissions that may occur in traditional recording methods. In addition, the data management module can quickly process a large amount of complex survey data to generate statistical analysis results through efficient statistical analysis functions, which not only simplifies the process of data collation and analysis, but also can quickly generate scientific and accurate animal and plant resource survey reports, providing strong support for resource protection and management.

[0058] The animal and plant resource survey method provided in the embodiment of the present application relates to the field of data collection technology. The animal and plant resource survey method provided in the embodiment of the present application can be applied to a terminal, can also be applied to a server, and can also be software running in a terminal or a server. In some embodiments, the terminal can be a smart phone, a tablet computer, a laptop computer, a desktop computer, a smart speaker, a smart watch, and a car terminal, etc., but is not limited to this; the server side can be configured as an independent physical server, or it can be configured as a server cluster or a distributed system composed of multiple physical servers, and can also be configured to provide cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN (Content Delivery Network, content distribution network) and big data and artificial intelligence platforms and other basic cloud computing services. The cloud server, the server can also be a node server in the blockchain network; the software can be an application that implements the animal and plant resource survey method, etc., but is not limited to the above forms.

[0059] The present application can be used in many general or special computer system environments or configurations. For example: personal computers, server computers, handheld devices or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronic devices, network PCs (Personal Computers, personal computers), minicomputers, mainframe computers, distributed computing environments including any of the above systems or devices, etc. The present application can be described in the general context of computer executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform specific tasks or implement specific abstract data types. The present application can also be practiced in distributed computing environments, in which tasks are performed by remote processing devices connected through a communication network. In a distributed computing environment, program modules can be located in local and remote computer storage media including storage devices.

[0060] See also Figure 1 , Figure 1 It is a structural diagram of an animal and plant resources survey system provided in an embodiment of the present application; Figure 1 The system is applied to a mobile terminal, and a graphical user interface is provided through the mobile terminal. The plant and animal resources survey system includes a geographic location information module, a data collection module, and a data management module, wherein:

[0061] The geographic location information module is used to obtain remote sensing image data of the animal and plant survey area and current survey location information corresponding to the remote sensing image data, and display the current survey location information on the graphical user interface; wherein the current survey location information includes at least one of the following: survey point, survey track and current location of the investigator;

[0062] The data collection module is used to collect the animal and plant survey data in the animal and plant survey area according to the current survey location information;

[0063] The data management module is used to perform statistical analysis on the animal and plant survey data to obtain statistical analysis results, and to generate an animal and plant resource survey report based on the statistical analysis results.

[0064] Mobile terminals refer to portable electronic devices, such as smart phones, tablet computers, or specialized data collection devices, which have certain computing and storage capabilities, can run applications, and collect and process data on the move. Graphical user interfaces refer to the interface through which users interact with mobile terminals, which displays information in a graphical way, allowing users to interact with the system through operations such as clicking and sliding. Figure 2 , Figure 2 is a schematic diagram of a sample line survey interface provided in an embodiment of the present application; Figure 2 As shown, Figure 2 200 represents a mobile terminal (example), and the mobile terminal 200 can provide a graphical user interface.

[0065] For the animal and plant survey area, it is the specific geographical area where the animal and plant resources survey is required. This area may include but is not limited to: forests, wetlands, grasslands and other ecological environments. For remote sensing image data, it is the image data of the earth's surface obtained by satellite, aerial photography, etc. These data can be used to identify surface features, including vegetation coverage, topography, etc.

[0066] Optionally, the current survey location information refers to the location information of the survey personnel or survey equipment obtained in real time during the survey of plant and animal resources. The current survey location information includes at least one of the following: survey point, survey trajectory and current location of the survey personnel, wherein the survey point is the specific location point of the survey, the survey trajectory is the path formed during the survey process, and the current location of the survey personnel is the real-time location of the survey personnel.

[0067] Among them, the animal and plant survey data are data collected in the survey area on the species, quantity, distribution, growth conditions, etc. of animals and plants. The animal and plant survey data include at least one of the following: basic information, sample line information, sample site information, species information, environmental factors, habitat types, interference factors, image data and remarks information.

[0068] As for the statistical analysis results, they are statistical information and conclusions about animal and plant resources obtained by processing and analyzing animal and plant survey data; based on the statistical analysis results, an animal and plant resource survey report can be automatically generated. The animal and plant resource survey report is used to report the survey situation of animal and plant resources, including the distribution, status, and changing trends of resources, to provide a basis for resource management and protection.

[0069] In the specific implementation, the animal and plant resources survey system can be understood as an application (Application, referred to as APP). The animal and plant resources survey system includes a geographic location information module, a data acquisition module and a data management module. The geographic location information module is used to obtain the remote sensing image data of the animal and plant survey area and the current survey location information corresponding to the remote sensing image data, and display the current survey location information on the graphical user interface; the data acquisition module is used to collect animal and plant survey data within the animal and plant survey area according to the current survey location information; the data management module is used to perform statistical analysis on the animal and plant survey data to obtain statistical analysis results, and generate an animal and plant resources survey report based on the statistical analysis results.

[0070] Among them, the geographic location information module includes the functions of location acquisition, data switching and location recording. Specifically, ① the location acquisition function can use the GPS (Global Positioning System) positioning function of the mobile terminal to obtain the location information of the survey point in real time; ② the data switching function can select remote sensing image data from different sources and with different accuracy according to the survey needs; ③ the location recording function is a function that can display the survey site, survey trajectory, real-time location of the investigator, etc. on the map and record it by itself.

[0071] Among them, the data acquisition module includes the functions of voice recording, image recording, manual compounding and data warehousing. Specifically, ① the voice recording function allows investigators to record on-site observation information through voice, thereby improving the recording speed, specifically converting voice records into text, and then automatically extracting key information, such as species name, quantity, distribution and other data; ② the image recording function supports users to shoot or record image data of wild animals and plants through the survey system for subsequent species identification and appraisal; ③ the manual compounding function provides manual proofreading and supplementary functions to ensure the accuracy of the data; ④ the data warehousing function automatically imports the sorted data into the system database. In order to adapt to the poor network conditions in the wild environment, the survey APP has an offline mode, allowing users to collect and record data in an offline environment, and synchronize and upload data when there is a network.

[0072] Among them, the data management module includes the functions of species identification and appraisal, data analysis, data import and export, and project management. Specifically, ① the species identification and appraisal function has a built-in species identification function, which can identify and classify wild animals and plants through taken pictures or recorded sounds, and provide real-time reference for field identification work, thereby improving survey efficiency; ② the data analysis function provides basic data statistical analysis functions, such as species diversity index calculation, distribution map drawing, etc.; ③ the data import and export function supports data backup, recovery and data exchange with other software; ④ the project management function supports the creation and management of multiple survey projects, each of which can contain multiple data records.

[0073] In some embodiments, the geographic location information module includes an acquisition unit, a switching unit and a position display unit, wherein: the acquisition unit is used to acquire remote sensing image data of the animal and plant survey area, and is also used to acquire current survey location information corresponding to the current remote sensing image data based on the current remote sensing image data selected by the switching unit; wherein the remote sensing image data includes remote sensing image data from different data sources and remote sensing image data with different data precisions; the switching unit is used to switch remote sensing image data from different data sources according to the animal and plant survey task, and is also used to switch remote sensing image data with different data precisions according to the animal and plant survey task; the position display unit is used to display the current survey location information corresponding to the current remote sensing image data on a graphical user interface based on the current remote sensing image data selected by the switching unit.

[0074] The remote sensing image data includes remote sensing image data from different data sources and remote sensing image data with different data precisions. When the switching unit selects the current remote sensing image data from the remote sensing image data acquired by the acquisition unit, the current survey location information corresponding to the current remote sensing image data is displayed on the graphical user interface. The graphical user interface displays a real-time map of the current survey area such as Figure 2 As shown, Figure 2 Reference numeral 201 indicates a real-time map of the current survey area.

[0075] Specifically, the geographic location information module includes an acquisition unit, a switching unit and a location display unit, wherein the acquisition unit is used to acquire remote sensing image data; the switching unit is used to switch remote sensing image data of different sources and different accuracies according to survey requirements; the location display unit is used to display the survey points, survey trajectories and the real-time location of investigators in real time, and can also record the points and survey trajectory data according to survey requirements.

[0076] In a specific implementation, before the start of the plant and animal resource survey, a smart terminal device (such as a smart phone or tablet computer) can be used to open the survey system APP, first create a new project file in the project management unit, and cache or directly download the remote sensing image data of the survey area according to the established survey scope. Among them, the remote sensing data acquired by the geographic location information module in the embodiment of the present application is an online image map of a third-party map software. In addition, the geographic location information module is also used to record survey points and trajectory data. The point data can be recorded through manual input, voice recognition, and project photography. The trajectory data is recorded manually or verbally to provide staged motion trajectory information from the beginning to the end of the survey.

[0077] In some embodiments, the data acquisition module includes a voice recording unit and an image recording unit, wherein: the voice recording unit is used to perform data extraction processing on the voice input data to obtain voice key data, and generate an electronic survey record form based on the voice key data; the image recording unit is used to perform data extraction processing on the image input data to obtain image key data, and generate a species survey list based on the image key data; wherein the data source of the animal and plant survey data includes the voice key data extracted by the voice recording unit and the image key data extracted by the image recording unit.

[0078] Among them, the voice input data is the on-site observation information recorded by the investigators through voice, and the image input data is the image data of wild animals and plants photographed or recorded by the user through the investigation system.

[0079] Among them, the animal and plant survey data include at least one of the following: basic information, sample line information, sample plot information, species information, environmental factors, habitat type, interference factors, image data and remarks information. Specifically, the basic information includes investigators, survey date, and weather. In the embodiment of the present application, the investigators are automatically generated based on the project archive, and the survey time and weather are recorded in real time based on the smart terminal device; the sample line information / sample plot information includes number, geographic coordinates, small place names, habitat type, sample line length / sample plot area. In the embodiment of the present application, the geographic coordinates and sample line length / sample plot area are recorded in real time based on the GPS positioning function of the smart terminal device, and the number, small place name, and habitat type can be input manually or by voice; the species information includes species name, species quantity, individual quantity, gender, age, height, coverage, and breast diameter. In the embodiment of the present application, the species name, gender, age, height, coverage, and breast diameter can be input manually or by voice. The system can automatically generate species quantity and individual data based on the above-mentioned filled-in data, and automatically record them; the environmental factor data records terrain, altitude, slope, slope position, slope Direction, distance from water source, and canopy density information. In an embodiment of the present application, altitude, slope, and slope direction can be measured in real time and automatically recorded by the intelligent terminal device, and terrain, slope position, distance from water source, and canopy density information can be input manually or by voice and automatically recorded; habitat types include evergreen broad-leaved forests, mixed coniferous and broad-leaved forests, coniferous forests, bamboo forests, shrubs and grasses, meadows, swamp wetlands, farmlands, orchards, settlements, roads, and inland water bodies (mountain streams, streams, rivers, reservoirs, and ponds), which can be selected through the system database or entered by voice; interference factors include interference type and interference intensity, which can be selected through the system database or entered by voice; image data can be taken species photos, habitat photos, and work photos to record animal and plant species and the surrounding conditions of the survey points, and stored in the form of image data on the intelligent terminal device; the remarks information mainly records the survival status of the surveyed species, the source of the survey data, and other information that needs to be noted.

[0080] Among them, the voice recording unit can record all-factor information, and the image recording unit can record species information and image data; for voice key data, the key information recorded may include sample line information, sample site information, species information, environmental factors, habitat types and interference factors; for image key data, the key information recorded may include species information and image data.

[0081] As for the species survey list, it is one of the professional results generated on the basis of the electronic survey record form generated after completing the phased or all survey work, and the electronic survey record form is a survey process record material.

[0082] Among them, in addition to the voice recording unit and the image recording unit, the data collection module also includes a manual compound unit and a data transmission unit. Specifically, the voice recording unit can automatically capture the information of animals and plants observed by the investigators on the spot, such as species name, population size, vegetation type, habitat factors, sample line / sample plot information, etc., and extract key information to automatically generate an electronic survey record form; the image recording unit can be linked with the built-in recognition unit to automatically extract species information from photos and videos, and automatically generate a species survey list; the manual compound unit is used for professional investigators to check and proofread the data automatically collected and generated by the survey system; the data transmission unit can upload and share the survey data in real time.

[0083] In the specific implementation, the specific implementation process of the plant and animal identification function in the image recording unit is: the user takes a picture of the plant, and the plant and animal resource survey APP uses a deep learning model (such as a convolutional neural network) to identify and obtain key information of the image. The deep learning model supports the identification of multiple plant and animal species, and the species model is continuously optimized during the identification process. Specifically, using transfer learning technology, using plant and animal identification data sets (such as PlantNet, iNaturalist) to train the deep learning model, based on PyTorch equipped with the FasterRCNN model to build a plant and animal identification service, the identification interface is called on the mobile terminal to obtain the species information of the taken picture.

[0084] In the specific implementation, the mobile terminal provides a user-friendly data entry interface, supporting users to manually input basic information of animals and plants, such as species, quantity, location, etc., among which the location record uses GPS positioning to automatically record the sampling location, such as calling the map API (Application Programming Interface) to obtain the latitude, longitude and elevation information of the current device; it also supports quick voice input, using voice recognition semantic analysis and other technologies to convert recordings into text, and extract corresponding information into various fields of the data table. Specifically, the voice recognition interface is called to convert the recording into text, and then the recognized text information is semantically corrected through the semantic correction model, and then information is extracted according to the preset fields of the form to obtain key voice information.

[0085] It should be noted that for the image recognition model, speech-to-text model and semantic correction model / text correction model, those skilled in the art can select appropriate models in the relevant technology according to actual conditions, and the embodiments of the present application do not limit this.

[0086] In the specific implementation, Figure 2 As shown, Figure 2This is an example of a transect survey, where 200 represents a mobile terminal, 201 represents a map display interface, 202 represents a plant survey button, 203 represents an animal survey button, 204 represents the start time|survey duration, 205 represents a start survey button (buttons for starting and ending surveys), and 201 is used to display map information of the current survey area. Before the survey begins, open the plant and animal resources survey system APP, create a new project file in the project management unit, cache or directly download the remote sensing image data of the survey area according to the established survey scope, and the remote sensing image data obtained by the geographic location information module is an online image map of a third-party map software.

[0087] The process of extracting the image key data from the image input data by the image recording unit (taking animal survey as an example) is as follows: First, the user clicks Figure 2 The Animal Survey button 203 in the navigation bar jumps to the animal information entry interface. Figure 3 , Figure 3 is a schematic diagram of an interface for entering animal resource data provided in an embodiment of the present application, such as Figure 3 In the animal information input interface shown in the figure, 301 represents the intelligent identification button for animals and plants, 302 represents the recording identification button, and 303 represents the button for taking photos or shooting videos (it can also be a button for selecting image data in the database). Figure 2 Click the Animal Survey button 203 in the navigation bar to jump to the animal information entry interface ( Figure 3 ) and click Figure 3 Click the AI ​​recognition button 301 to jump to the AI ​​recognition interface. Figure 4 , Figure 4 is a schematic diagram of an image recognition interface provided by an embodiment of the present application, such as Figure 4 As shown, Figure 4 is an AI recognition interface, 401 represents a start recognition button, 402 represents a display interface of a picture to be recognized, 403 represents a target recognition object (such as an individual animal) in the picture to be recognized, Figure 4 In the AI ​​recognition interface, the AI ​​recognition function can be called to identify animals (taking animals as an example) to obtain species information, and then the species information obtained by animal recognition can be automatically filled in Figure 3 The species name field in .

[0088] The process of extracting the voice input data by the voice recording unit to obtain the voice key data (taking animal survey as an example) is as follows: Figure 2 Click the Animal Survey button 203 in the navigation bar to jump to the animal information entry interface ( Figure 3 ) and click Figure 3Click the recording recognition button 302 to jump to the voice recognition interface. Figure 5 , Figure 5 is a schematic diagram of a speech recognition interface provided by an embodiment of the present application; Figure 5 As shown, 501 is a start recording button, 502 is a voice AI recognition result, and the voice AI recognition result 502 includes two forms, one is a textual voice recognition result 503, and the other is a table voice recognition result 504. Among them, the table voice recognition result 504 can also be understood as a further extraction and summary of the textual voice recognition result 503. Specifically, when clicking Figure 3 The recording recognition button 302 can jump to the voice recognition interface ( Figure 5 ), click the start recording button 501 to record the voice, and after the voice recording is completed, call the voice recognition function to automatically convert the voice into text, extract key information and automatically fill in the information to Figure 3 The corresponding fields in . Among them, the key voice data obtained by extracting the voice input data through the voice recording unit may include data such as the investigator, the survey event, the species name, the number of individuals, the type, the age, the gender, and the habitat.

[0089] It can be understood that the data source of the animal and plant survey data can be the voice key data extracted by the voice recording unit, the image key data extracted by the image recording unit, or the data filled in manually. In the specific implementation, these recording forms can exist at the same time or individually. For example, only the voice recording unit can be used to extract data to obtain the animal and plant survey data, or the voice recording unit and the image recording unit can be combined to extract data to obtain the animal and plant survey data.

[0090] The embodiments of the present application use mobile terminal devices to automatically generate field survey plans and forms according to different survey needs and methods. Specifically, investigators can enter data manually, by voice, by image, etc., and automatically generate electronic data reports, which greatly improves the efficiency of field data recording; and, through the real-time data transmission function, investigators can retrieve and verify data at any time, which greatly improves the timeliness and sharing efficiency of data.

[0091] In some embodiments, the data management module includes an identification unit and a collation and analysis unit, wherein: the identification unit is used to classify and identify the animal and plant survey data to obtain species classification results; the collation and analysis unit is used to perform statistical analysis on the species classification results according to the species diversity index to obtain statistical analysis results, and generate an animal and plant resource survey report based on the statistical analysis results.

[0092] Among them, the data management module mainly includes the identification unit and the collation and analysis unit. In addition, the data management module also includes the import and export unit and the project management unit. Specifically, the identification unit is used to automatically classify and identify the species captured in photos and videos; the collation and analysis unit is used for data statistical analysis such as species diversity index calculation and species distribution map drawing; the import and export unit is used to import basic data and export survey result data such as statistical analysis charts, electronic survey record sheets, and species lists; the project management unit is used to file, store, and archive project survey data.

[0093] In the specific implementation, the animal and plant survey data recorded by the above-mentioned data acquisition module are uniformly organized and analyzed through the data management module to generate survey record sheets based on survey tasks and survey contents, species diversity index analysis charts, species distribution heat maps, survey points and survey trajectory vector files, and the survey results are extracted through the data import and export unit. Finally, the survey data is stored and archived by the project management.

[0094] Specifically, the Margalef index (D Ma =(S-1) / lnN) to analyze species richness and Simpson index Analyze species dominance using the Shannon-Wiener index Analyze species diversity and use the Pielou index (J SW =H ′ / lnS) to analyze species uniformity, and analyze the distribution of plants and animals through the aggregation layer of the Geographic Information System (GIS), and provide visual data analysis results. In addition, the monthly, quarterly and annual changes of survey data are analyzed using time series analysis, and the survey data are statistically analyzed through cluster analysis algorithms to reveal the relationship between the dynamic changes of plant and animal populations and environmental factors. Among them, the visualization library can use D3.js or Chart.js front-end visualization libraries to display data analysis results.

[0095] For data storage, there are two data storage methods based on the network conditions in the survey area. Specifically, when there is no network, the survey data is written into the Flash memory in real time to prevent data loss caused by accidental exit of the mobile terminal or the plant and animal resources survey APP; when there is a network, the input survey data is encrypted in real time and uploaded to the cloud for backup to ensure data storage security.

[0096] For data archiving, survey data is automatically synchronized to the cloud database in a network environment, and becomes static data after manual review, thereby improving data retrieval efficiency and usage efficiency.

[0097] The animal and plant resources survey system provided in the present application is applied to a mobile terminal, and a graphical user interface is provided through the mobile terminal. The animal and plant resources survey system includes a geographic location information module, a data acquisition module and a data management module, wherein: the geographic location information module is used to obtain remote sensing image data of the animal and plant survey area and the current survey location information corresponding to the remote sensing image data, and display the current survey location information on the graphical user interface; wherein the current survey location information includes at least one of the following: survey points, survey trajectories and the current location of the investigators; the data acquisition module is used to collect animal and plant survey data within the animal and plant survey area according to the current survey location information; the data management module is used to perform statistical analysis on the animal and plant survey data to obtain statistical analysis results, and generate an animal and plant resource survey report based on the statistical analysis results. The graphical user interface provided by the mobile terminal device in the embodiment of the present application enables investigators to enter, query and analyze data anytime and anywhere, and can automatically generate animal and plant resource survey reports according to different survey needs and methods, which greatly improves the flexibility of the survey and the efficiency of data collection, and also reduces the errors and omissions that may occur in traditional recording methods. In addition, the data management module can quickly process a large amount of complex survey data to generate statistical analysis results through efficient statistical analysis functions, which not only simplifies the process of data sorting and analysis, but also can quickly generate scientific and accurate animal and plant resource survey reports, providing strong support for resource protection and management. In addition, in addition to manual data entry, investigators can also enter data in the form of voice and images, and then automatically generate electronic data reports, which greatly improves the recording efficiency of animal and plant data.

[0098] See also Figure 6 , Figure 6 is an optional step flow chart of a method for investigating animal and plant resources provided in an embodiment of the present application. Figure 6 The method in is applied as mentioned above Figure 1 The plant and animal resources survey system comprises a geographic location information module, a data collection module and a data management module. Figure 6 The method may include but is not limited to steps S601 to S603.

[0099] Step S601, obtaining remote sensing image data of an animal and plant survey area and current survey location information corresponding to the remote sensing image data through the geographic location information module, and displaying the current survey location information on the graphical user interface; wherein the current survey location information includes at least one of the following: survey point, survey track, and current location of the investigator;

[0100] In some embodiments, the geographic location information module includes an acquisition unit and a switching unit. The remote sensing image data of the animal and plant survey area and the current survey location information corresponding to the remote sensing image data are acquired through the geographic location information module, including: acquiring the remote sensing image data of the animal and plant survey area through the acquisition unit; selecting the current remote sensing image data from the remote sensing image data through the switching unit; and acquiring the current survey location information corresponding to the current remote sensing image data by calling the device positioning function through the acquisition unit.

[0101] In the specific implementation, the animal and plant resources survey system can be understood as an application program (APP). The system structure of the animal and plant resources survey system (APP) includes: geographic location information module, data acquisition module and data management module; among them, the geographic location information module is used to obtain remote sensing image data of the survey area in real time, and display the current location map on the graphical user page; the data acquisition module is used to record the data information of the survey task; the data management module is used to organize and analyze the data information recorded by the data acquisition module to form a standard project data file.

[0102] Among them, the geographic location information module includes the functions of location acquisition, data switching and location recording. Specifically, ① the location acquisition function can use the GPS positioning function of the mobile terminal to obtain the location information of the survey point in real time; ② the data switching function can select remote sensing image data from different sources and with different precision according to the survey requirements; ③ the location recording function is a function that can display the survey site, survey trajectory, and the real-time location of the investigator on the map and record it. Specifically, the geographic location information module includes an acquisition unit, a switching unit and a location display unit, wherein the acquisition unit is used to acquire remote sensing image data; the switching unit is used to switch remote sensing image data from different sources and with different precision according to the survey requirements; the location display unit is used to display the survey point, survey trajectory and the real-time location of the investigator in real time, and can also record the point and survey trajectory data according to the survey requirements.

[0103] Step S602, collecting the plant and animal survey data in the plant and animal survey area according to the current survey location information by the data collection module;

[0104] In some embodiments, the data acquisition module includes a voice recording unit and an image recording unit, and step S602 may include: obtaining voice input data corresponding to the current survey location information; performing data extraction processing on the voice input data through the voice recording unit to obtain voice key data, and recording the voice key data in the animal and plant survey data within the animal and plant survey area; or, obtaining image input data corresponding to the current survey location information; performing data extraction processing on the image input data through the image recording unit to obtain image key data, and recording the image key data in the animal and plant survey data within the animal and plant survey area.

[0105] In some specific embodiments, data extraction processing is performed on voice input data through a voice recording unit to obtain voice key data, including: calling a voice recognition function through the voice recording unit to convert the voice input data into text input data; in the voice recording unit, correcting the text input data through a text correction model to obtain text data to be extracted; in the voice recording unit, data extraction processing is performed on the text data to be extracted according to preset form field information to obtain voice key data.

[0106] In some specific embodiments, the image recording unit performs data extraction processing on the image input data to obtain the image key data, which may include: within the image recording unit, the image input data is identified and processed by calling the animal and plant identification function constructed by the deep learning model to extract the image key data from the image input data.

[0107] Among them, in addition to the voice recording unit and the image recording unit, the data collection module also includes a manual compound unit and a data transmission unit. Specifically, the voice recording unit can automatically capture the information of animals and plants observed by the investigators on the spot, such as species name, population size, vegetation type, habitat factors, sample line / sample plot information, etc., and extract key information to automatically generate an electronic survey record form; the image recording unit can be linked with the built-in recognition unit to automatically extract species information from photos and videos, and automatically generate a species survey list; the manual compound unit is used for professional investigators to check and proofread the data automatically collected and generated by the survey system; the data transmission unit can upload and share the survey data in real time.

[0108] In the specific implementation, the specific implementation process of the plant and animal identification function in the image recording unit is: the user takes a picture of the plant, and the plant and animal resource survey APP uses a deep learning model (such as a convolutional neural network) to identify and obtain key information of the image. The deep learning model supports the identification of multiple plant and animal species, and the species model is continuously optimized during the identification process. Specifically, using transfer learning technology, using plant and animal identification data sets (such as PlantNet, iNaturalist) to train the deep learning model, based on PyTorch equipped with the FasterRCNN model to build a plant and animal identification service, the identification interface is called on the mobile terminal to obtain the species information of the taken picture.

[0109] In the specific implementation, the mobile terminal provides a user-friendly data entry interface, supporting users to manually input basic information of animals and plants, such as species, quantity, location, etc., among which the location record uses GPS positioning to automatically record the sampling location, such as calling the map API (Application Programming Interface) to obtain the latitude, longitude and elevation information of the current device; it also supports quick voice input, using voice recognition semantic analysis and other technologies to convert recordings into text, and extract corresponding information into various fields of the data table. Specifically, the voice recognition interface is called to convert the recording into text, and then the recognized text information is semantically corrected through the semantic correction model, and then information is extracted according to the preset fields of the form to obtain key voice information.

[0110] It should be noted that for the image recognition model, speech-to-text model and semantic correction model / text correction model, those skilled in the art can select appropriate models in the relevant technology according to actual conditions, and the embodiments of the present application do not limit this.

[0111] It can be understood that the data source of the animal and plant survey data can be the voice key data extracted by the voice recording unit, the image key data extracted by the image recording unit, or the data filled in manually. In the specific implementation, these recording forms can exist at the same time or individually. For example, only the voice recording unit can be used to extract data to obtain the animal and plant survey data, or the voice recording unit and the image recording unit can be combined to extract data to obtain the animal and plant survey data.

[0112] The embodiments of the present application use mobile terminal devices to automatically generate field survey plans and forms according to different survey needs and methods. Specifically, investigators can enter data manually, by voice, by image, etc., and automatically generate electronic data reports, which greatly improves the efficiency of field data recording; and, through the real-time data transmission function, investigators can retrieve and verify data at any time, which greatly improves the timeliness and sharing efficiency of data.

[0113] Step S603, statistical analysis is performed on the animal and plant survey data through the data management module to obtain statistical analysis results, and an animal and plant resource survey report is generated according to the statistical analysis results.

[0114] In some embodiments, the data management module includes an identification unit and a collation and analysis unit. Step S603 may include: classifying and identifying the animal and plant survey data through the identification unit to obtain species classification results; performing statistical analysis on the species classification results according to the species diversity index through the collation and analysis unit to obtain the statistical analysis results, and generating an animal and plant resource survey report based on the statistical analysis results.

[0115] Among them, the data management module mainly includes the identification unit and the collation and analysis unit. In addition, the data management module also includes the import and export unit and the project management unit. Specifically, the identification unit is used to automatically classify and identify the species captured in photos and videos; the collation and analysis unit is used for data statistical analysis such as species diversity index calculation and species distribution map drawing; the import and export unit is used to import basic data and export survey result data such as statistical analysis charts, electronic survey record sheets, and species lists; the project management unit is used to file, store, and archive project survey data.

[0116] In the specific implementation, the animal and plant survey data recorded by the above-mentioned data acquisition module are uniformly organized and analyzed through the data management module to generate survey record sheets based on survey tasks and survey contents, species diversity index analysis charts, species distribution heat maps, survey points and survey trajectory vector files, and the survey results are extracted through the data import and export unit. Finally, the survey data is stored and archived by the project management.

[0117] Specifically, the animal and plant survey data are first classified and identified through the identification unit to obtain the species classification results; then the species classification results are statistically analyzed by the sorting and analysis unit according to the species diversity index, and the distribution of animals and plants is analyzed through the aggregation layer of the geographic information system, and visual data analysis results are provided. In addition, the monthly, quarterly and annual changes of the survey data are analyzed using time series analysis, and the survey data are statistically analyzed through the cluster analysis algorithm to reveal the relationship between the dynamic changes of animal and plant populations and environmental factors. For data storage, there are two data storage methods based on the network conditions of the survey area. Specifically, one is that when there is no network, the survey data is written into the Flash memory in real time to prevent data loss caused by accidental exit of the mobile terminal or the animal and plant resources survey APP; the other is that when there is a network, the input survey data is encrypted and uploaded to the cloud for backup in real time to ensure data storage security. For data archiving, the survey data is automatically synchronized to the cloud database in a network environment, and static data is formed after manual review, thereby improving the retrieval efficiency and use efficiency of the data.

[0118] In the steps S601 to S603 shown in the embodiment of the present application, the remote sensing image data of the animal and plant survey area and the current survey location information corresponding to the remote sensing image data are obtained through the geographic location information module, and the current survey location information is displayed on the graphical user interface; wherein the current survey location information includes at least one of the following: survey point, survey trajectory and current location of the investigator; the animal and plant survey data in the animal and plant survey area are collected according to the current survey location information through the data acquisition module; the animal and plant survey data are statistically analyzed through the data management module to obtain statistical analysis results, and an animal and plant resource survey report is generated according to the statistical analysis results. The graphical user interface provided by the mobile terminal device in the embodiment of the present application enables investigators to enter, query and analyze data anytime and anywhere, and can automatically generate an animal and plant resource survey report according to different survey requirements and methods, which greatly improves the flexibility of the survey and the efficiency of data collection, and also reduces the errors and omissions that may occur in the traditional recording method. In addition, the data management module can quickly process a large amount of complex survey data to generate statistical analysis results through efficient statistical analysis functions, which not only simplifies the process of data sorting and analysis, but also can quickly generate scientific and accurate animal and plant resource survey reports, providing strong support for resource protection and management. In addition, in addition to manual data entry, investigators can also enter data through voice and image, which can then automatically generate electronic data reports, greatly improving the efficiency of recording animal and plant data.

[0119] It should be pointed out that this embodiment only briefly illustrates the overall process of the animal and plant resources survey method. The detailed description of each step can refer to the relevant content in the aforementioned animal and plant resources survey embodiment, which will not be repeated here. It can be understood that the present invention is not limited to this.

[0120] In order to explain the principle of the technical solution of the present invention in detail, the overall process of the present invention is described below in combination with some specific embodiments. It is easy to understand that the following is an explanation of the technical principle of the present invention and cannot be regarded as a limitation of the present invention.

[0121] In the specific implementation, the investigator needs to install the plant and animal resources survey system APP provided in the embodiment of the present application on the smart terminal device (such as a smart phone or tablet computer), and perform necessary configurations, such as setting user information, establishing a survey project file, and importing survey area vector data; before the survey begins, use the smart terminal device (such as a smart phone or tablet computer) to open the plant and animal resources survey system APP, first create a new project file in the project management unit, and cache or directly download the remote sensing image data of the survey area according to the established survey scope; the remote sensing image data obtained by the geographic location information module in the embodiment of the present application is an online image map of a third-party map software. Please refer to Figure 7 , Figure 7 is a flow chart of an animal and plant resource survey method based on an animal and plant resource survey system provided in an embodiment of the present application, such as Figure 7 As shown, the specific workflow of the Animal and Plant Resources Survey System APP is as follows: Steps 1 to 7:

[0122] Step 1, user registration and login:

[0123] 1) Account creation: Users need to provide basic information (name, mobile phone number, email address) to register.

[0124] 2) Identity verification: Verify user identity through verification code or email.

[0125] 3) Login: Registered users enter their username and password to log in to the system.

[0126] Step 2, Project Settings:

[0127] 1) Create a survey project: Users can create a new resource survey project, including basic information such as project name, location, and survey time.

[0128] 2) Select the survey area: The user selects the target survey area through the map or manually enters it; the user determines the survey area by importing the protected area vector range file.

[0129] Step 3, data collection: The user selects the data collection method (① information form entry method and ② voice recording method) according to the on-site environment.

[0130] ① Information form entry method:

[0131] In the specific implementation, the data that needs to be entered in the information form entry method includes information such as animal and plant species, quantity records, environmental factors, and location marks. Specifically, the animal and plant species are added by selecting the target species through the library or search function. Specifically, the mobile terminal is used to take photos of animals and plants, and the AI ​​(Artificial Intelligence) recognition interface is directly called to determine the species name; the quantity record is to record the number and distribution of each animal or plant; the environmental factors are to fill in the relevant environmental information (weather, terrain, vegetation coverage, etc.); the location mark is to automatically record the longitude and latitude of the sampling by calling the GPS positioning function of the device.

[0132] ② Voice recording method:

[0133] In the specific implementation, the process of the voice recording method is: first, press and hold the recording button to clearly express data such as species information and environmental factors; then call the voice-to-text API to convert the voice into text information; then perform spelling correction on the recognized text information based on the text correction model, and then use the animal and plant resources survey system APP to extract the corresponding content according to the preset fields of the form; optionally, the information automatically extracted by voice can be displayed in the form of a form, and the erroneous data items can be manually modified and rewritten into the database.

[0134] Step 4, data review and management:

[0135] 1) Preliminary review: Users can review the entered data and make modifications or supplement information.

[0136] 2) Submit for review: After completing data entry, users can submit data for review.

[0137] 3) Data management: System backend administrators review, confirm and record the status of submitted data.

[0138] Step 5, data analysis:

[0139] 1) Data statistics: The system automatically generates data statistical analysis reports, including species lists, population distribution, quantity changes, etc.

[0140] 2) GIS mapping: The collected data are analyzed using Geographic Information System (GIS) to generate distribution maps of plant and animal resources.

[0141] 3) Trend analysis: Enable long-term data comparison and analysis to help study resource change trends.

[0142] Step 6, report generation:

[0143] 1) Generate report: Users can generate detailed resource survey reports based on survey results.

[0144] 2) Export function: Supports exporting reports to PDF or Excel format for easy sharing and archiving.

[0145] Step 7, data archiving and sharing:

[0146] 1) Data archiving: Organize and display survey data in the form of projects for easy reference.

[0147] 2) Data sharing: Authorized users can export or publish archived survey data to public databases or platforms for public query and use.

[0148] It should be pointed out that this embodiment only briefly illustrates the general process of the animal and plant resources survey method. The detailed description of each step can refer to the relevant content in the aforementioned embodiment and will not be repeated here. It can be understood that the present invention is not limited to this.

[0149] The embodiment of the present application provides a plant and animal resource survey system and method. The plant and animal resource survey system is applied to a mobile terminal, and a graphical user interface is provided through the mobile terminal. The plant and animal resource survey system includes a geographic location information module, a data acquisition module, and a data management module, wherein: the geographic location information module is used to obtain remote sensing image data of a plant and animal survey area and current survey location information corresponding to the remote sensing image data, and display the current survey location information on the graphical user interface; wherein the current survey location information includes at least one of the following: survey points, survey trajectories, and current locations of investigators; the data acquisition module is used to collect plant and animal survey data within the plant and animal survey area according to the current survey location information; the data management module is used to perform statistical analysis on the plant and animal survey data to obtain statistical analysis results, and generate a plant and animal resource survey report according to the statistical analysis results. The graphical user interface provided by the mobile terminal device in the embodiment of the present application enables investigators to enter, query and analyze data anytime and anywhere, and can automatically generate animal and plant resource survey reports according to different survey needs and methods, which greatly improves the flexibility of the survey and the efficiency of data collection, and also reduces the errors and omissions that may occur in traditional recording methods. In addition, the data management module can quickly process a large amount of complex survey data to generate statistical analysis results through efficient statistical analysis functions, which not only simplifies the process of data sorting and analysis, but also can quickly generate scientific and accurate animal and plant resource survey reports, providing strong support for resource protection and management. In addition, in addition to manual data entry, investigators can also enter data in the form of voice and images, and then automatically generate electronic data reports, which greatly improves the recording efficiency of animal and plant data.

[0150] In summary, the animal and plant resources survey system and method provided in the embodiments of the present application aims to simplify the workflow of traditional animal and plant field surveys through digital means, thereby improving the survey efficiency and the security and convenience of data storage. Specifically, the application embodiment automatically generates field survey plans and forms through mobile terminal devices according to different survey needs and methods. Specifically, investigators can enter data manually, by voice, by image, etc., and automatically generate electronic data reports, which greatly improves the efficiency of field data recording; and, through the real-time data transmission function, investigators can retrieve and verify data at any time, that is, it integrates functions such as survey form recording, GPS positioning, trajectory generation, and automatic data uploading, and expands the function of intelligent voice input of survey information, which simplifies the survey tools and survey processes to a certain extent, and greatly improves the timeliness and sharing efficiency of data.

[0151] The embodiment of the present application also provides an electronic device, the electronic device includes a memory and a processor, the memory stores a computer program, and the processor implements the above-mentioned animal and plant resource survey method when executing the computer program. The electronic device can be any smart terminal including a tablet computer, a car computer, etc.

[0152] It can be understood that the contents of the above method embodiments are all applicable to the present device embodiments, the functions specifically implemented by the present device embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0153] See also Figure 8 , Figure 8 The hardware structure of an electronic device of another embodiment is illustrated, and the electronic device includes:

[0154] The processor 801 may be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit (Application Specific Integrated Circuit, ASIC for short), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of the present application;

[0155] The memory 802 can be implemented in the form of a read-only memory (ROM), a static storage device, a dynamic storage device, or a random access memory (RAM). The memory 802 can store an operating system and other application programs. When the technical solution provided in the embodiment of this specification is implemented by software or firmware, the relevant program code is stored in the memory 802, and the processor 801 calls and executes the animal and plant resources survey method of the embodiment of this application;

[0156] Input / output interface 803, used to implement information input and output;

[0157] The communication interface 804 is used to realize the communication interaction between the device and other devices. The communication can be realized through a wired manner (such as USB, network cable, etc.) or a wireless manner (such as mobile network, WIFI, Bluetooth, etc.);

[0158] A bus 805 that transmits information between the various components of the device (e.g., the processor 801, the memory 802, the input / output interface 803, and the communication interface 804);

[0159] The processor 801 , the memory 802 , the input / output interface 803 and the communication interface 804 are connected to each other in communication within the device via a bus 805 .

[0160] An embodiment of the present application also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the above-mentioned animal and plant resources survey method is implemented.

[0161] It can be understood that the contents of the above method embodiments are all applicable to the present storage medium embodiments, the functions specifically implemented by the present storage medium embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0162] The memory, as a non-transient computer-readable storage medium, can be used to store non-transient software programs and non-transient computer executable programs. In addition, the memory may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some embodiments, the memory may optionally include a memory remotely disposed relative to the processor, and these remote memories may be connected to the processor via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0163] The embodiment of the present application provides a plant and animal resource survey system and method. The plant and animal resource survey system is applied to a mobile terminal, and a graphical user interface is provided through the mobile terminal. The plant and animal resource survey system includes a geographic location information module, a data acquisition module, and a data management module, wherein: the geographic location information module is used to obtain remote sensing image data of a plant and animal survey area and current survey location information corresponding to the remote sensing image data, and display the current survey location information on the graphical user interface; wherein the current survey location information includes at least one of the following: survey points, survey trajectories, and current locations of investigators; the data acquisition module is used to collect plant and animal survey data within the plant and animal survey area according to the current survey location information; the data management module is used to perform statistical analysis on the plant and animal survey data to obtain statistical analysis results, and generate a plant and animal resource survey report according to the statistical analysis results. The graphical user interface provided by the mobile terminal device in the embodiment of the present application allows investigators to enter, query and analyze data anytime and anywhere, and can automatically generate animal and plant resource survey reports according to different survey needs and methods, which greatly improves the flexibility of the survey and the efficiency of data collection, while also reducing the errors and omissions that may occur in traditional recording methods. In addition, the data management module can quickly process a large amount of complex survey data to generate statistical analysis results through efficient statistical analysis functions, which not only simplifies the process of data collation and analysis, but also can quickly generate scientific and accurate animal and plant resource survey reports, providing strong support for resource protection and management.

[0164] The embodiments described in the embodiments of the present application are intended to more clearly illustrate the technical solutions of the embodiments of the present application and do not constitute a limitation on the technical solutions provided in the embodiments of the present application. Those skilled in the art will appreciate that with the evolution of technology and the emergence of new application scenarios, the technical solutions provided in the embodiments of the present application are also applicable to similar technical problems.

[0165] Those skilled in the art will appreciate that the technical solutions shown in the figures do not constitute a limitation on the embodiments of the present application, and may include more or fewer steps than shown in the figures, or a combination of certain steps, or different steps.

[0166] The device embodiments described above are merely illustrative, and the units described as separate components may or may not be physically separated, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0167] Those skilled in the art will appreciate that all or some of the steps in the methods disclosed above, and the functional modules / units in the systems and devices may be implemented as software, firmware, hardware, or a suitable combination thereof.

[0168] The terms "first", "second", "third", "fourth", etc. (if any) in the specification of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0169] It should be understood that in the present application, "at least one (item)" means one or more, and "plurality" means two or more. "And / or" is used to describe the association relationship of associated objects, indicating that three relationships may exist. For example, "A and / or B" can mean: only A exists, only B exists, and A and B exist at the same time, where A and B can be singular or plural. The character " / " generally indicates that the objects associated before and after are in an "or" relationship. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, c can be single or multiple.

[0170] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the above units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0171] The units described above as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0172] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0173] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes multiple instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods of various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk, and other media that can store programs.

[0174] The preferred embodiments of the present invention are described above with reference to the accompanying drawings, but the scope of the rights of the present invention is not limited thereto. Any modification, equivalent substitution and improvement made by a person skilled in the art without departing from the scope and essence of the present invention should be within the scope of the rights of the present invention.

Claims

1. A plant and animal resource survey system, applied to a mobile terminal, providing a graphical user interface through the mobile terminal, characterized in that: The animal and plant resources survey system includes a geographic location information module, a data collection module, and a data management module, among which: The geographic location information module is used to obtain remote sensing image data of the animal and plant survey area and current survey location information corresponding to the remote sensing image data, and display the current survey location information on the graphical user interface; wherein the current survey location information includes at least one of the following: survey point, survey track and current location of the investigator; The data collection module is used to collect the animal and plant survey data in the animal and plant survey area according to the current survey location information; The data management module is used to perform statistical analysis on the animal and plant survey data to obtain statistical analysis results, and to generate an animal and plant resource survey report based on the statistical analysis results.

2. The animal and plant resources survey system according to claim 1, characterized in that: The geographic location information module includes an acquisition unit, a switching unit and a location display unit, wherein: The acquisition unit is used to acquire the remote sensing image data of the animal and plant survey area, and is also used to acquire the current survey location information corresponding to the current remote sensing image data according to the current remote sensing image data selected by the switching unit; wherein the remote sensing image data includes remote sensing image data from different data sources and remote sensing image data with different data precision; The switching unit is used to switch remote sensing image data from different data sources according to the animal and plant survey task, and is also used to switch remote sensing image data with different data precision according to the animal and plant survey task; The position display unit is used to display the current survey position information corresponding to the current remote sensing image data on the graphical user interface according to the current remote sensing image data selected by the switching unit.

3. The animal and plant resources survey system according to claim 1, characterized in that: The data acquisition module includes a voice recording unit and an image recording unit, wherein: The voice recording unit is used to perform data extraction processing on the voice input data to obtain voice key data, and generate an electronic survey record form according to the voice key data; The image recording unit is used to perform data extraction processing on the image input data to obtain image key data, and generate a species survey list based on the image key data; The data source of the plant and animal survey data includes the key voice data extracted by the voice recording unit and the key image data extracted by the image recording unit.

4. The animal and plant resources survey system according to claim 1, characterized in that: The data management module includes an identification unit and a collation and analysis unit, wherein: The identification unit is used to classify and identify the animal and plant survey data to obtain species classification results; The sorting and analyzing unit is used to perform statistical analysis on the species classification results according to the species diversity index to obtain the statistical analysis results, and generate the animal and plant resources survey report based on the statistical analysis results.

5. A method for investigating animal and plant resources, applied to a mobile terminal, providing a graphical user interface through the mobile terminal, characterized in that: Applied to the animal and plant resources survey system according to any one of claims 1 to 4, the animal and plant resources survey system comprises a geographic location information module, a data acquisition module and a data management module, and the method comprises the following steps: Acquire remote sensing image data of the plant and animal survey area and current survey location information corresponding to the remote sensing image data through the geographic location information module, and display the current survey location information on the graphical user interface; wherein the current survey location information includes at least one of the following: survey point, survey track, and current location of the investigator; Collecting the plant and animal survey data in the plant and animal survey area according to the current survey location information by the data collection module; The data management module performs statistical analysis on the animal and plant survey data to obtain statistical analysis results, and generates an animal and plant resource survey report based on the statistical analysis results.

6. The method for investigating animal and plant resources according to claim 5, characterized in that: The geographic location information module includes an acquisition unit and a switching unit. The acquisition of remote sensing image data of an animal and plant survey area and current survey location information corresponding to the remote sensing image data through the geographic location information module includes: Acquiring the remote sensing image data of the animal and plant survey area by the acquisition unit; Selecting current remote sensing image data from the remote sensing image data by the switching unit; The current survey position information corresponding to the current remote sensing image data is acquired by calling the device positioning function through the acquisition unit.

7. The method for investigating animal and plant resources according to claim 5, characterized in that: The data acquisition module includes a voice recording unit and an image recording unit. The data acquisition module collects the plant and animal survey data in the plant and animal survey area according to the current survey location information, including: Acquiring voice input data corresponding to the current survey location information; Performing data extraction processing on the voice input data by the voice recording unit to obtain voice key data, and recording the voice key data in the animal and plant survey data in the animal and plant survey area; or, Acquire image input data corresponding to the current survey location information; The image recording unit performs data extraction processing on the image input data to obtain image key data, and the image key data is recorded in the animal and plant survey data in the animal and plant survey area.

8. The method for investigating animal and plant resources according to claim 7, characterized in that: The step of performing data extraction processing on the voice input data by the voice recording unit to obtain voice key data includes: Invoking a speech recognition function through the speech recording unit to convert the speech input data into text input data; In the speech recording unit, the text input data is corrected by a text correction model to obtain text data to be extracted; In the voice recording unit, data extraction processing is performed on the text data to be extracted according to preset form field information to obtain the voice key data.

9. The method for investigating animal and plant resources according to claim 7, characterized in that: The step of performing data extraction processing on the image input data by the image recording unit to obtain image key data includes: In the image recording unit, the image input data is identified and processed by calling the animal and plant identification function constructed by the deep learning model, and the image key data in the image input data is extracted.

10. The method for investigating animal and plant resources according to claim 5, characterized in that: The data management module includes an identification unit and a collation and analysis unit. The data management module performs statistical analysis on the animal and plant survey data to obtain statistical analysis results, and generates an animal and plant resource survey report based on the statistical analysis results, including: Classify and identify the animal and plant survey data through the identification unit to obtain species classification results; The sorting and analyzing unit performs statistical analysis on the species classification results according to the species diversity index to obtain the statistical analysis results, and generates the animal and plant resources survey report based on the statistical analysis results.

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