KR101224046B1 - System for reading forest image and fabricating detailed digital forest map using data back-up type - Google Patents

Abstract

The present invention relates to a forest image reading and a precision numerical clinical image construction system using a data backup method, and a method for producing and editing a digital clinical image having a 1: 5,000 scale using color sheet aerial photography. After assigning the attributes of forest / non-forest, arbor / independence, death, clinical, species, age, grade, and small density to the numerical clinical level, the conventional 1: 25,000 scale is periodically backed up by periodically backing the precise clinical level. It is possible to produce a clear and detailed numerical clinical picture than the numerical clinical picture, and to improve the reliability of the numerical clinical picture, and to easily back up the numerical clinical picture, thereby preventing the loss of the digital clinical picture. have.

Description

Forest image reading and accurate numerical clinical image construction system using data backup method {SYSTEM FOR READING FOREST IMAGE AND FABRICATING DETAILED DIGITAL FOREST MAP USING DATA BACK-UP TYPE}

The present invention relates to a forest image reading and numerical clinical image construction system and a method thereof, and more particularly, to create or edit a number of attributes in a precision clinical image having a scale of 1: 5,000, The present invention relates to a forest image reading system using a data backup method that is periodically backed up, and a precise numerical clinical construction system and a method thereof.

The types and shapes of forests vary by region and environment. Recognizing which types of forests exist and in what form is the first step in managing forests. In addition, it provides a useful foundation for activities such as land use planning, environmental management, and conservation of natural resources and ecosystems.

The forest map is a representative forest map that shows which forests are located at which locations. In the past, clinical maps in Korea have been produced based on 1: 15,000 scale aerial photographs taken of national forests. Specifically, the forest image is read by a portable stereoscopic mirror and divided into attributes of species, age class, diametr class, and crown density, and the scale is 1: 25,000 scale using a light projector. The drawings were completed by moving to the topographic map.

As described above, since the conventional clinical diagram is an analog paper clinical diagram produced by hand, it is difficult to manufacture, and even if a correction factor such as a large forest fire, a pest, or a landslide occurs, it cannot be easily reflected. Moreover, the accuracy and efficiency of the clinical map production are inferior because the scale of aerial photographs and the topographic maps are different, and the area calculation work must also rely on manual work using a quadrature (lattice plate) to ensure accuracy and efficiency. Not easy to do In addition, a large amount of aerial photographs or paper clinical maps are not easy to classify, store, search, manage, and utilize.

In addition, there is a demand for a system that can produce a more precise and detailed numerical clinical picture than the 1: 25,000 scale clinical picture that is currently being produced. There is a need for a system that can effectively prevent it.

Accordingly, an object of the present invention is a forest image reading and precision numerical clinical construction system and method using a data backup method that periodically performs a backup of the precision clinical image generated by the process of manufacturing or editing a precision clinical scale having a 1: 5,000 scale To provide.

Another object of the present invention is to make or edit the precision of the clinical picture, and to give the attribute to the precision of the forest, non-forest, planting / non-wood, forest, forestry, clinical properties in addition to the properties of species, life, grade, small density In addition, the present invention provides a forest image reading system using a data backup method for providing a database, and a precise numerical clinical construction system and a method thereof.

It is still another object of the present invention to provide a system and method for reading a forest image using a data backup method and a method for constructing a precise numerical clinical map using a data backup method that can minimize time waste and inconvenience caused by field surveys performed during the manufacturing or editing of a precision clinical chart. To provide.

In order to achieve the above object, a forest image, a digital topographic map, a precision clinical map having a scale of 1: 5,000, and related data are stored, and a plurality of attributes of the precision clinical map are built into a database, and the forest image A storage server for compressing or restoring the data, searching for the forest image of a specific leaf corresponding to the search condition from the storage server according to a search condition including a scale, displaying a forest image searched from the storage server on a screen, and Read the searched forest image to produce the precise clinical degree, or perform the editing function including the clinical boundary editing, intra-clinical boundary editing, clinical combination, clinical segmentation of the pre-prepared precision clinical degree and the precision clinical degree A plurality of client terminals to be stored in the storage server, through the plurality of client terminals The present invention provides a backup server that receives the precision clinical degree stored in the storage server at a specific period, compares and analyzes the previously stored precision clinical degree, and updates and stores the previously stored precision clinical degree according to the comparison analysis result.

In addition, the backup server of the forest image reading and precision numerical clinical image construction system using the data backup method according to the present invention includes a communication unit for communicating with the storage server, a determination unit for determining whether a specific period has arrived, the result of the determination unit According to the specific period, request the first precision clinical degree having a 1: 5,000 scale to the storage server, compare and analyze the first precision clinical value and the second stored precision clinical degree, and according to the comparison analysis result, An analysis unit for updating a precision clinical degree to the first precision clinical image, and a storage unit for storing the second precision clinical degree having a 1: 5,000 scale received from the storage server.

In addition, the analysis unit if the second precision clinical degree is the same as the name of the first precision clinical degree is characterized in that the comparison between the first and the last clinical access date and the second precision clinical road is the same.

In addition, the analysis unit analyzes the presence or absence of a difference to the first and second precision when the final access date is not the same.

The analysis unit may update the second precision clinical degree to the first precision clinical degree if there is a difference between the first and second precision clinical degrees.

In addition, the analysis unit is different from the second precision clinical characteristics of the attributes including forest / non-forest, tree / non-forest, forestry, non-forest, forestry, clinical, species, salary, salary, small density for the first precision clinical It is characterized by the analysis.

In addition, the analysis unit analyzes whether there is a difference between the first and the second precision clinical degree according to a determination result if the final access date is the same and the final access time to the first and second precision clinical road is the same. It is characterized by.

The analysis unit may control to store the first precision clinical degree in the storage unit when the second precision clinical degree identical to the name of the first precision clinical degree does not exist.

In addition, the storage server of the forest image reading and precision numerical clinical construction system using the data backup method according to the present invention is a communication unit for communicating with the backup server and a plurality of client terminals, forest image, digital topographic map, the plurality of client terminals A precision clinical picture having a scale of 1: 5,000 received from the storage unit, a storage unit for storing related data, a DB construction unit for constructing a plurality of attributes of the precision clinical degree in a database in the storage unit, compressing or restoring the forest image The image compression unit may assign the plurality of attributes to the precision clinical images transmitted from the plurality of client terminals and store the plurality of attributes in the storage unit as the first precision clinical image, and transmit the request to the transmission request for the first precision clinical image received from the backup server. The communication unit to extract and transmit the first precision clinical degree according to the backup server It provides for management control.

The management unit may determine whether there is a first precision clinical degree produced and edited between the reception time and the time before a specific period based on the reception time of the transmission request.

The management unit may control the communication unit to extract the first precision clinical degree and transmit the first precision clinical degree to the backup server if the first precision clinical degree exists as a result of the determination.

The management unit may control the communication unit to transmit a signal indicating that the first precision clinical degree does not exist if the first precision clinical degree does not exist as a result of the determination.

In addition, a method of reading a forest image and constructing a precise numerical clinical image using a data backup method according to the present invention may include: determining whether a backup server arrives at a specific cycle; Performing a first precision clinical request with a 5,000 scale, the backup server comparing and analyzing the first precision clinical data with a second precision clinical scale with a 1: 5,000 scale previously stored; And updating and storing the second fine clinical degree with the first precise clinical degree according to the comparative analysis result.

In addition, in the forest image reading and precise numerical clinical image construction method using the data backup method according to the present invention, the storage server stores the forest image, the digital topographic map, and related data, and scales 1: 5,000 scales received from a plurality of client terminals. And assigning a plurality of attributes to the precision clinical image having a first precision clinical degree, and storing the first precision clinical request by the storage server from the backup server, wherein the storage server transmits the first request according to the transmission request. And extracting the precision clinical degree, and transmitting the extracted first precision clinical degree to the backup server.

According to the structure of the present invention, it is possible to easily perform the backup of the precision clinical degree produced or edited than before, by periodically performing the backup of the precision clinical degree generated by the process of manufacturing or editing the precision clinical degree having a 1: 5,000 scale In addition, there is an effect of preventing the loss of precision during or after backup.

In addition, according to the structure of the present invention, when manufacturing or editing the precision of the clinical degree, and when assigning the attribute to the precision, the forest, non-forest, planting / non-wood, forestry, clinical, clinician By constructing a database to add additional attributes, it is possible to produce a clear and detailed numerical clinical image than the conventional 1: 25,000 scale digital clinical image, and to improve the reliability of the numerical clinical image.

In addition, according to the structure of the present invention, by minimizing the time wasted and inconvenience caused by the on-site investigation performed at the time of manufacturing or editing the precision clinical diagram, work efficiency and continuity by linking the numerical clinical production or editing process and field survey There is an effect that can be improved.

1 is a block diagram showing the main configuration of a forest image reading and precise numerical clinical construction system using a data backup method according to an embodiment of the present invention
2 is a block diagram showing a main configuration of the storage server shown in FIG.
3 is a block diagram showing the main configuration of the backup server shown in FIG.
4 is a flowchart illustrating a method of reading a forest image and establishing a precise numerical clinical image using a data backup method according to an exemplary embodiment of the present invention.
5 is a flowchart illustrating a method of reading a forest image and establishing a precise numerical clinical map using a data backup method in a storage server according to an exemplary embodiment of the present invention.
6 is a flowchart illustrating a method of reading a forest image and establishing a precise numerical clinical map using a data backup method in a backup server according to an exemplary embodiment of the present invention.

Hereinafter, with reference to the accompanying drawings will be described in detail an embodiment of the present invention.

In the present invention, the precision clinical picture is a kind of numerical clinical picture, and is used as a term indicating a numerical clinical picture with a more detailed 1: 5,000 scale, compared to a conventional numerical picture with a 1: 25,000 scale.

1 is a block diagram showing the main configuration of the forest image reading and precision numerical clinical construction system using a data backup method according to an embodiment of the present invention. FIG. 2 is a block diagram illustrating a main configuration of the storage server shown in FIG. 1. 3 is a block diagram showing the main configuration of the backup server shown in FIG.

1 to 3, a forest image reading and precision numerical clinical construction system (100, hereinafter referred to as a system) using a data backup method according to the present invention is a plurality of client terminals (10, hereinafter, referred to as a client terminal) The storage server 20 and the backup server 30 are configured.

The client terminal 10 accesses the storage server 20, searches for forest images stored in the storage server 20, receives the forest images retrieved from the storage server 20, displays them on the screen, and produces or edits a precise clinical picture. It provides the ability to do so. In addition, the client terminal 10 detects an operator's manipulation using an input device such as a topomouse composed of a keyboard, a mouse, 16 buttons and a wheel, and generates an input signal accordingly. The client terminal 10 may visually display a forest image and a precise clinical image using a display device such as an LCD monitor or a Zscreen monitor, and output images and various data represented on a screen by using a printer or a plotter. can do.

In addition, the client terminal 10 may calculate a coordinate value where the client terminal 10 is located, including a GPS receiver and the like, and visually display the current position on the display device according to the calculated coordinate value, and the storage server 20 You can send your current location. In this case, the GPS receiver may be a short-range communication type that can be carried by a worker and communicate with the client terminal 10, or may be a removable type that is detachable to the client terminal 10 or embedded in the client terminal 10.

The client terminal 10 provides functions such as route search and route guidance from the current location to the destination, thereby enabling the on-site investigation of the precise clinical image through the client terminal 10, and thus, the on-site investigation and the precise clinical diagram production. Can improve work efficiency and continuity.

In particular, the client terminal 10 produces and edits a precise clinical map based on the forest image and the digital topographic map received from the storage server 20. More specifically, the client terminal 10 displays a variety of search functions such as scale, leaf name, leaf number, administrative region name, area selection, worker, etc. to the worker through the screen, and the forest in the storage server 20 with a search word selected from the worker Search for video. The client terminal 10 displays the forest image retrieved from the storage server 20 on the display device, and provides information on the currently selected leaf. In addition, the search for the map or pub based on the point selected by the input device, the metadata of the selected map or pub is searched, and the result is displayed on the display device.

The client terminal 10 processes various events according to the operation of the input device, performs various image processing functions such as transparency, brightness, contrast, histogram, and the like of the image. Performs screen processing functions such as moving / zoom / zoom out, zoom in area, and full screen view.

The client terminal 10 provides various statistics (eg, administrative districts, maps, species, forest area calculation, etc.) related to the precision of the clinical degree. To this end, the client terminal 10 sets the fields and properties for generating the statistics of the precise clinical degree, generates statistics based on the set values, and transmits the generated statistics to the storage server 20 in Excel format or Display on the display device.

The client terminal 10 provides the operator with the manufacturing, editing, and reading functions of the precision clinical display through the display device. More specifically, the client terminal 10 displays the forest image and the pre-prepared precision clinical image on the display device together with information such as the worker ID, the forest image path, and the name of the pre-prepared precision clinical image. In addition, the client terminal 10 sets symbolizing and labeling when displaying the preclinical precision produced or edited for editing.

The client terminal 10 can edit screens such as scale selection, work area enlargement, full area view, output preview, clinical boundary editing, intra clinical boundary editing, clinical combination, clinical division, editing completion, error detection, etc. Performs functions such as clinical reading, stereoscopic linkage, and scale synchronization. In addition, the client terminal 10 performs additional functions such as searching for a new leaf, leaving a note, exporting a shape file, and ending the current leaf operation.

In addition, the client terminal 10 assigns attributes including forests / non-forests, arbors / unforested lands, dying, clinical, species, salary, salary, and small density to the precision clinical diagram in which the production or editing is completed, and then the storage server 20. To send).

The storage server 20 stores a forest image, a digital topographical map including a true public photograph and a sheet aerial photograph, a precision clinical diagram completed or edited in the client terminal 10, and stores related data. In addition, the storage server 20 constructs and stores a database composed of attributes that can be given to the precision, and compresses or restores forest images.

To this end, the storage server 20 includes a first communication unit 21, an input / output unit 22, a first control unit 23, and a first storage unit 24.

The first communication unit 21 communicates with the backup server 30 and the plurality of client terminals 10 via a network.

The input / output unit 22 includes a conventional input device and a display device. The input device detects an input from the server manager as a keyboard, a mouse, etc., generates a signal corresponding to the input, and provides the signal to the first controller 23. The display device is an LCD monitor or the like, and displays a database construction screen for constructing a plurality of attributes of precision clinical data into a database.

The input device of the input / output unit 22 receives a plurality of attributes of a precision clinical degree for constructing a database from the server manager and provides them to the first control unit 23. The input / output unit 22 may include an output device such as a printer or a plotter capable of outputting an image and various data displayed on a screen of the display device.

The first control unit 23 constructs a plurality of attributes of the precision clinical image into a database, and compresses or restores the image data. To this end, the first control unit 23 includes a DB building unit 23a, an image compression unit 23b, and a management unit 23c, and the first control unit 23 includes a DB building unit 23a and an image compression unit ( 23b), the overall operation of the management unit 23c is controlled.

The DB constructing unit 23a constructs a database of a precise clinical degree using a plurality of attributes received from the input device of the input / output unit 22 and stores it in the data DB 24e. At this time, the plurality of attributes include forest / non-forest, arbor / non-forest, dying, clinical, species, salary, salary, small density. There are only four attributes of the conventional clinical scale with a 1: 25,000 scale: clinical, conservative, permanent, and small density. Therefore, as in the present invention, by constructing a database such that the numerical clinical degree has eight kinds of attributes, there is an effect that a more precise and detailed clinical degree can be constructed.

The database constructed by the DB building unit 23a is shown in Table 1 below.

Main Category Middle class Small classification Subdivision Classification Species code Forest
(Forest) Wooded land
(Stocked land) Natural forest
(Natural Forest) Coniferous forest
(Conifer forest) Pine forest ND Haesong-rim NT Deciduous forest
(Broadleaf forest) Oak forest NE Ginkgo grove NG Evergreen broad-leaved forest NE Conifer mixed forest NC Hardwood mixed forest NB Invasive mixed forest NM Bamboo forest NBm Artificial forest
Forest Plantations Coniferous forest
(Conifer forest) Pine forest Pd Pine forest PK Larch forest PL Rigida Pine Forest PR Cedar forest PCr Cypress Forest PCo Other coniferous forests PC Deciduous forest
(Broadleaf forest) Popuralim PPo Chestnut forest PCa Lily Forest PLt Birch forest PBp Fir tree PAb Other hardwoods Independence
(Unstocked land) Independence
(Unstocked land) Independence
(Unstocked land) Logging destination C Woodland O Wasteland E Grassland G plow L restraint R Immortality Dn Non-forest
(Non Forest) Non-forest
(Non Forest) Non-forest
(Non Forest) orchard
Fruit Farm Waterbody W orchard F Etc

The image compression unit 23b compresses an image when storing a forest image in the first storage unit 24, and compresses the image when the forest image stored in the first storage unit 24 is read and displayed on the screen of the display device. Restores the image. The image compression unit 23b may use a technique well known in the computer graphics field as MIP mapping.

The management unit (23c) is the approval request function, work status creation and inquiry function, return reason input and error sketching function, work progress inquiry function, precision clinical degree storage and storage history generation function, storage history inquiry function, password and name change function, Various functions such as authority / account registration and change are provided to the client terminal 10.

In particular, the management unit 23c grants three accounts (i.e. reader, middle manager, final manager) according to the operator's authority.

In addition, the management unit 23c assigns an attribute to the precision clinical degree transmitted from the client terminal 10 without the attribute being assigned and stores it in the first storage unit 24 as the first precision clinical degree.

When the management unit 23c receives the transmission request signal for the first precision clinical degree from the backup server 30 through the first communication unit 21, the management unit 23c extracts the first precision clinical degree from the first storage unit 24 according to the request signal. do. At this time, the management unit 23c determines whether the first precision clinical diagram exists in the first storage unit 24 by being produced and edited between the time before the specific period and the reception time based on the reception time of the request signal. For example, when the reception time of the request signal is PM2: 00 and the specific period is 1 hour, the management unit 23c is produced and edited for one hour from PM1: 00 to PM2: 00, and the first storage unit It is determined whether or not the first precision clinical degree stored in (24) exists. In this case, the specific period may be pre-stored in the first storage unit 24 and based on a difference between the reception time of the request signal finally received from the backup server 30 and the reception time of the request signal previously received. The presence of the first precision clinical degree can be determined.

The management unit 23c extracts the first precision clinical degree according to the determination result of the presence of the first precision clinical degree, and extracts the first precision clinical degree through the first communication unit 21 according to the control of the first control unit 23. 1 transmits the clinical precision to the backup server (30). On the contrary, the management unit 23c generates a signal indicating that the first precision clinical degree does not exist if the first precision clinical degree does not exist according to the determination result of the existence of the first precision clinical degree, and the control of the first control unit 23 is performed. As a result, the signal generated through the first communication unit 21 is transmitted to the backup server 30.

The first storage unit 24 stores an image such as a forest image and a digital topographic map, which are the bases for producing and editing the precision clinical map, for each leaf, and stores the precision clinical diagram produced and edited in the client terminal 10. Stores data related to images.

To this end, the first storage unit 24 includes a stationary public photograph DB 24a, a single aerial photograph DB 24b, a precision clinical diagram DB 24c, a digital topographic map DB 24d, and a data DB 24e. .

The still-life photography DB 24a and the single-air photography DB 24b store the still-life photography and the sheet aerial photography and corresponding metadata, respectively. In this case, the sheet aerial photograph stored in the sheet aerial photograph DB 24b may be a color sheet aerial photograph for a precision clinical picture, and may be a black and white sheet aerial photograph for a numerical clinical view of a scale of 1: 25,000. Single-page aerial photographs refer to individual aerial photographs taken through photographing, printing, and scanning. In addition, a normal aerial photograph refers to an aerial photograph which gives ortho-rectification of a single aerial photograph to give a coordinate. The present invention can use a satellite image or other digital image as a forest image instead of such an aerial photo.

The precision clinical diagram DB 24c stores the existing precision clinical diagram and the newly created or edited precision clinical diagram.

The digital topographic map DB 24d stores a digital topographic map, such as a digital elevation model (DEM).

The data DB 24e stores the precision clinical degree produced or edited in the client terminal 10 based on the database constructed as an attribute for the precision clinical degree, wherein the precision clinical degree stored in the data DB 24e is shown in the following table. As shown in FIG. 2, the attribute is stored in the state in which the attribute is assigned, and is stored in the first precision clinical condition under the control of the manager 23c.

In addition, the data DB 24e stores the editing history, the working status, and the storage history of the precision clinical picture.

The fields of the editing history data include an editing history number, a reader, a leaf name (or leaf number), an editing history name, an edit date and time, edit contents, and the like.

Fields of work status data include leaf number, leaf name, approval / return status, reader, requestor, request date, approver, approval date, companion, return date, final approver, final approval date, and so on. At this time, according to the inquiry condition, the work status data will be output as the whole leaf list, the scheduled leaf list, the leaf list during approval, the leaf request list, the approved leaf list, the companion leaf list, the final leaf list, and the final leaf list. Can be. In addition, the work progress for each reader and the map may be output using the editing history data and the work status data.

The fields of the storage history data include a storage type, a storage code, a holder, a storage date, a reason for storing, a distribution destination, and the like.

Heat Column ID Data type Length Identification number OBJECTID Object type SHAPE area AREA Round PERIMETER Leaf number MAP_NUM Integer 2 FGIS Feature List Standard Code FCODE Text 8 Forest / Non-forest FOREST Integer 2 Woodland / Landless Land TYPE Integer 2 Dying NATURAL Integer 2 clinical RF_TYPE Integer 2 dropsy SPECIES Text 2 Age AGE Integer 4 Lightweight DIAMETER Integer 2 Small density DENSITY Integer 2 Map symbol SYMBOL Text 10 Uniqueness COMMENT Text 40

The backup server 30 receives the precision clinical degree stored in the storage server 20 through the client terminal 10 at a specific cycle and compares and analyzes the previously prepared precision clinical degree, and then compares the previously stored precision clinical degree according to the comparison analysis result. Update and save. Hereinafter, for the convenience of explanation, the precision clinical degree stored in the storage server 20 through the client terminal 10 and received from the storage server 20 at a specific cycle is based on the first precision clinical degree and the backup server 30. The stored precision clinical picture is used as the term second precision clinical picture.

To this end, the backup server 30 includes a second communication unit 31, a second control unit 32, and a second storage unit 33.

The second communication unit 31 communicates with the storage server 20 through a network.

The second control unit 32 compares and analyzes the first precision clinical degree received from the storage server 20 at each specific period and the second precision clinical degree previously prepared and stored in the second storage unit 33, according to the comparison analysis result. 1 Update the second precision clinical degree to the precision clinical degree. To this end, the second control unit 32 includes a determination unit 32a and an analysis unit 32b, and the first control unit 23 controls the overall operations of the determination unit 32a and the analysis unit 32b.

The determination unit 32a determines whether a specific period for receiving the first precision clinical degree from the storage server 20 has arrived, and provides the determination result to the analysis unit 32b. In this case, the specific period may be in a state of being received and stored from the server administrator of the backup server 30, and may be changed according to the administrator.

The analysis unit 32b generates a request signal of the first precision clinical degree when a specific period arrives according to the determination of the determination unit 32a, and transmits the request signal to the storage server 20 through the second communication unit 31. do. On the contrary, if the specific period does not arrive, the analyzer 32b waits until the determination unit 32a determines that the specific period has arrived.

After the analysis unit 32b transmits the request signal of the first precision clinical degree to the storage server 20 and receives the first precision clinical degree from the storage server 20 through the second communication unit 31, the second storage unit The second precision clinical diagram identical to the name of the first precision clinical diagram among the second precision clinical diagrams prepared and stored in (33) is searched for.

Subsequently, when the second precision clinical degree equal to the name of the first precision clinical degree is retrieved from the second storage unit 33, the analyzer 32b extracts the retrieved second precision clinical degree and compares the first precision clinical degree to the second precision clinical degree. Analyze In this case, when the second precision clinical degree identical to the name of the first precision clinical degree does not exist in the second storage unit 33, the analyzer 32b determines that the first precision clinical degree is first manufactured, and thus the second storage unit 33 is determined. ) Stores the second precision clinical image as the first precision clinical image.

More specifically, the analysis unit 32b compares whether the final approach date of the first precision clinical road and the second precision clinical road is the same, and if the final approach date of each precision clinical road is the same, the final approach time of each precision clinical road is Compare for equality. The analysis unit 32b analyzes whether there is a difference between the precision clinical degrees when the final approach date and the final approach time of each precision clinical road are not the same. At this time, the analysis unit (32b) is different from the second precision clinical attributes of the forest / non-forest, tree land / non-forest, forestry, clinical, species, salary, salary, small density for the first precision clinical degree Can be analyzed.

Subsequently, the analysis unit 32b stores the second precision stored in the second storage unit 33 under the control of the second control unit 32 when the property of the first precision clinical degree is different from the property of the second precision clinical degree. The clinical degree is updated and stored as the first precise clinical level.

In addition, the analysis unit 32b determines that the first precision clinical view and the second precision clinical view are the same when the final approach date and the final approach time of the first precision clinical road and the second precision clinical road are the same as the second storage unit 33. Maintain the second precision clinical stored in the storage state.

The second storage unit 33 receives the first precision clinical image generated in the client terminal 10 and stored in the storage server 20 under the control of the second control unit 32, and receives the second precision clinical image from the storage server 20. Store it back. In addition, the second storage unit 33 updates and stores the second precision clinical degree as the first precision clinical degree according to the comparative analysis result of the analysis unit 32b, or when the first precision clinical degree is the first precision clinical degree transmitted, 1 Store the precision clinical picture as the second precision clinical picture.

4 is a flowchart illustrating a method of reading a forest image and establishing a precise numerical clinical image using a data backup method according to an exemplary embodiment of the present invention.

Referring to FIG. 4, in operation S11, the client terminal 10 proceeds to step S12 when the precision clinical diagram production or editing is completed, and transmits the precision clinical diagram in which the production or editing is completed in step S11 to the storage server 20. In operation S13, the storage server 20 assigns a plurality of attributes to the precision clinical picture received from the client terminal 10 and stores the same as the first precision clinical picture.

In step S14, the backup server 30 determines whether a particular cycle has arrived. As a result of the determination, when the specific cycle arrives, the backup server 30 proceeds to step S15. If the specific cycle does not arrive, the backup server 30 performs step S14 again. In this case, for the convenience of description, it is described that step S14 is performed after step S11 to step S13, but the present invention is not necessarily limited thereto, and step S14 is performed first, then step S11 to S13 is performed, or step S11 to S13. Step S14 and step S14 may be performed simultaneously.

In operation S15, the backup server 30 generates a first precision clinical request signal, and in operation S16, the backup server 30 transmits the generated first precision clinical request signal to the storage server 20.

In operation S17, the storage server 20 searches for the first precision clinical degree according to the received first precision clinical degree request signal. At this time, the storage server 20 searches for the first precision clinical data which is produced or edited from the time before the request signal is received to the time when the request signal is received to the time when the request signal is received.

Thereafter, in step S18, if the first precision clinical degree corresponding to the request signal does not exist in the search result, the storage server 20 proceeds to step S19 and signals that the first precision clinical degree corresponding to the request signal does not exist. In operation S20, the storage server 20 transmits the generated signal to the backup server 30. The backup server 30, which has received a signal indicating that the first precision clinical degree does not exist, returns to step S14 to perform the above process again.

On the contrary, if the first precision clinical degree corresponding to the request signal exists in step S18, the storage server 20 proceeds to step S21 to extract the first precision clinical degree corresponding to the request signal, and in step S22 the storage server 20 The extracted first precision clinical degree is transmitted to the backup server 30.

Subsequently, in step S23, the backup server 30 searches for the second precision clinical image having the same name as the name of the first precision clinical image received from the storage server 20, and in step S24, the backup server 30 searches the search result. Accordingly, it is determined whether the second precision clinical diagram having the same name as the first precision clinical diagram exists.

As a result of the determination in step S24, if there is a second precision clinical degree having the same name as the first precision clinical degree, the backup server 30 proceeds to step S25 to extract the second precision clinical degree, and in step S26 the backup server 30 Compare the first precision and the second precision clinical.

In step S27, the backup server 30 determines whether the final access date of the first precision clinical road and the second precision clinical road is the same according to the comparison result of step S26. As a result of the determination in step S27, if the final access date of the first precision clinical road and the second precision clinical road is not the same, the backup server 30 proceeds to step S29, and if the final access date is the same, the backup server 30 steps S28. Proceed to In step S28, the backup server 30 determines whether the final approach time of the first precision clinical road and the second precision clinical road are the same, and if the final approach time is the same, the process returns to step S14 to repeat the above steps, and the final approach time is If not the same, go to step S29.

Subsequently, in step S29, the backup server 30 analyzes whether there is a difference between the first fine clinical degree and the second fine clinical degree.

More specifically, the backup server 30 may be configured for the first precise clinical degree according to the editing result of the clinical boundary editing, the in-clinical boundary editing, the clinical combination, the clinical division, etc. of the first precise clinical degree performed on the client terminal 10. The difference is recognized when the attribute is different from the second precision clinical. At this time, the attributes for the precision of the forest may include forest / non-forest, timber / non-forest land, death, clinical, species, salary, salary, small density.

As a result of the analysis of step S29, when there is a difference between the first precision clinical and the second precision clinical, the backup server 30 proceeds to step S30 to update and store the second precision clinical degree with the first precision clinical stage, and returns to step S14. Repeat the above steps.

On the contrary, if there is no difference between the first and second precision clinical results as a result of the analysis of step S29, the backup server 30 returns to step S14 to perform the above steps again.

In addition, if it is determined in step S24 that the second precision clinical degree having the same name as the first precision clinical image does not exist, the backup server 30 determines that the first precision clinical degree is first manufactured, and then proceeds to step S31. 1 Store the precision clinical picture as the second precision clinical picture.

FIG. 5 is a flowchart illustrating a method of reading a forest image and establishing a precise numerical clinical map using a data backup method in a storage server according to an exemplary embodiment of the present invention.

Referring to FIG. 5, in operation S41, the storage server 20 stores the precision clinical picture received at the client terminal 10 as the first precision clinical picture.

In step S42, if the request signal for the first precision clinical degree is received from the backup server 30, the storage server 20 proceeds to step S43. If the request signal is not received, the storage server 20 continuously performs step S42.

Since steps S43, S44, S45, and S46 are the same as S17, S18, S19, and S21 of FIG. 4, detailed descriptions thereof will be omitted.

In operation S47, the storage server 20 transmits a signal indicating that there is no first precision clinical degree corresponding to the request signal received from the backup server 30 to the backup server 30, or extracts in operation S46. The first precision clinical image is transmitted to the backup server 30.

FIG. 6 is a flowchart illustrating a method of reading a forest image and establishing a precise numerical clinical map using a data backup method in a backup server according to an exemplary embodiment of the present invention.

Referring to FIG. 6, operations performed by the backup server 30 in steps S51 to S53 are the same as those in steps S14 to S16 of FIG. 4, respectively, and thus a detailed description thereof will be omitted.

Thereafter, in step S55, the backup server 30 proceeds to step S55 when the first precision clinical degree is received from the storage server 20, and returns to step S51 when a signal indicating that the first precision clinical degree does not exist is received. Rerun the step.

Subsequently, steps S55 to S63 are the same as steps S23 to S31 of FIG. 4, respectively, and thus a detailed description thereof will be omitted.

It should be noted that the embodiments of the present invention disclosed in the present specification and drawings are only illustrative of specific examples for the purpose of understanding and are not intended to limit the scope of the present invention. In addition to the embodiments disclosed herein, it is apparent to those skilled in the art that other modifications based on the technical idea of the present invention can be implemented. For example, since the system 100 illustrated in FIG. 1 may have a configuration in which the client terminal 10 is connected to the storage server 20, the system 100 is a system suitable for an environment in which several workers work at the same time. However, the system 100 of the present invention is not necessarily limited to the above example, and may be implemented as one computer system without distinction between the storage server 20 and the client terminal 10. In addition, the backup server 30 and the storage server 20 may have a configuration that is connected to each other, but is not necessarily limited to the above example, the backup server 30 and the storage server 20 is one storage system without distinction It can be implemented as.

10: client terminal 20: storage server
21: first communication unit 22: input and output unit
23: first control unit 23a: DB construction unit
23b: video compression unit 23c: management unit
24: first storage unit 24a: a regular public photograph DB
24b: Single aerial photography DB 24c: Precision clinical DB
24d: location map DB 24e: data DB
30: backup server 31: the second communication unit
32: second control unit 32a: determination unit
32b: analysis unit 33: second storage unit
100: System

Claims (14)

Forest images, numerical topographic maps, first precision clinical maps with a scale of 1: 5,000, and related data, and forest / non-forests, planted lands / freelands, forestry, clinical, species, benefit, A storage server configured to construct an attribute including an advanced level and a small density into a database, compressing or restoring the forest image, and storing the forest image including the editing history, work status, and storage history of the first precision clinical image as the related data;
Searching the forest image of a specific leaf corresponding to the search condition from the storage server according to a search condition including a scale, displaying a forest image searched from the storage server on a screen, and reading the searched forest image After producing the first precise clinical degree, or performing an editing function including the clinical boundary editing, intra-clinical boundary editing, clinical combination, clinical division of the first precision clinical degree, the forest / rain to the first precision clinical degree A plurality of client terminals for storing attributes in the storage server by assigning attributes including forests, arbors / independences, death, clinical, species, salary, salary, and small density;
Receive the first precision clinical degree stored in the storage server through the plurality of client terminals every specific period, compare and analyze the previously stored second precision clinical degree, and update and store the second precision clinical degree according to the comparison analysis result. Including a backup server;
The backup server,
If there is a second precision clinical degree that is the same as the name of the first precision clinical degree is compared whether the first and the last access date of the clinical precision is the same, and if the last access date is not the same and the first and Analyze whether there is a difference for the second precision clinical degree, and if there is a difference for the first and second precision clinical degrees, update the second precision clinical degree to the first precision clinical level, and if the final approach date is the same According to a result of determining whether the final approach time to the first and second precision clinical roads is the same, whether there is a difference between the first and second precision clinical roads is analyzed, and the forest / non-forests for the first precision clinical roads are analyzed. Analyze the difference between the second precision clinical characteristics and the attributes including the arbor / non-wood, dying, clinical, species, age, grade, and small density with the difference,
The forest image reading and precision numerical clinical construction system using a data backup method, characterized in that the control to store the first precision clinical degree if the second precision clinical degree that is the same as the name of the first precision clinical degree is stored in the storage unit. The method of claim 1, wherein the backup server,
A communication unit for communicating with the storage server;
Determination unit for determining whether a particular cycle has arrived;
After requesting the first precision clinical image having a scale of 1: 5,000 to the storage server according to a result of the determination unit, comparing and analyzing the first precision clinical image and the previously stored second precision clinical image, the comparison analysis result An analysis unit configured to update the second precision clinical degree to the first precision clinical degree according to the present invention;
A storage unit for storing the second precision clinical image having a 1: 5,000 scale received from the storage server;
Forest image reading and precision numerical clinical construction system using a data backup method comprising a. The method of claim 2,
The analyzer
And if there is a second precision clinical view identical to the name of the first precision clinical picture, comparing the first precision clinical view with the last access date of the second precision clinical road, and comparing the forest image with the data backup method. Precision numerical clinical construction system. The method of claim 3,
The analyzer
If the final access date is not the same forest image reading and precision numerical clinical construction system using a data backup method characterized in that for analyzing the existence of the difference between the first and second precision clinical degree. 5. The method of claim 4,
The analyzer
If there is a difference between the first and second precision clinical degree, forest image reading and precision numerical clinical map construction system using a data backup method, characterized in that for updating the second precision clinical degree to the first precision clinical. The method of claim 5,
The analyzer
Characterized by the difference between the forest, non-forest, tree / non-forest, forest, clinical, tree species, salary, salary, small density for the first precision clinical degree is different from the second precision clinical degree with the difference Forest image reading and precision numerical clinical construction system using data backup method. The method of claim 3,
The analyzer
If the last approach date is the same, the data of the presence or absence of a difference between the first and the second precision clinical degree according to the determination result of the determination whether the final access time to the first and second precision clinical road, characterized in that Forest image reading and backup using digital backup system. The method of claim 3,
The analyzer
The forest image reading and precision numerical clinical construction system using the data backup method, characterized in that the control to store the first precision clinical degree in the storage unit if there is no second precision clinical same as the name of the first precision clinical degree. . The method of claim 1, wherein the storage server,
A communication unit for communicating with the backup server and a plurality of client terminals;
A storage unit for storing a forest image, a digital topographic map, a precision clinical map having a 1: 5,000 scale received from the plurality of client terminals, and related data;
A DB construction unit for constructing a plurality of attributes of the precision clinical degree into a database in the storage unit;
An image compression unit compressing or restoring the forest image;
The plurality of attributes are assigned to the detailed clinical degrees transmitted from the plurality of client terminals, and the first attributes are stored in the storage unit as the first precise clinical degree, and the first precision clinical degree is received from the backup server. A management unit which controls the communication unit to extract a precision clinical degree and transmit it to the backup server;
Forest image reading and precision numerical clinical construction system using a data backup method comprising a. 10. The method of claim 9,
The management unit
Based on the reception time of the transmission request, the forest image reading and the precision numerical clinical data using the data backup method, characterized in that it is determined whether the first precision clinical degree produced and edited between the time before the specified period and the reception time. Road building system. The method of claim 10,
The management unit
As a result of the determination, if the first precision clinical degree is present, the forest image reading and precision numerical clinical image construction system using the data backup method, characterized in that for controlling the communication unit to extract and transmit the first precision clinical degree to the backup server. . The method of claim 10,
The management unit
And the communication unit controls the communication unit to transmit a signal indicating that the first precision clinical degree does not exist to the backup server if the first precision clinical degree does not exist. Precision numerical clinical construction system. delete delete

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