JP6815593B2 - Forest resource distribution management system and forest resource distribution management method and program - Google Patents

Description

The present invention relates to a forest resource distribution management system, a forest resource distribution management method, and a program that are beneficial to both a user (customer) who orders a tree as a forest resource and a mountain owner or a forestry worker who manages the forest.

In a forest managed by a mountain owner or a forestry worker, trees such as sugi and cypress in a predetermined section to be cut down are cut into logs as logs and generally sold in the log market after being sold as logs, as described in Patent Document 1. It is transported to a sawmill, processed, and distributed to timber stores and construction shops.

Japanese Unexamined Patent Publication No. 2011-186587

In the conventional forest resource distribution management system, only trees having a relatively straight part are targeted for distribution, and trees that deviate from this (bent trees) are disposed of.

However, for example, depending on the user (customer) who accesses the furniture and remodeling industry, if you choose by yourself, or if you choose while consulting with a designer who designs furniture and remodeling, even if it is a bent tree, you will like it. It is conceivable that you would like to obtain a tree that suits your needs. In particular, if it is a tree that is out of the conventional distribution target and can be obtained at a low price, it is conceivable that it would be desirable to obtain it.

On the other hand, if a mountain owner or a forestry worker who manages a forest can distribute trees that have only been disposed of in the past, the increase in profits will enable him to invest in forest conservation, and the forestry worker will be able to proceed with investment in forest protection. It is considered necessary to have a logging procedure according to the new distribution target.

An object of the present invention is to provide a forest resource distribution management system, a forest resource distribution management method, and a program that are beneficial to both a user (customer) who orders a tree as a forest resource and a mountain owner or a forestry worker who manages the forest. There is.

In order to achieve the above object, the forest resource distribution management system according to the present invention is a forest resource distribution management system having a management server, and the management server is a tree of a predetermined section in a forest managed by a mountain owner or a forestry worker. Is targeted for cutting by a forestry worker, and information from an acquisition means for acquiring information before cutting of each tree in the predetermined section is received as the first information and data is accumulated, and among the first information, Receiving the information selected as the desired tree by the user so as to include at least as the second information, and accumulating the data so that it can be discriminated whether the tree is recognized as the waste material to be disposed of, and the user desires. Accumulating the price data of the selected tree calculated from the price of the finished product using the tree selected as the tree to be used, and for the tree of the predetermined section in the forest newly managed by the mountain owner or the forestry worker, the above-mentioned When the acquisition means acquires the information before cutting of each tree, it is a tree recognized as a waste material to be disposed of in the second information accumulated in the data, and has the characteristics of the selected tree. Based on cutting procedure information provided to forestry workers to distribute newly acquired trees of similar quantity, and price data calculated from the price of the finished product as the price of the distribution target. It is characterized in that at least one of the sales forecast information provided to the forestry worker or the mountain owner by adding a price is provided as the third information, and at least is executed.

Further, in the forest resource distribution management method according to the present invention, the management server targets trees in a predetermined section of the forest managed by the mountain owner or the forestry worker to be cut down by the forestry worker, and before cutting down each tree in the predetermined section. The step of receiving the information from the acquisition means for acquiring the information as the first information and accumulating the data, and the information selected by the management server as the tree desired by the user among the first information is the second information. The step of accumulating data so as to be able to determine whether or not the tree was recognized as a waste material to be disposed of, and the tree selected by the management server as the tree desired by the user were used. Before cutting each tree by the acquisition means for the step of accumulating the price data of the selected tree calculated from the price of the finished product and the tree of the predetermined section in the forest newly managed by the mountain owner or the forestry worker. The management server is a tree recognized as a waste material to be disposed of in the second information accumulated in the data, and the feature amount is similar to that of the selected tree. , Add logging procedure information provided to forestry workers to distribute newly acquired trees, and add a price based on price data calculated from the price of the finished product as the price of the distribution target. characterized in that it comprises the steps of: providing at least one of the sales forecast information provided to the forestry house or mountain main as a third information in the.

Further, in the program according to the present invention, the management server targets the trees in a predetermined section of the forest managed by the mountain owner or the forestry worker to be cut down by the forestry worker, and acquires the information before cutting of each tree in the predetermined section. The step of receiving the information from the acquisition means as the first information and accumulating the data, and receiving and disposing of the first information so as to include at least the information selected as the tree desired by the user as the second information. The step of accumulating data so that it can be discriminated whether the tree is recognized as the target waste material, and the price of the selected tree calculated from the price of the finished product using the tree selected as the tree desired by the user. When the step of accumulating data and the information before cutting of each tree are acquired by the acquisition means for the trees of a predetermined section in the forest newly managed by the mountain owner or the forestry worker, the second data is accumulated. Trees that were recognized as waste materials to be disposed of in the information in the above, and that have similar characteristics to the selected trees and for which newly acquired information has been acquired, are to be distributed to foresters. At least one of the felling procedure information provided and the sales forecast information provided to the forester or the mountain owner by adding the price based on the price data calculated from the price of the finished product as the price to be distributed. It is characterized in that at least the steps provided as the information of 3 are executed.

According to the present invention, a forest resource distribution management system, a forest resource distribution management method, and a program that are beneficial to both a user (customer) who orders a tree as a forest resource and a mountain owner or a forestry person who manages the forest are provided. be able to.

Overall conceptual diagram in the forest resource distribution management system according to the embodiment of the present invention Explanatory drawing about the flow of the conventional market information and the flow of the market information in the forest resource distribution management system according to the embodiment of the present invention. System configuration diagram mainly consisting of a management server in the forest resource distribution management system according to the embodiment of the present invention Conceptual diagram of sales forecast information and logging procedure information when curved trees that were previously recognized as targets for disposal are targeted for distribution Diagram showing the flow from measurement of a tree selected by the user to delivery as furniture Conceptual diagram leading to the provision of sales forecast information and logging procedure information Flow chart corresponding to the conceptual diagram of FIG. Block diagram of the management server Diagram of similarity judgment of tree features

Hereinafter, FIG. 3 shows a system configuration diagram mainly composed of a management server in the forest resource distribution management system according to the embodiment of the present invention. As shown in FIG. 3, the management server 301 and the known forest measuring instrument 302, the management server 301 and the furniture / remodeling company 303 as a trader user, the mobile terminal 304 carried by an individual user, and the mountain owner / forestry 305 are on the Internet. Are connected to each other. The mobile terminal 304 is an information terminal device that can move with the movement of an individual user, typified by a smartphone (smartphone), and includes a notebook PC, a tablet terminal, and the like.

By the way, when a tree in a predetermined section in a forest managed by a mountain owner / forestry 305 (a coniferous tree such as cedar, hinoki, pine or a broad-leaved tree such as beech or cherry tree) is targeted for felling by a forestry worker, each of the trees in the predetermined section The forest measuring instrument 302 functions as an acquisition means for acquiring information before cutting down trees. As the forest measuring instrument 302, a forest three-dimensional measuring system "OWL (registered trademark)" (Optical Woods Ledger) developed by Add-in Research Institute Co., Ltd. is known. It is equipped with a laser scanner, a sensor, and a GPS receiver, and measures the diameter at breast height, tree height, and bending as a standing tree survey (a scan of 360 degrees excluding 90 degrees below captures a wide range of sky data), and the position map and position map from the measurement data. The average volume of data can be obtained, and the forest can be reproduced on a personal computer by a walk-through that expresses the inside of the forest in three dimensions.

As a usage of the forest measuring instrument 302, the measurer moves the forest measuring instrument 302 while walking in the forest. The forest measuring instrument 302 allows the user to recognize the diameter and height of trees and the degree of bending as information on trees before cutting for each tree (tree α, tree β, tree γ, etc.) in a predetermined section scheduled to be cut. Degree image (walking image)) is acquired. The acquired information is transmitted to the management server 301 via the Internet, and the management server 301 receives the acquired information as the first information.

The forest measuring instrument 302 is not limited to the mobile type as described above, and may be fixedly provided corresponding to each tree.

As will be described in detail later, the user (customer) can select the furniture or the tree that matches the remodeling design desired by the user at the furniture / remodeling company 303. This selection information is transmitted to the management server 301 via the Internet, and the management server 301 receives the selection information as the second information.

Then, the management server 301 transmits the logging procedure information or the sales forecast information as the third information to the forestry worker or the mountain owner (mountain owner / forestry owner 305) based on the second information with respect to the first information. When many bent trees are selected as the second information for the first information,
As the third information, it is necessary to carefully cut down as a distribution asset instead of rough cutting as when it is recognized as waste material to be disposed of, and cutting procedure information including the cutting order, or general cutting. Send sales forecast information that the sales forecast price is higher than the sales forecast price.

Of course, when many bent trees are selected as the second information with respect to the first information, in the present invention, bent trees or the like recognized as waste materials to be disposed of (hereinafter, typically songs). When a user selects a tree (called a tree), if the feature amount (which is a quantified shape of the tree and includes the degree of bending (degree of bending)) is similar to the curved tree selected in the past, it is subject to distribution. Providing information on logging procedures to forestry workers. In addition, sales forecast information will be provided to forestry workers or mountain owners so as to add the above distribution targets. FIG. 4 shows this as a conceptual diagram.

Regarding sales forecast information, general (conventional) calculation (specification) is performed for the forecast sales price A for straight trees (hereinafter, typically referred to as "chokuboku") that have been conventionally recognized as distribution targets. The calculation (specification) of the expected sales price B for the curved tree will be described in detail later.

In addition, regarding the cutting procedure information, the curved trees that will be the new distribution target will be the main cutting target from the cutting target for disposal as waste wood or the thinning target (this will also be described in detail later).

Here, the main cutting is the cutting for harvesting the trees to be distributed. In addition, felling is cutting to protect young trees (young trees) that are being raised. In addition, thinning is thinning to promote the growth of trees.

In the present embodiment, if the user (customer) and the designer directly see the tree by the image and the price is higher than that of wholesale to the log market, the mountain owner and the forestry worker increase the income by selling directly instead of the market. Can be done.

In FIG. 3, the mobile terminal 304 can receive the information transmitted from the management server 301 to the market by SNS, and can transmit the evaluation information such as “like” to the management server 301 as a reaction from the market. Then, the management server 301 collects the reaction from the market and analyzes the value of the tree in the predetermined plot to be cut down.

Next, FIG. 1 shows an overall conceptual diagram of the forest resource distribution management system according to the embodiment of the present invention.

In FIG. 1a, Company A sells the forest measuring instrument 302 as an acquisition means for acquiring information including an image before cutting of trees to influential mountain owners and forestry workers in the area as hardware. In addition, we will support the measurement work or undertake the entire measurement for a fee.

In b of FIG. 1, the influential mountain owner / forestry rents the forest measuring instrument 302 to the surrounding mountain owners / forestry for a fee (cheap). Company A supports this rental for free.

In FIG. 1c, influential mountain owners / forestry workers in the area and surrounding mountain owners / forestry workers make measurements using the forest measuring instrument 302 in the forest area they want to sell (predetermined section of the forest they manage). Do. The measurement data is transmitted to company A, and company A provides the analysis results for a fee.

In FIG. 1d, the measurement data is open to the public as rough video information and can be viewed on SNS (social networking service) and HP (homepage) sites with the permission of the mountain owner / forestry worker.

In Fig. 1e, local events, tourists, restaurants, furniture, remodeling companies, etc. place banner advertisements on the site, and Company A, as well as mountain owners and forestry workers, receive the advertisement fee as income. ..

In FIG. 1f, with the permission of the mountain owner / forestry worker, Company A uses the measurement data as detailed tree information from the management server 301 to the local forest tree producer and furniture / remodeling company 303 (Fig. 3). Provide (send) for free. Users (customers) may make their own choices (decisions) while looking at detailed tree data and images, but they also consider and select "what kind of furniture to make with which tree" with designers and forestry workers. (decide. At that time, the information on the trees can be viewed and selected on the touch panel, and the decisions made by the designer and the user (customer) can be input to the screen.

Depending on the user, it is possible to decide that bent trees (habit trees) etc. are suitable for their hobbies, and trees that had been disposed of (discarded) at a high cost before thinning can be sold at a high price. Become.

In g of FIG. 1, Company A analyzes and grasps what kind of tree has what kind of meaning and value from the profile of the target person obtained by SNS, the content of conversation, and the like. Then, the analysis result is provided to the designer. Furthermore, based on a lot of data such as the results of trees selected (decided) by the user (customer) and the design of the furniture produced, what kind of tree can be sold at what price, what kind of design and designer are compatible. Is good.

In h of FIG. 1, Company A equipped with the management server 301 sends data on which tree to be cut and how to cut it (cutting procedure information) to the forestry company. Then, when an automatic logging machine is used, this data is transmitted to the automatic logging machine, and automatic logging can be performed immediately.

In addition, Company A sends sales forecast information to the mountain owners and forestry workers who manage the forest. In addition, Company A provides mountain owners and forestry workers who manage forests with a fee for how to grow forest trees (management method) and preferred logging methods (timing). In addition, the compatibility of trees and designs is fed back to the market and designers as information.

In the above description, the same company A is the main body of the forest measuring instrument 302 and the management server 301, but the forest measuring instrument 302 may be the main body and the management server 301 may be the main body different from the company A. ..

Next, FIG. 5 shows the flow from measurement (measurement) of the tree selected (purchased) by the user to delivery as furniture, and FIG. 6 shows a conceptual diagram leading to the provision of sales forecast information and logging procedure information.

In FIG. 5, in the forest to be cut, the characteristic amount of each tree (tree) in the forest before cutting (the shape of the tree is quantified and includes the degree of bending (degree of bending)) is measured (measured). To. The list of the data can be displayed, and the user (individual / contractor) can select (purchase) a tree that suits his / her taste by himself / herself or with a designer (furniture / remodeling contractor).

When the tree is selected, in the case of the tree used for furniture, the design of the furniture is determined and the price of the furniture as a finished product is determined. Then, the customer value of the tree calculated from the price of the finished product is determined. That is, the price of the tree that the user is satisfied with is determined.

The selected trees are excluded from the target of cutting or thinning, and are targeted for main cutting as distribution targets. Then, the tree selected by the user is cut down as lumber, and is delivered as furniture through a woodworking process.

By accumulating data by accumulating such sales experience, it is possible to quantitatively grasp what kind of trees generate customer value and provide feedback to mountain owners and forestry workers.

In FIG. 6, measurement data (measurement data) related to information on trees in the forest to be cut down is accumulated in the management server. The measurement data stored in the management server is displayed in a list on a display (not shown). In addition, users, designers, and forestry workers can check the list displayed using their respective indicators. Users, designers, forestry workers, and even mountain owners can check the list displayed by looking at the display on the same terminal.

In FIG. 6, the user identifies a tree that he / she feels favorable by himself / herself or, if necessary, in consultation with a designer or a forestry worker, and finally selects a desired tree. As for the specifications of these trees, straight trees and curved trees are determined by the feature quantity similarity determination unit (Fig. 8) described later in the management server, and the management server recognizes the trees (curved trees) as waste materials to be disposed of. ), And the judgment related to the user's selection is accumulated as data. As a judgment regarding the user's selection, for example, there is a comment that "I find this tree attractive".

Furthermore, the management server accumulates data on the acceptance / rejection decisions of the designer and the forestry worker. As for the decision of acceptance or rejection of designers and forestry workers, for example, comments from designers "This tree can be designed", "This tree can be adopted" from forestry workers, "This tree comes into contact with other trees" There is a high possibility that it is damaged because it is damaged. "This information is stored in the management server.

Then, with respect to the finally selected tree, the estimation of the furniture as a finished product is determined, and the price data determined as the price of the selected tree is stored in the management server.

In FIG. 6, a designer and a forestry worker are shown as advisors to the user, but there are cases where only the designer intervenes without the forestry worker as the advisor to the user. There may also be no advisor (users only).

Further, in FIG. 6, although it is typically described as forest A before deforestation, data in all forests for which tree information has been measured (measured) by a forest measuring instrument in the past is stored and accumulated in the management server. To.

Here, when considering the forest assessment of the forest Z before clearing as a new forest, the characteristic amount of the curved trees measured (measured) in the forest Z is similar to that of the previously selected curved trees in which the data was accumulated. Identify the curved tree as a distribution target (soldable curved tree). Then, regarding the price of the curved tree specified as a sellable curved tree, the price is set based on the price data of the trees having similar feature quantities, which are calculated from the finished product and stored in the management server (detailed later). ).

That is, a song tree whose features are similar to those selected in the past for which data has been accumulated
As the final distribution target, it will be the target of logging procedure information and sales forecast information.

As a result, in the forest Z, the new value of the curved tree, which was conventionally recognized as a thinned wood or a thinned wood, is calculated. Then, the sales forecast information related to the value of the mountain (forest) is provided to the mountain owner / forestry by adding the price of the sellable curved tree specified as the distribution target.

In addition, the curved trees identified in this way are provided to forestry workers with cutting procedure information (not subject to cutting or thinning, but subject to main cutting) so that they are targeted for distribution from the target for disposal. This will change the order of clearing, thinning, and main cutting.

FIG. 7 shows the conceptual diagram of FIG. 6 as a flowchart. In the data accumulation stage, with respect to the forest A before deforestation shown in FIG. 6, measurement data (measurement data) relating to information on trees in the forest to be deforested is accumulated in the management server (steps S100 and S101). ). As described above, the measurement data stored in the management server is listed on a display (not shown). In addition, users, designers, and forestry workers can check the list displayed using the display on each terminal (S102, S103, S104). As described with respect to FIG. 6, designers, forestry workers, and even mountain owners can check the list displayed by looking at the display on the same terminal.

In addition, in FIG. 7, the front and back in S102 and S103 provided in parallel may be simultaneous. Further, although S102 and S103 are provided in parallel in FIG. 7, they can also be provided in series. For example, it is possible to make a flow in which the user first selects and if it is OK, then the designer decides. It can also be a flow in which the forestry verifies before the user's selection, not after the user's selection.

Here, as shown in a, b, and c of FIG. 7, when the user selects (OK) in S102, the designer selects (OK) in S103, and the forestry worker verifies (OK) in S104, it is shown in FIG. Each comment is accumulated in the management server as sales possibility data according to the tree form (straight tree, curved tree) (step S105). As shown in FIG. 6, the data storage in the management server so that it can be determined whether the tree is a curved tree will be described later with reference to FIG.

If both the user and the designer are OK and the forestry worker is OK, when the design of the finished product and the price of the finished product are determined using the tree in Fig. 7, the price of the tree is input and the tree form is determined. The selling price data according to (Naoki, Kakuki) is accumulated in the management server (steps S106 and S107).

Here, in d of FIG. 7, when there are a plurality of candidates as the trees intended to be purchased by the user, the price may be input for each candidate in S106, or the tree finally selected by the user as the most preferable tree. You may enter the price.

In addition, the contents of the design of the finished product determined in S107 can be streamed on SNS.

Next, in the forest assessment stage, measurement data (measurement data) using a forest measuring instrument is newly accumulated in the management server for the forest Z before deforestation shown in FIG. 6, which is newly targeted for deforestation. (Step S108).

Then, as described with reference to FIG. 6, regarding the curved trees measured (measured) in the forest Z, the curved trees having similar feature amounts to the curved trees selected in the past are specified as sellable curved trees (distribution targets). (Step 109). Then, with respect to the specified price of the curved tree, the price is set based on the price data of the previously selected curved tree having a similar relationship accumulated in step S107. For example
Regarding the price of the specified song tree, the price may be the same as the price data of the previously selected song trees having a similar relationship accumulated in step S107 (the same price regardless of the degree of similarity), or in step S107. As a price calculated using the similarity as an index based on the accumulated price data of previously selected songs with similar relationships (when the similarity is high, the price is higher than when the similarity is low). Is also good.

As a result, in the forest Z, the new value of the curved tree, which was conventionally recognized as a thinned wood or a thinned wood, is calculated. Then, the sales forecast information related to the value of the mountain (forest) is provided to the mountain owner / forestry by adding the price of the sellable curved tree specified as the distribution target (S111). In addition, the curved trees identified in this way are provided to forestry workers with cutting procedure information (not subject to cutting or thinning, but subject to main cutting) so that they can be distributed from the disposal target (S110). ..

Then, the data obtained in S109 is added to the data accumulation in S101.

Here, as shown in FIG. 8, the management server 301 includes a data storage unit 310, a feature amount similarity determination unit 320, a sales forecast information output unit 330, and a logging procedure information output unit 340.

The data storage unit 310 stores data in steps S101, S105, S107, and S109 of FIG. 7. Further, the sales forecast information output unit 330 and the logging procedure information output unit 340 are for performing steps S111 and S110 in FIG. 7.

Then, the feature amount similarity determination unit 320 performs the following two similarity determinations. First, regarding the trees in the forest Z, the straight trees and the curved trees are judged, and the data is accumulated so that it can be determined whether the trees (curved trees) are recognized as waste materials to be disposed of.

That is, the similarity is determined based on a straight tree (straight tree), a tree having a similarity equal to or higher than a predetermined value is determined to be a straight tree, and a tree having a similarity not reaching a predetermined value is determined to be a curved tree. Then, the determination results of Naoki and Kakuki are stored and accumulated in the data storage unit 310.

Secondly, it is determined whether the information on the curved tree in the forest Z is similar to the feature amount of the curved tree selected (purchased) by the user in the forest A. A simple method for doing this will be described with reference to FIG.

Assuming that the tree (curved tree) is observed as a two-dimensional shape from the direction that most represents the bend (hereinafter referred to as the front direction), FIG. 9A shows the degree of bend in each region extending from the root side to the tip side of the tree. Indicates a vector indicating. The larger the number of regions, the higher the accuracy of the similarity judgment, but it is desirable that the number of regions is not too large for the sake of convenience, and five regions are illustrated here (FIG. 9 (b)).

In FIG. 9A, the case where there is a tree on the upper side in the vertical direction from the root side is 0, and the case where the tree bends from the upper side in the vertical direction in 22.5 degree units is 1, 2, 3, 4 (horizontal direction), 5 , 6, 7, 8 (lower side in the vertical direction). If it bends in the opposite direction, add a minus sign. If the bending direction is the boundary of each numerical value, the numerical value closer to 0 can be used.

FIG. 9B shows a case of a curved tree in which 2,1,0, -1, and -2 are sequentially added from the root side to the tip side. Further, FIG. 9 (c) shows a data string showing the degree of bending of such a curved tree.

It should be noted that each region does not have to have an equal length, and the length until the feature amount changes can be defined as the length of each region.

In this way, when it is 0, it is quantified as a region corresponding to a straight tree, and when it is other than 0, it is quantified as a region where the larger the numerical value, the larger the bend.

Then, using the digitized data string from the root side, the data string of the curved tree detected in the forest Z and the data string of the curved tree already selected (purchased) by the user in the curved tree in the forest A are selected. Compare. That is, when the data string in the forest Z is included in the data string in the forest A, or when the data string in the forest Z matches the data string in the forest A, it is determined that the curved tree is to be distributed in the forest Z.

Further, in the data strings to be compared, if the lengths of the regions are the same, it can be determined that the similarity is the highest, and if the lengths of any of the regions are different, the similarity can be determined to be slightly low.

It should be noted that a portion of the tree having a hump or a branch can be assigned as reference numeral 9.
In this case, it is possible to compare the data strings including the code 9, and if the positions where the code 9 appears in the data string are the same, it is judged that the similarity is the highest, and the code 9 appears in the data string but the position is If they are different, it can be judged that the similarity is slightly low.

It is also possible to compare the data strings excluding the reference numeral 9.

Note that FIG. 9A shows a vector indicating the degree of bending in units of 22.5 degrees, but the present invention is not limited to this, and the degree of bending is shown in units of different angles (for example, in units of 10 degrees or 5 degrees in more detail). You may set a vector.

Further, the case where the curved tree is viewed from the front direction is shown, but not only from such one direction, but also from a plurality of directions (front direction, right side and left side orthogonal to the front direction, and opposite side to the front direction). The above-mentioned data sequences may be compared in four directions in the back side direction, or two directions in the right side direction or the left side direction orthogonal to the front direction. In this case, if the data string in forest Z is included in the data string in forest A in multiple directions, or if the data string in forest Z matches the data string in forest A, the data string in forest Z in only one direction. Can be determined to have a higher degree of similarity than when is included in the data string in forest A, or when the data string in forest Z matches the data string in forest A.

The above-mentioned simple method for determining whether the information on the curved tree in the forest Z is similar to the feature amount of the curved tree selected (purchased) by the user in the forest A is not limited to this. A known pattern matching technique for comparison can also be performed using AI (artificial intelligence).

Next, FIG. 2 shows an explanatory diagram of the conventional flow of market information and the flow of market information in the forest resource distribution management system according to the embodiment of the present invention.

The conventional flow of market information is from customers (users) located upstream, to sales companies, designers, woodworkers, lumber industry (traders), and forestry (mountain owners / forestry workers) located downstream. It was.

On the other hand, the flow of market information in the forest resource distribution management system according to this embodiment is
The forestry (mountain owner / forestry) is located upstream so that the marketing function is placed in the forestry (mountain owner / forestry). In other words, from the place closest to the customer located upstream, the forestry industry (mountain owner / forestry worker), the designer, the sales company, the woodworker, and then the lumber industry (trader) located downstream. In addition, customers (users) may be directly connected to designers who recognize the forestry industry (mountain owners / forestry workers).

According to the flow of market information in the forest resource distribution management system according to the present embodiment, it is possible to directly appeal the forest trees owned by the mountain owner and the forestry trader (forestry worker) to the user (customer). In this way, according to the present embodiment, the forestry industry can be transformed from a cost center to a profit center.

In the above-described embodiment, the management server 301 transmits the logging procedure information or the sales forecast information as the third information to the forestry worker or the mountain owner based on the second information with respect to the first information. Is considered to be more preferred. That is, the logging procedure information is transmitted to the forestry worker, or the sales forecast information is sent to the mountain owner or the forestry worker. Of course, logging procedure information can be sent to the forestry worker, and sales forecast information can be sent to the mountain owner or the forestry worker.

As described above, according to the present embodiment, it is possible to provide a forest resource distribution management system that is beneficial to both the user (customer) who orders trees as forest resources and the mountain owner or forestry worker who manages the forest. Furthermore, according to this embodiment, not only designers involved in furniture or remodeling, but also all designers involved in wood design, including architecture and decorations, can create new creations in the process of deciding the design together with the user (customer). By being inspired, it can be a useful forest resource distribution management system. That is, it can be a forest resource distribution management system that is useful for all designers who use wood as a material.

It should be noted that the present invention is not limited to the above-described embodiment, but includes modified examples appropriately modified within the scope of the gist of the present invention. For example, in the above-described embodiment as the first information, the information includes the image before cutting the tree, but the information does not include the image (only the data whose bending condition can be recognized by the user) or the information only for the image. You may.

In the above-described embodiment, the forest three-dimensional measurement system "OWL (registered trademark)" equipped with a GPS receiver is used as the forest measuring device 302, but the accuracy is to some extent even if the GPS receiver is not operated. You can get tree information with. Further, the same tree information may be acquired by using a forest measuring instrument (using a different measuring method or software program) different from "OWL (registered trademark)".

Furthermore, VR (virtual reality), AR (augmented reality), and MR (mixed reality) are presented to the user (customer) based on the photograph (image) by AI (artificial intelligence), and the user (customer) himself Alternatively, it is possible to consult with the designer to select the desired tree.

Further, regarding the transmission of the first information to the user and the reception of the information to be transmitted by selecting the tree desired by the user as the second information, the information to be transmitted to the user is the information from the acquisition means (first). It suffices if it is substantially the same as the information in). Of course, they may be exactly the same. On the other hand, the rough video information that is open to the public and can be viewed on the SNS and HP (homepage) sites described in d of FIG. 1 is exactly the same as the information from the acquisition means (first information). It is not, and it is not substantially the same (the amount of information is considerably reduced with respect to the first information).

Although the forest resource distribution management system according to the embodiment of the present invention has been described, the present invention is not limited to the forest resource distribution management system, and can be an embodiment as a forest resource distribution management method and a program used therein.

301 ... Management server, 302 ... Forest measuring instrument, 303 ... Furniture / remodeling company, 304 ... Mobile terminal, 305 ... Mountain owner / Forestry, 320 ... Feature similarity judgment unit

Claims (9)

A forest resource distribution management system with a management server
The management server
Trees in a predetermined section of a forest managed by a mountain owner or a forestry worker are targeted for cutting by a forestry worker, and information from an acquisition means for acquiring information before cutting of each tree in the predetermined section is received as the first information. Accumulating data and
Among the first information, the information selected by the user as the desired tree is received so as to include at least the second information, and the data is accumulated so that it can be determined whether the tree is recognized as the waste material to be disposed of. To do and
Accumulating the price data of the selected tree calculated from the price of the finished product using the tree selected as the tree desired by the user, and
When acquiring information before cutting of each tree by the above acquisition means for a tree in a predetermined section in a forest newly managed by a mountain owner or a forestry worker.
Among the second information in which data has been accumulated, a tree that has been recognized as a waste material to be disposed of and has a characteristic amount similar to that of the selected tree, and a tree for which information has been newly acquired is to be distributed. Sales provided to forestry workers or mountain owners by adding the logging procedure information provided to forestry workers and the price based on the price data calculated from the price of the finished product as the price of the distribution target. A forest resource distribution management system characterized in that at least one of the forecast information is provided as a third information, and at least one of them is executed. A claim characterized in that the tree desired by the user is selected by the user together with at least the designer among the designer involved in the wood design in furniture or remodeling, architecture, or decoration, and the forestry worker. The forest resource distribution management system according to 1. The tree desired by the user is selected by the user together with the designer involved in the wood design in furniture or remodeling, architecture, or decoration, and the forestry worker.
The forest resource distribution management system according to claim 1, wherein the accumulated second information includes determination of acceptance / rejection of each of the designer and the forestry worker. The forest resource distribution management system according to any one of claims 1 to 3, wherein the forest resource distribution management system has the acquisition means. The management server is configured to send an outline of the first information to the market via SNS, collect reactions from the market, and analyze the value of trees in the predetermined plot. The forest resource distribution management system according to any one of claims 1 to 4, which is characterized. The forest resource distribution management system according to any one of claims 1 to 5, wherein the acquisition means acquires a 360-degree image in which the diameter and height of each tree and the degree of bending can be recognized by the user. .. The third information includes logging procedure information provided to forestry workers.
The forest resource distribution management system according to any one of claims 1 to 6, further comprising an automatic logging machine that performs automatic logging based on the logging procedure information provided to a forestry worker. It is a forest resource distribution management method
The management server targets the trees in a predetermined section of the forest managed by the mountain owner or the forestry worker for cutting by the forestry worker, and the information from the acquisition means for acquiring the information before cutting of each tree in the predetermined section is the first. Steps to receive as information and accumulate data,
Whether the management server receives the first information so as to include at least the information selected by the user as the desired tree as the second information and recognizes the tree as the waste material to be disposed of. Steps to accumulate data in a distinguishable manner and
A step in which the management server accumulates price data of the selected tree, which is calculated from the price of a finished product using the tree selected as the tree desired by the user.
When acquiring information before cutting of each tree by the above acquisition means for a tree in a predetermined section in a forest newly managed by a mountain owner or a forestry worker.
The management server is a tree recognized as a waste material to be disposed of in the second information in which data is accumulated, and new information is acquired whose characteristic amount is similar to that of the selected tree. The forestry or mountain owner adds the logging procedure information provided to the forestry so that the trees are to be distributed, and the price based on the price data calculated from the price of the finished product as the price of the distribution target. The step of providing at least one of the sales forecast information provided to the third information, and
A forest resource distribution management method characterized by being equipped with. On the management server
Trees in a predetermined section of a forest managed by a mountain owner or a forestry worker are targeted for cutting by a forestry worker, and information from an acquisition means for acquiring information before cutting of each tree in the predetermined section is received as the first information. Steps to accumulate data and
Among the first information, the information selected by the user as the desired tree is received so as to include at least the second information, and the data is accumulated so that it can be determined whether the tree is recognized as the waste material to be disposed of. Steps to do and
A step of accumulating price data of the selected tree, which is calculated from the price of a finished product using the tree selected as the tree desired by the user, and
When acquiring information before cutting of each tree by the above acquisition means for a tree in a predetermined section in a forest newly managed by a mountain owner or a forestry worker.
Among the second information accumulated in the data, a tree recognized as a waste material to be disposed of and having a characteristic amount similar to that of the selected tree, and a newly acquired tree to be distributed is targeted for distribution. Sales provided to forestry workers or mountain owners by adding the logging procedure information provided to forestry workers and the price based on the price data calculated from the price of the finished product as the price of the distribution target. The step of providing at least one of the forecast information as the third information,
A program characterized by at least executing.

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