CN109886505A - A kind of forestry field investigation routing method - Google Patents
A kind of forestry field investigation routing method Download PDFInfo
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- CN109886505A CN109886505A CN201910183638.6A CN201910183638A CN109886505A CN 109886505 A CN109886505 A CN 109886505A CN 201910183638 A CN201910183638 A CN 201910183638A CN 109886505 A CN109886505 A CN 109886505A
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Abstract
The invention proposes a kind of forestry field investigation routing methods, are related to Forestry Investigation technical field, which comprises determining that each points for investigation position of forestry field investigation；Each points for investigation is connected and composed into investigation route network；Route data is investigated according to history, determines the route empirical value of each route；Wherein, the route empirical value indicates to select the preference gradations of the route；According to the atural object of each route by difficulty or ease grade, terrain slope, distance and route empirical value, the route index of each route is determined；According to starting points for investigation, route index, field investigation route is selected, so that the general line index of selection route is minimum.The present invention can select forestry field investigation route, foundation and reference are provided for science selection field investigation route, the limitation for overcoming Conventional wisdom method and theoretical calculation to a certain extent helps to reduce the field investigation working time and improves field investigation working efficiency.
Description
Technical field
The present invention relates to Forestry Investigation technical field more particularly to a kind of forestry field investigation routing methods.
Background technique
Forest resourceies are the important component parts of natural resources, and forestry industry is in national economy in occupation of important ground
Position, forestry field investigation are even more the essential work of Investigation Forestry Resources.Currently, the selection of forestry field investigation route
Mostly from it is theoretical and by virtue of experience from the point of view of, having some limitations property, it is difficult to which preferable selection is made to investigation route.
Summary of the invention
Technical problem to be solved by the present invention lies in, currently, the selection of forestry field investigation route mostly from theory and with
From the point of view of experience, having some limitations property, it is difficult to which preferable selection is made to investigation route.
The forestry field investigation routing method includes:
Determine each points for investigation position of forestry field investigation；
Each points for investigation is connected and composed into investigation route network；
Route data is investigated according to history, determines the route empirical value of each route；Wherein, the route empirical value indicates
Select the preference gradations of the route；
According to the atural object of each route by difficulty or ease grade, terrain slope, distance and route empirical value, each route is determined
Route index；
According to starting points for investigation, route index, field investigation route is selected, so that the general line of selection route refers to
Number is minimum.
Further, the atural object is determined by difficulty or ease grade according to topographic map, remote sensing image or unmanned plane image.
Further, the terrain slope is determined by digital elevation model.
Further, field investigation route is selected specifically: carry out optimal route selection using A* algorithm.
Further, the distance of each route uses two-dimensional surface linear distance.
Further, the atural object according to each route passes through difficulty or ease grade, terrain slope, distance and route experience
Value, determines that the route index of each route specifically includes:
The atural object of each route is divided into 5 grades by difficulty or ease grade, terrain slope, route empirical value, and determines 5
The corresponding fuzzy value of a grade；
The distance of each route is normalized；Wherein, calculation formula is as follows:
In formula, Di, Dmin, DmaxDistance between respectively i-th two points for investigation, the most narrow spacing in route network between two points for investigation
From and maximum distance, ln indicate natural logrithm；
The atural object of each route is passed through into difficulty or ease grade, terrain slope, the corresponding fuzzy value of route empirical value and route
The normalized value of distance is converted into Vague value, and calculation formula is as follows:
In formula, acotd indicates arc cotangent, and t, f are respectively that the true degree of membership of Vague collection and false degree of membership, r pass through for atural object
The normalized value of difficulty or ease grade, the fuzzy value of terrain slope and route empirical value and route distance；
Setting reference point P, Vague a value is [tP, 1-fP], calculation formula is as follows:
In formula, number of routes of the m between two points for investigation, min expression takes small；
In every route, the atural object for calculating separately Vague set representations passes through difficulty or ease grade, terrain slope, route experience
Value and the Vague collection distance M between route distance and reference point P, calculation formula are as follows:
In formula,
tj, fj, πjIt (j=1,2,3,4) is respectively the atural object of Vague set representations by difficulty or ease grade, terrain slope, route
The true degree of membership of empirical value and route distance, false degree of membership and unknown degree, tP, fP, πPThe respectively true degree of membership of reference point P, vacation
Degree of membership and unknown degree；
In every route, route index is calculated according to Vague collection distance M, route index RI calculation formula is as follows:
In formula, number of routes of the m between two points for investigation, i indicates i-th route, tj, fj(j=1,2,3,4) it is respectively
The atural object passability costs of Vague set representations, terrain slope, the true degree of membership of route empirical value and route distance and vacation are subordinate to
Degree.
Further, atural object is divided by the corresponding fuzzy value of 5 grades of difficulty or ease grade, terrain slope, route empirical value
Not are as follows: 0.1,0.25,0.5,0.75,0.9.
The invention proposes a kind of forestry field investigation routing method, according to route exponent pair field investigation route into
Row optimum choice, wherein the factors such as difficulty or ease grade, terrain slope, distance and route empirical value are contained in route index.This hair
It is bright forestry field investigation route to be selected, foundation and reference are provided for science selection field investigation route, in certain journey
The limitation that Conventional wisdom method and theoretical calculation are overcome on degree helps to reduce the field investigation working time and improves field
Investigation work efficiency.
Detailed description of the invention
Fig. 1 is the schematic diagram of the investigation route network shown in an exemplary embodiment.
Fig. 2 is a kind of flow chart of forestry field investigation routing method shown in an exemplary embodiment.
Specific embodiment
Following is a specific embodiment of the present invention in conjunction with the accompanying drawings, technical scheme of the present invention will be further described,
However, the present invention is not limited to these examples.
Fig. 1 is the schematic diagram of the investigation route network shown in an exemplary embodiment.Include in figure points for investigation 1,2,3,
4,5,6.It include a plurality of route between two points for investigation.
The present invention is used to select route between starting points for investigation, to reduce the field investigation working time and improve wild
External survey working efficiency.
Fig. 2 is a kind of flow chart of forestry field investigation routing method shown in an exemplary embodiment；The forestry
Field investigation routing method includes:
Step S201 determines each points for investigation position of forestry field investigation.
Each points for investigation is connected and composed investigation route network by step S202.
As shown in Figure 1, investigation route network includes multiple points for investigation.Route is investigated to need to cover in investigation route network
Each points for investigation.
Step S203 investigates route data according to history, determines the route empirical value of each route；Wherein, the route
Empirical value indicates to select the preference gradations of the route.
Route data can be investigated according to history determines that investigator to the preference gradations of investigation route, can indicate by virtue of experience to practise
The used preference for selecting the route；As shown in the table, 5 grades can be divided into the preference gradations of a certain investigation route；
Table 1, the preference gradations of route empirical value
Step S204, according to the atural object of each route by difficulty or ease grade, terrain slope, distance and route empirical value, really
The route index of fixed each route.
Further, the atural object is determined by difficulty or ease grade according to topographic map, remote sensing image or unmanned plane image.
Further, the terrain slope is determined by digital elevation model.
Further, the distance of each route uses two-dimensional surface linear distance.
It should be noted that route index, which is contained, passes through difficulty or ease grade, terrain slope, distance and route warp including atural object
Test numerous influence factors including value.
The atural object according to each route is determined each by difficulty or ease grade, terrain slope, distance and route empirical value
The route index of route specifically includes:
The atural object of each route is divided into 5 grades by difficulty or ease grade, terrain slope, route empirical value, and determines 5
The corresponding fuzzy value of a grade；
Specifically, classification is ranked up according to complexity, can is 5 grades by difficulty or ease grade classification by atural object, such as
Shown in following table:
Table 2, atural object pass through difficulty or ease grade
5 grades are determined according to value of slope range.
Table 3, value of slope range level
The atural object of each route is expressed as 5 according to grade by difficulty or ease grade, terrain slope, route empirical value to obscure
Value；Atural object by difficulty or ease grade, terrain slope, route empirical value the corresponding fuzzy value of 5 grades be respectively as follows: 0.1,0.25,
0.5,0.75,0.9, as shown in the table:
Table 4, degree (grade) are expressed as fuzzy value
The distance of each route is normalized；Wherein, calculation formula is as follows:
In formula, Di, Dmin, DmaxDistance between respectively i-th two points for investigation, the most narrow spacing in route network between two points for investigation
From and maximum distance, ln indicate natural logrithm；
The atural object of each route is passed through into difficulty or ease grade, terrain slope, the corresponding fuzzy value of route empirical value and route
The normalized value of distance is converted into Vague value, and calculation formula is as follows:
In formula, acotd indicates arc cotangent, and t, f are respectively that the true degree of membership of Vague collection and false degree of membership, r pass through for atural object
The normalized value of difficulty or ease grade, the fuzzy value of terrain slope and route empirical value and route distance；
Setting reference point P, Vague a value is [tP, 1-fP], calculation formula is as follows:
In formula, number of routes of the m between two points for investigation, min expression takes small；
In every route, the atural object for calculating separately Vague set representations passes through difficulty or ease grade, terrain slope, route experience
Value and the Vague collection distance M between route distance and reference point P, calculation formula are as follows:
In formula,
tj, fj, πjIt (j=1,2,3,4) is respectively the atural object of Vague set representations by difficulty or ease grade, terrain slope, route
The true degree of membership of empirical value and route distance, false degree of membership and unknown degree, tP, fP, πPThe respectively true degree of membership of reference point P, vacation
Degree of membership and unknown degree；
In every route, route index is calculated according to Vague collection distance M, route index RI calculation formula is as follows:
In formula, number of routes of the m between two points for investigation, i indicates i-th route, tj, fj(j=1,2,3,4) it is respectively
The atural object passability costs of Vague set representations, terrain slope, the true degree of membership of route empirical value and route distance and vacation are subordinate to
Degree.
Step S205 selects field investigation route according to starting points for investigation, route index, so that selection route
General line index it is minimum.
Further, field investigation route is selected specifically: carry out optimal route selection using A* algorithm.
It should be noted that contained in route index difficulty or ease grade, terrain slope, distance and route empirical value etc. because
Element provides foundation and reference for science selection field investigation route.Conventional wisdom method and theoretical meter are overcome to a certain extent
The limitation of algorithm helps to reduce the field investigation working time and improves field investigation working efficiency.
Specific embodiment described herein is only an example for the spirit of the invention.The neck of technology belonging to the present invention
The technical staff in domain can make various modifications or additions to the described embodiments or replace by a similar method
In generation, however, it does not deviate from the spirit of the invention or beyond the scope of the appended claims.
Claims (7)
1. a kind of forestry field investigation routing method, which is characterized in that the forestry field investigation routing method includes:
Determine each points for investigation position of forestry field investigation；
Each points for investigation is connected and composed into investigation route network；
Route data is investigated according to history, determines the route empirical value of each route；Wherein, the route empirical value indicates selection
The preference gradations of the route；
According to the atural object of each route by difficulty or ease grade, terrain slope, distance and route empirical value, the road of each route is determined
Linear index；
According to starting points for investigation, route index, field investigation route is selected, so that the general line index of selection route is most
It is small.
2. forestry field investigation routing method according to claim 1, which is characterized in that the atural object passes through difficulty or ease
Grade is determined according to topographic map, remote sensing image or unmanned plane image.
3. forestry field investigation routing method according to claim 1, which is characterized in that the terrain slope passes through
Digital elevation model determines.
4. forestry field investigation routing method according to claim 1, which is characterized in that field investigation route into
Row selection specifically: carry out optimal route selection using A* algorithm.
5. forestry field investigation routing method according to claim 1, which is characterized in that the distance of each route is adopted
With two-dimensional surface linear distance.
6. forestry field investigation routing method according to claim 1, which is characterized in that described according to each route
Atural object by difficulty or ease grade, terrain slope, distance and route empirical value, determine that the route index of each route specifically includes:
The atural object of each route is divided into 5 grades by difficulty or ease grade, terrain slope, route empirical value, and determines 5 etc.
The corresponding fuzzy value of grade；
The distance of each route is normalized；Wherein, calculation formula is as follows:
In formula, Di, Dmin, DmaxDistance between respectively i-th two points for investigation, the minimum range in route network between two points for investigation and
Maximum distance, ln indicate natural logrithm；
The atural object of each route is passed through into difficulty or ease grade, terrain slope, the corresponding fuzzy value of route empirical value and route distance
Normalized value be converted into Vague value, calculation formula is as follows:
In formula, acotd indicates arc cotangent, and t, f are respectively the true degree of membership and false degree of membership of Vague collection, and r is that atural object passes through difficulty or ease
The normalized value of grade, the fuzzy value of terrain slope and route empirical value and route distance；
Setting reference point P, Vague a value is [tP, 1-fP], calculation formula is as follows:
In formula, number of routes of the m between two points for investigation, min expression takes small；
In every route, calculate separately the atural object of Vague set representations by difficulty or ease grade, terrain slope, route empirical value and
Vague collection distance M between route distance and reference point P, calculation formula are as follows:
In formula,
tj, fj, πjIt (j=1,2,3,4) is respectively the atural object of Vague set representations by difficulty or ease grade, terrain slope, route experience
The true degree of membership of value and route distance, false degree of membership and unknown degree, tP, fP, πPRespectively the true degree of membership of reference point P, vacation are subordinate to
Degree and unknown degree；
In every route, route index is calculated according to Vague collection distance M, route index RI calculation formula is as follows:
In formula, number of routes of the m between two points for investigation, i indicates i-th route, tj, fjIt (j=1,2,3,4) is respectively Vague collection
Atural object passability cost, the true degree of membership and false degree of membership of terrain slope, route empirical value and route distance of expression.
7. forestry field investigation routing method according to claim 6, which is characterized in that atural object passes through difficulty or ease etc.
Grade, terrain slope, route empirical value the corresponding fuzzy value of 5 grades be respectively as follows: 0.1,0.25,0.5,0.75,0.9.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN106092103A (en) * | 2016-08-18 | 2016-11-09 | 广东省交通规划设计研究院股份有限公司 | The air navigation aid of the field investigation of a kind of mountain area, prospecting and search and device |
| CN106096782A (en) * | 2016-06-15 | 2016-11-09 | 苏州清研捷运信息科技有限公司 | A kind of vehicle path planning method based on experience route |
| CN108446785A (en) * | 2018-01-31 | 2018-08-24 | 南京师范大学 | A kind of optimal visual overlay path planing method based on landform visible range |
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- 2019-03-12 CN CN201910183638.6A patent/CN109886505B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106096782A (en) * | 2016-06-15 | 2016-11-09 | 苏州清研捷运信息科技有限公司 | A kind of vehicle path planning method based on experience route |
| CN106092103A (en) * | 2016-08-18 | 2016-11-09 | 广东省交通规划设计研究院股份有限公司 | The air navigation aid of the field investigation of a kind of mountain area, prospecting and search and device |
| CN108446785A (en) * | 2018-01-31 | 2018-08-24 | 南京师范大学 | A kind of optimal visual overlay path planing method based on landform visible range |
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