CN109146177A - A kind of electric line screen of trees prediction technique and device - Google Patents
A kind of electric line screen of trees prediction technique and device Download PDFInfo
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Abstract
The application provides a kind of electric line screen of trees prediction technique and device, in this method, the conditional parameter of measured tree is obtained first, measured tree with different condition parameter is when predicting growing height using different growth rate values, according to current trees height and growth rate value, trees Height Prediction value of the measured tree after preset time period can be calculated.This method passes through the mapping relations of conditional parameter and growth rate value, i.e. by presetting mapping table, the different growth rate values for obtaining the trees under different affecting factors (such as tree families, the age of tree, height above sea level), to be quantified and be brought into calculating the influence factor of arboreal growth such as tree families, the age of tree, height above sea level.Due to having quantified many influence factors of arboreal growth by presetting mapping table, thus pass through this method, it can accurately predict the growing state of trees, improve the accuracy and accuracy of screen of trees prediction result, and then the development for screen of trees cleaning work provides guidance.
Description
Technical field
This application involves electric line screen of trees cleaning field more particularly to a kind of electric line screen of trees prediction technique and
Device.
Background technique
In the area that tree growth is vigorous, all kinds of landscape trees are grown below the route of power transmission and distribution throughout the year.With the time
Passage, the height of trees increases, branch or leaf is easy and wiring circuit contact, causes the peaces such as route electric shock short circuit and line tripping
Full problem.It needs that the arboreal growth situation around route is monitored and is predicted thus, to be cleared up in time screen of trees,
The safety and stability of security system road transport row.
In the prior art, the monitoring to arboreal growth situation and prediction are frequently with the method calculated by growth equation.It is logical
The method of outgrowth equation calculation refers to existing wood growth equation model, is calculated according to growth equation default in future
The height of trees after period.Currently used wood growth equation is as follows:In formula: H
(t) the trees height after preset time period t, H are indicated0Indicating current trees height, t indicates the duration of preset time period,
Indicate the average growth rate of trees, k is factor coefficient.Wherein,For constant, variety classes, the age of tree or different altitude height
Trees be all made of same average growth rateIt is calculated.By growth equation, can predict trees it is following some when
Between, the trees height such as after 1 month or after 1 year.According to the above method, staff be can be realized to arboreal growth around route
The monitoring and prediction of situation, to carry out preconsolidation stress and the preparation of screen of trees cleaning work according to the predicted growth situation of trees.
When using existing wood growth equation, for the value of factor coefficient k, generally taking k is fixed value, such as is taken
K=1.If taking k=1, wood growth equation is represented byIt can be seen that trees are over time
And when growing and generating the variation of height, the pace of change of height is average growth rateAnd if variety classes, the different age of trees
Or the average growth rate of the trees in different altitude heightAll take same numeric constant, then variety classes, the different age of tree or
The height change speed of each trees in different altitude height is identical, and the prediction result obtained accordingly does not obviously meet practical feelings
Condition differs larger with actual arboreal growth situation.As it can be seen that growth equation when factor coefficient k value is fixed value, it will not tree
The influence factors such as type, the age of tree, the height above sea level of wood are embodied in growth equation, are caused according to the calculated prediction of growth equation
As a result differ larger with actual arboreal growth situation, the accuracy of prediction result is lower.Therefore according to existing arboreal growth
The method that equation carries out screen of trees prediction, has that prediction result accuracy is lower, can not be in actual screen of trees fettler
It is applied in work.
Summary of the invention
The application provides a kind of electric line screen of trees prediction technique and device, to solve in the prior art, according to existing
Wood growth equation carry out screen of trees prediction when the lower problem of existing prediction result accuracy.
The application's in a first aspect, provide a kind of electric line screen of trees prediction technique, comprising:
The conditional parameter of measured tree is obtained, and the conditional parameter is made to form parameter group, the conditional parameter includes: tree
The wooden type, the age of tree and height above sea level;
Growth rate value corresponding with the parameter group is obtained from default mapping table;
According to current trees height and the growth rate value, it is high to calculate trees of the measured tree after preset time period
Degree.
Optionally, before obtaining growth rate value corresponding with the parameter group in default mapping table, further includes:
According to the mapping relations of conditional parameter each in the parameter group and the growth rate value of trees, default mapping is established
Table, record has the one-to-one relationship between parameter group and growth rate value in the default mapping table.
Optionally, the current trees height of the basis and the growth rate value calculate measured tree after time interval
Trees height, comprising:
It is calculate by the following formula: H (t)=H0+vi*t;
Wherein, H0Indicate current trees height, t indicates the duration of the preset time period, and H (t) is indicated described default
Trees height after time period t, viIndicate that the corresponding growth rate value of i parameter group, the i parameter group are the measured tree
Parameter group.
Optionally, according to current trees height and the growth rate value, measured tree is calculated after preset time period
Trees height after, further includes:
Compare the size of the trees height and default alarm threshold, if the trees height is greater than the default alarm
Threshold value then issues warning information.
Optionally, before issuing warning information, further includes:
The form of the warning information is set, the form includes the numeric form and arboreal growth situation of trees height
Schematic form.
The second aspect of the application provides a kind of electric line screen of trees prediction meanss, comprising: the first input mould
Block obtains module, the second input module and computing module;
First input module for inputting the conditional parameter of measured tree, and makes the conditional parameter form parameter
Group;
The acquisition module, for obtaining growth rate value corresponding with the parameter group from default mapping table;
Second input module, for inputting current trees height and the growth rate value;
The computing module, for calculating measured tree default according to current trees height and the growth rate value
Trees height after period.
Optionally, described device further include:
Module is constructed, for obtaining growth corresponding with the parameter group from default mapping table in the acquisition module
Before rate value, according to the mapping relations of conditional parameter each in the parameter group and the growth rate value of trees, default reflect is established
Firing table.
Optionally, described device further include:
Memory module, for storing the default mapping table and default alarm threshold.
Optionally, described device further include:
Judgment module, the size for the trees height and default alarm threshold;
Output module issues warning information if being greater than the default alarm threshold for the trees height.
Optionally, described device further include:
Setting module, for setting the form of the warning information, institute before the judgment module issues warning information
The form of stating includes the numeric form of trees height and the schematic form of arboreal growth situation.
From the above technical scheme, the application provides a kind of electric line screen of trees prediction technique and device, this method
The conditional parameter of measured tree is obtained first, and the conditional parameter is made to form parameter group, and the conditional parameter includes: trees kind
Class, the age of tree and height above sea level;Then growth rate value corresponding with the parameter group is obtained from default mapping table;According to working as
Preceding trees height and the growth rate value, so that it may calculate trees Height Prediction of the measured tree after preset time period
Value.
In method provided by the present application, the measured tree with different condition parameter is when predicting growing height using difference
Growth rate value measured tree can be calculated after preset time period according to current trees height and the growth rate value
Trees Height Prediction value.This method passes through the mapping relations of conditional parameter and growth rate value, i.e., by presetting mapping table, obtains
The different growth rate values of the trees under different affecting factors (such as tree families, the age of tree, height above sea level) are taken, so that trees are raw
Long influence factor such as tree families, the age of tree, height above sea level are quantified and are brought into calculating.Due to passing through default mapping
Table has quantified many influence factors of arboreal growth, thus by this method, it can accurately predict the growth feelings of trees
Condition improves the accuracy and accuracy of screen of trees prediction result, and then the development for screen of trees cleaning work provides guidance.
Detailed description of the invention
In order to illustrate more clearly of the technical solution of the application, letter will be made to attached drawing needed in the embodiment below
Singly introduce, it should be apparent that, for those of ordinary skills, without creative efforts, also
Other drawings may be obtained according to these drawings without any creative labor.
Fig. 1 is a kind of workflow schematic diagram of electric line screen of trees prediction technique provided by the embodiments of the present application;
Fig. 2 is the workflow schematic diagram of another electric line screen of trees prediction technique provided by the embodiments of the present application;
Fig. 3 is a kind of structural schematic diagram of electric line screen of trees prediction meanss provided by the embodiments of the present application.
Specific embodiment
In order to make the above objects, features, and advantages of the present application more apparent, with reference to the accompanying drawing and it is specific real
Applying mode, the present application will be further described in detail.
Referring to the workflow schematic diagram of Fig. 1, a kind of transmission line of electricity screen of trees prediction technique provided by the embodiments of the present application, packet
Include following steps:
Step 101, the conditional parameter of measured tree is obtained, and the conditional parameter is made to form parameter group, the condition ginseng
Number includes: tree families, the age of tree and height above sea level.
Obtain the conditional parameter of measured tree, including tree families, the age of tree and height above sea level.Staff artificial observation tree
The type of wood, the implantation time of trees calculates the age of tree from related data, obtains sea locating for trees from the geographical location of trees
Degree of lifting.Apart from the above parameters, the conditional parameter can also include locating season, current trees diameter outside bark and affiliated gas
Wait band etc..Finally acquired parameters are arranged, one group of supplemental characteristic of characterization measured tree growth conditions is formed, that is, joins
Array.
Step 102, growth rate value corresponding with the parameter group is obtained from default mapping table.
Each parameter group has unique corresponding growth rate therewith, and records and the parameter group phase in default mapping table
Corresponding growth rate value.It can be seen that growth rate value from the determination process of growth rate value to be joined by the condition in parameter group
The influence of number such as tree families, the age of tree and height above sea level, different conditional parameters, i.e., different tree families, the age of tree and height above sea level
Trees under the conditions of height have different growth rate values.Growth rate value is determined by default mapping table, by arboreal growth
Influence factor such as tree families, the age of tree, height above sea level etc. is quantified.
Step 103, according to current trees height and the growth rate value, measured tree is calculated after preset time period
Trees height.
In this step, staff can obtain the height value of current trees by field survey, pass through previous step 102
The growth rate value of measured tree is obtained, trees height of the measured tree after preset time period is then calculated.
In one implementation, this section of preset time period can be can be obtained by growth rate value multiplied by preset time period
Trees growing height, growing height adds the numerical value after current trees height, and trees as after preset time period are high
Degree.Specifically, can be calculate by the following formula: H (t)=H0+vi*t;
Wherein, H0Indicate current trees height, t indicates the duration of the preset time period, and H (t) is indicated described default
Trees height after time period t, viIndicate that the corresponding growth rate value of i parameter group, the i parameter group are the measured tree
Parameter group.
The application first embodiment provides a kind of transmission line of electricity screen of trees prediction technique, the tested tree with different condition parameter
Wood when predicting growing height using different growth rate values, according to current trees height and the growth rate value
Calculate trees Height Prediction value of the measured tree after preset time period.This method is reflected by conditional parameter and growth rate value
Relationship is penetrated, i.e., by presetting mapping table, obtaining the trees under different affecting factors (such as tree families, the age of tree, height above sea level)
Different growth rate values, so that influence factor of arboreal growth such as tree families, the age of tree, height above sea level etc. be quantified and received
Enter into calculating.It, can due to having quantified many influence factors of arboreal growth by presetting mapping table, thus by this method
The accurately growing state of prediction trees improves the accuracy and accuracy of screen of trees prediction result, and then clears up for screen of trees
The development of work provides guidance.
Workflow schematic diagram referring to fig. 2, the application second embodiment provide another transmission line of electricity screen of trees prediction side
Method.
Step 201, the conditional parameter of measured tree is obtained, and the conditional parameter is made to form parameter group, the condition ginseng
Number includes: tree families, the age of tree and height above sea level.
Step 202, it according to the mapping relations of conditional parameter each in the parameter group and the growth rate value of trees, establishes pre-
If mapping table, record has the one-to-one relationship between parameter group and growth rate value in the default mapping table.
In this step, the mapping relations of the growth rate value of each conditional parameter and trees are represented by following in parameter group
Formula:
Wherein, ktiIndicate the corresponding i trees type of i parameter group, ag indicates the age of tree of measured tree, and al indicates tested
The height above sea level of trees present position;table(kti, ag, al) it is default mapping table, i.e., different tree families, the age of tree and sea
Arboreal growth Speedometer Drive under the conditions of degree of lifting indicates different tree families, the age of tree, height above sea level condition and arboreal growth rate
Mapping relations.Pass through the investigation retrieval to arboreal growth pertinent literature and the arrangement point to arboreal growth relevant historical data
Analysis, the mapping relations of set up the condition parameter and growth rate value.It, can be high in next trees by using default mapping table
It spends in predictor calculation, using different growth rate viThe growing height of different condition trees is predicted.
Step 203, growth rate value corresponding with the parameter group is obtained from default mapping table.
Step 204, according to current trees height and the growth rate value, measured tree is calculated after preset time period
Trees height.
Step 205, the form of warning information is set, the form includes the numeric form and arboreal growth feelings of trees height
The schematic form of condition.
In this step, there are many forms for warning information.When exporting result, the trees height being calculated can be only shown
Numerical value, i.e., only show number in the display interface;It can also be using more intuitively simulation diagram form, by the trees height of prediction
Embodiment in the form of picture, draws out the trees of corresponding height and draws transmission line of electricity, reference line etc. as reference in the figure
Object indicates that the growing state in trees future will be more than that a certain altitude datum line or display trees are in contact with transmission line of electricity
Scene;Line map be can be combined with to indicate warning information, such as sent out with the screen of trees that red point indicates prediction on map
The specific location of Radix Rehmanniae, with the position of green point trees of normal growth near other transmission lines of electricity of ground chart display.
Step 206, the size of the trees height and default alarm threshold, if the trees height is greater than described
Default alarm threshold, then issue warning information.Wherein, when issuing warning information, using warning information set by step 205
The publication of form progress warning information.
In this step, 204 trees height can be calculated through the above steps, after predicting trees height, described in comparison
The size of trees height and default alarm threshold.If trees height is greater than default alarm threshold, warning information is issued;If
The trees height is not more than default alarm threshold, then does not issue warning information.Above-mentioned determination method can be expressed as follows:
Wherein, HthiTo preset alarm threshold.The height that different transmission line of electricity tower bars are set up is different, to the height of screen of trees cleaning
Degree requires also difference, and the size of default alarm threshold can be cleared up according to specific screen of trees to be required to be set.In this step,
Before carrying out screen of trees prediction, if the size of the default alarm threshold is not set, it is possible to use the alarm threshold of default
HthdTo replace Hthi;If this method is applied to the H in computer programthdIt can deposit in memory module, at the beginning of system
It is set when beginningization.
It, can also be by parameters such as setting preset time period, tree families and growing heights, automatically after issuing warning information
Felling plan and recommendation are generated, to provide guidance for screen of trees cleaning work.
Wherein the implementation process of step 201, step 203 and step 204 respectively with the application first implement in step
101, step 102, the implementation process of step 103 are identical, can refer to each other, details are not described herein again.
The application second embodiment provides another transmission line of electricity screen of trees prediction technique, in this method, constructs condition ginseng
Several default mapping tables with growth rate value;By using default mapping table, can be adopted in the calculating of trees Height Prediction value
With different growth rate viThe growing height of different condition trees is predicted, to solve in the prior art with average raw
Long rateWhen carrying out the calculating of arboreal growth Height Prediction with fixed value factor coefficient k, not by tree families, the age of tree and height above sea level
The factors such as degree are included in calculate in caused by the low problem of prediction result accuracy.Furthermore according to the trees Height Prediction value of calculating
Screen of trees risk is judged automatically with the default alarm threshold of setting, warning information is issued, can also be cut by further handling generation
Plan recommendation is cut down, provides guidance for screen of trees cleaning work.
Following is the application Installation practice, can be used for executing embodiment of the present invention method.For apparatus of the present invention reality
Undisclosed details in example is applied, embodiment of the present invention method is please referred to.
Referring to the structural schematic diagram of Fig. 3, a kind of electric line screen of trees prediction meanss that the application 3rd embodiment provides,
Described device includes: the first input module 10, obtains module 20, the second input module 30 and computing module 40.
First input module 10 for inputting the conditional parameter of measured tree, and makes the conditional parameter form ginseng
Array.
Wherein, the conditional parameter of input includes the influence factors such as tree families, the age of tree and height above sea level.Join in input condition
After number, arrange this series of parameters to form parameter group.
The acquisition module 20, for obtaining growth rate value corresponding with the parameter group from default mapping table.
Second input module 30, for inputting current trees height and the growth rate value.
The computing module 40, for calculating measured tree pre- according to current trees height and the growth rate value
If the trees height after the period.
Wherein, specific calculation method can refer to the explanation of the step 103 of the application first embodiment.
Optionally, described device further include:
Module 50 is constructed, for obtaining life corresponding with the parameter group from default mapping table in the acquisition module
Before long rate value, according to the mapping relations of conditional parameter each in the parameter group and the growth rate value of trees, establish default
Mapping table.
Wherein, the solution that specifically can refer to the step 202 of the application second embodiment for presetting the method for building up of mapping table
Release explanation.
Optionally, described device further include:
Memory module 60, for storing the default mapping table and default alarm threshold.
Wherein, after default mapping table is established by building module 50, default mapping table can be stored, works as needs
When obtaining growth rate value using default mapping table, then call from memory module 60.The size of default alarm threshold is by working
Numerical value, is stored in memory module 60 by personnel's setting after setting, is needing to compare the big of trees height and default alarm threshold
Hour, the value is called from memory module 60.
Optionally, described device further include:
Judgment module 70, the size for the trees height and default alarm threshold;
Output module 80 issues warning information if being greater than the default alarm threshold for the trees height.
Optionally, described device further include:
Setting module 90, for setting the shape of the warning information before the output module 70 issues warning information
Formula, the form include the numeric form of trees height and the schematic form of arboreal growth situation.
In the specific implementation, the application also provides a kind of computer storage medium, wherein the computer storage medium can store
There is program, which may include each implementation of a kind of electric line screen of trees prediction technique provided by the present application and device when executing
Step some or all of in example.The storage medium can be magnetic disk, CD, read-only memory (English: read-
Only memory, referred to as: ROM) or random access memory (English: random access memory, referred to as: RAM) etc..
It is required that those skilled in the art can be understood that the technology in the embodiment of the present application can add by software
The mode of general hardware platform realize.Based on this understanding, the technical solution in the embodiment of the present application substantially or
Say that the part that contributes to existing technology can be embodied in the form of software products, which can deposit
Storage is in storage medium, such as ROM/RAM, magnetic disk, CD, including some instructions are used so that computer equipment (can be with
It is personal computer, server or the network equipment etc.) execute certain part institutes of each embodiment of the application or embodiment
The method stated.
Same and similar part may refer to each other between each embodiment in this specification.Implement especially for device
For example, since it is substantially similar to the method embodiment, so being described relatively simple, related place is referring in embodiment of the method
Explanation.
Combine detailed description and exemplary example that the application is described in detail above, but these explanations are simultaneously
It should not be understood as the limitation to the application.It will be appreciated by those skilled in the art that without departing from the application spirit and scope,
A variety of equivalent substitution, modification or improvements can be carried out to technical scheme and embodiments thereof, these each fall within the application
In the range of.The protection scope of the application is determined by the appended claims.
Claims (10)
1. a kind of electric line screen of trees prediction technique characterized by comprising
The conditional parameter of measured tree is obtained, and the conditional parameter is made to form parameter group, the conditional parameter includes: trees kind
Class, the age of tree and height above sea level;
Growth rate value corresponding with the parameter group is obtained from default mapping table;
According to current trees height and the growth rate value, trees height of the measured tree after preset time period is calculated.
2. the method according to claim 1, wherein opposite with the parameter group being obtained from default mapping table
Before the growth rate value answered, further includes:
According to the mapping relations of conditional parameter each in the parameter group and the growth rate value of trees, default mapping table is established,
Record has the one-to-one relationship between parameter group and growth rate value in the default mapping table.
3. the method according to claim 1, wherein the current trees height of the basis and the growth rate
Value calculates trees height of the measured tree after time interval, comprising:
It is calculate by the following formula: H (t)=H0+vi*t;
Wherein, H0Indicate current trees height, t indicates the duration of the preset time period, and H (t) is indicated in the preset time period
Trees height after t, viIndicate that the corresponding growth rate value of i parameter group, the i parameter group are the parameter of the measured tree
Group.
4. the method according to claim 1, wherein according to current trees height and the growth rate value,
After trees height of the calculating measured tree after preset time period, further includes:
Compare the size of the trees height and default alarm threshold, if the trees height is greater than the default alarm threshold
Value, then issue warning information.
5. according to the method described in claim 4, it is characterized in that, before issuing warning information, further includes:
The form of the warning information is set, the form includes the numeric form of trees height and the signal of arboreal growth situation
Diagram form.
6. a kind of electric line screen of trees prediction meanss characterized by comprising the first input module obtains module, is second defeated
Enter module and computing module;
First input module for inputting the conditional parameter of measured tree, and makes the conditional parameter form parameter group;
The acquisition module, for obtaining growth rate value corresponding with the parameter group from default mapping table;
Second input module, for inputting current trees height and the growth rate value;
The computing module, for calculating measured tree in preset time according to current trees height and the growth rate value
Trees height after section.
7. device according to claim 6, which is characterized in that further include:
Module is constructed, for obtaining growth rate corresponding with the parameter group from default mapping table in the acquisition module
Before value, according to the mapping relations of conditional parameter each in the parameter group and the growth rate value of trees, default mapping table is established.
8. device according to claim 6, which is characterized in that further include:
Memory module, for storing the default mapping table and default alarm threshold.
9. device according to claim 8, which is characterized in that further include:
Judgment module, the size for the trees height and default alarm threshold;
Output module issues warning information if the trees height is greater than the default alarm threshold.
10. device according to claim 9, which is characterized in that further include:
Setting module, for setting the form of the warning information, the shape before the judgment module issues warning information
Formula includes the numeric form of trees height and the schematic form of arboreal growth situation.
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110501720A (en) * | 2019-09-20 | 2019-11-26 | 云南电网有限责任公司电力科学研究院 | A kind of transmission of electricity corridor screen of trees monitoring system based on air remote sensing |
CN110647935A (en) * | 2019-09-23 | 2020-01-03 | 云南电网有限责任公司电力科学研究院 | Method and device for predicting tree growth trend in power transmission line area |
CN111340317A (en) * | 2020-05-19 | 2020-06-26 | 北京数字绿土科技有限公司 | Automatic early warning method for tree obstacle hidden danger of overhead transmission line and electronic equipment |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103440595A (en) * | 2013-07-31 | 2013-12-11 | 广东电网公司清远供电局 | Method for recording hidden danger of trees |
CN104463353A (en) * | 2014-11-20 | 2015-03-25 | 广东电网有限责任公司河源供电局 | Intelligent prediction method for ultra-high plant safe distance of overhead transmission line |
CN105069287A (en) * | 2015-07-27 | 2015-11-18 | 广西电网有限责任公司电力科学研究院 | Prediction method of forest growth of overhead transmission line passageway |
CN105447623A (en) * | 2015-11-12 | 2016-03-30 | 北京林业大学 | Tree obstacle hidden trouble automatic pre-warning system for overhead transmission line and pre-warning method for above system |
CN105447625A (en) * | 2015-11-12 | 2016-03-30 | 北京林业大学 | Automatic identification method for tree obstacle hidden troubles of overhead transmission line passage way |
CN106779170A (en) * | 2016-11-22 | 2017-05-31 | 国网安徽省电力公司 | A kind of method and device of automatic discrimination passage screen of trees hidden danger |
CN107103599A (en) * | 2017-04-06 | 2017-08-29 | 云南电网有限责任公司电力科学研究院 | A kind of transmission line of electricity trees hidden danger prediction analysis method based on LiDAR |
-
2018
- 2018-08-23 CN CN201810965793.9A patent/CN109146177B/en active Active
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103440595A (en) * | 2013-07-31 | 2013-12-11 | 广东电网公司清远供电局 | Method for recording hidden danger of trees |
CN104463353A (en) * | 2014-11-20 | 2015-03-25 | 广东电网有限责任公司河源供电局 | Intelligent prediction method for ultra-high plant safe distance of overhead transmission line |
CN105069287A (en) * | 2015-07-27 | 2015-11-18 | 广西电网有限责任公司电力科学研究院 | Prediction method of forest growth of overhead transmission line passageway |
CN105447623A (en) * | 2015-11-12 | 2016-03-30 | 北京林业大学 | Tree obstacle hidden trouble automatic pre-warning system for overhead transmission line and pre-warning method for above system |
CN105447625A (en) * | 2015-11-12 | 2016-03-30 | 北京林业大学 | Automatic identification method for tree obstacle hidden troubles of overhead transmission line passage way |
CN106779170A (en) * | 2016-11-22 | 2017-05-31 | 国网安徽省电力公司 | A kind of method and device of automatic discrimination passage screen of trees hidden danger |
CN107103599A (en) * | 2017-04-06 | 2017-08-29 | 云南电网有限责任公司电力科学研究院 | A kind of transmission line of electricity trees hidden danger prediction analysis method based on LiDAR |
Non-Patent Citations (3)
Title |
---|
丁家淮,等.: "由树木自然生长高度谈输电线路通道清障", 《宿州学院学报》 * |
胡海斌,等.: "输电线路通道树木隐患点预警平台的研发", 《广西电力》 * |
黄维,等.: "架空输电线路走廊树障隐患动态管理及预警分析", 《广西电力》 * |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110501720A (en) * | 2019-09-20 | 2019-11-26 | 云南电网有限责任公司电力科学研究院 | A kind of transmission of electricity corridor screen of trees monitoring system based on air remote sensing |
CN110647935A (en) * | 2019-09-23 | 2020-01-03 | 云南电网有限责任公司电力科学研究院 | Method and device for predicting tree growth trend in power transmission line area |
CN110647935B (en) * | 2019-09-23 | 2023-07-25 | 云南电网有限责任公司电力科学研究院 | Method and device for predicting tree growth trend in power transmission line area |
CN111340317A (en) * | 2020-05-19 | 2020-06-26 | 北京数字绿土科技有限公司 | Automatic early warning method for tree obstacle hidden danger of overhead transmission line and electronic equipment |
CN111340317B (en) * | 2020-05-19 | 2021-04-13 | 北京数字绿土科技有限公司 | Automatic early warning method for tree obstacle hidden danger of overhead transmission line and electronic equipment |
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