A tree-differentiated obstacle removal prediction method for distribution network system application

Abstract

The tree differentiated obstacle removal prediction method applied to the distribution network system of the present invention is as follows: (1) After determining the tree species, confirm the average growth rate of the tree species corresponding to the four seasons; (2) Use a laser rangefinder to obtain the line and tree parameters: point A is the closest distance point between the tree and the line, the closest distance between the tree and the line m and the growth angle θ, and according to the current inspection date, calculate the latest time for clearing the trees next time according to the following method: (3) Determine whether there is a solution by the discriminant coefficient Δ; (4) Find the corresponding column of the quarter corresponding to the inspection date, input the previous growth time t0 and the previous growth amount L0 equal to 0, and then calculate the obstacle removal date according to the formula; (5) If the calculated obstacle removal date is the next quarter, it is necessary to calculate and fill in the previous growth time t0 and the previous growth amount L0 in the corresponding column of the next quarter, and then calculate the obstacle removal date according to the formula; (6) The obstacle removal date calculated ends when it is included in the corresponding quarter.

Description

Technical Field

[0001] The present invention relates to a tree-differentiated obstacle removal prediction method for distribution network system application, which is mainly used for tree removal prediction along overhead lines of power system. In the daily work of power system line operation and maintenance personnel, it is used as an auxiliary method to predict the tree removal time in advance. Background Art

[0002] At present, in the operation and maintenance of power systems, especially distribution network systems, the safe operation of lines is an important part of the work, and among them, it is crucial to ensure the safe and stable operation of overhead lines. At present, there are a large number of overhead lines in the power system, and residents often plant trees or green trees along the lines. After years of growth, they are too close to the lines, which will pose a great threat to production, life, lines and even personal safety. For example, when the trees and the lines reach a certain distance, the trees will be affected by the high voltage, generate induced voltage, cause local electrification, and pose a great safety hazard. In addition, if the safe distance between trees and lines is too small, such as in windy weather, it is very likely that trees will scratch the lines, which is a great threat. For distribution network lines, there are a large number of poles below 20 meters in height. After the poles are buried, the height of the overhead lines is further reduced, that is, the requirements for the growth height of surrounding trees are increased.

[0003] At present, the power distribution operation and maintenance personnel of the power system need to conduct regular, multiple, and repeated inspections every year to promptly discover the safety distance problems of trees and remove the trees, which is time-consuming and labor-intensive. In addition, the current power system has a small number of personnel, a wide working area, complex work content, and complex lines, making it difficult to comprehensively and promptly solve such problems. Therefore, the contact between high-voltage lines and trees has caused losses in production and life, resulting in losses in production and life and personal safety accidents.

[0004] The existing power grid system does not have a periodic requirement or prediction method for tree clearing. It only requires controlling the safe distance between trees and lines and ensuring timely felling or clearing. For example, when inspections find that the distribution network lines generally require the tree-line distance to be less than or equal to 1 meter, trees are felled and cleared, which is a traditional method. Summary of the invention

[0005] The purpose of the present invention is to overcome the above-mentioned deficiencies in the prior art and to provide a tree differentiated obstacle removal prediction method for distribution network system application with a reasonable structural design.

[0006] The technical solution adopted by the present invention to solve the above problem is: a tree differentiated obstacle removal prediction method applied by the distribution network system, characterized in that: the tree differentiated obstacle removal prediction method is as follows:

[0007] (1) After determining the tree species, confirm the average growth rate of the tree species in the four seasons

[0008] (2) Use a laser rangefinder to obtain the line and tree parameters: point A is the point where the tree is closest to the line, the closest distance between the tree and the line is m, and the growth angle θ. Based on the current inspection date, the latest time for clearing trees is calculated using the following method:

[0009] (21) If the calculation does not cross quarters, the calculation shall be based on the following method:

[0010] By the law of cosines:

[0011] Substituting into the equation, we get the quadratic equation: V 2 t 2 -2mVcosθ×t+m 2 -1≤0

[0012] Discriminant: Δ′=b 2 -4ac=4V 2 (m 2 cosθ 2 -m 2 +1)=4V 2 ×Δ

[0013] If Δ≥0, the solution is

[0014] t 歇 =t;

[0015] (22) The calculation method for inter-quarter transactions is as follows:

[0016] By the law of cosines:

[0017] Substituting this into the equation we get the quadratic equation:

[0018] Discriminant: Δ′=b 2 -4ac=4V 2 (m 2 cosθ 2 -m 2 +1)=4V 2 ×Δ

[0019] If Δ≥0, the solution is

[0020] t 砍 =t 上 +t;

[0021] (3) Determine whether there is a solution by using the discriminant coefficient Δ;

[0022] (4) Find the quarterly column corresponding to the inspection date, enter the previous growth time t0 and the previous growth amount L0 equal to 0, and then calculate the obstacle clearance date according to the formula;

[0023] (5) If the clearance date is the next quarter, you need to enter the previous growth time t0 and the previous growth amount L0 in the corresponding column of the next quarter, and then calculate the clearance date according to the formula;

[0024] (6) The calculated clearance date ends when the corresponding quarter is included.

[0025] Furthermore, regardless of whether it spans quarters, the discriminant is the same, and it only needs to determine whether Δ is non-negative.

[0026] Furthermore, when m0 = 0, the solution to the problem of crossing quarters is the same as that of not crossing quarters, and the formula can be used together. It is only necessary to determine m0 = V 上 t 上 +V 上上 t 上上 +…+V 上...上 t 上...上 That's it.

[0027] Furthermore, determine t 砍 =t+t 上 +t 上上 +…+t 上...上 After that, the tree felling time is: inspection date + t 砍 .

[0028] Furthermore, point A represents the point where the tree is closest to the line, and point O represents the point where the line is closest to the tree, both of which are obtained through a distance meter. Point B represents the point where the tree grows to the distance where it needs to be felled. The closest distance m between the tree and the line and the growth angle θ are measured by the distance meter. The growth rate is obtained by the customer by referring to the relevant growth data of the tree. The growth rate V varies for different tree species and in different seasons.

[0029] Compared with the prior art, the present invention has the following advantages: the data obtained by the present application during the current patrol process can not only measure the trees that have reached the cleaning standards, but also make predictions for the trees beyond the safe distance. In the subsequent tracking process, it can be purposeful and planned, and a targeted work plan can be made to improve work efficiency and planning. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 It is a schematic diagram of the calculation principle of an embodiment of the present invention. DETAILED DESCRIPTION

[0031] The present invention will be further described in detail below with reference to the accompanying drawings and by way of examples. The following examples are intended to explain the present invention but the present invention is not limited to the following examples.

[0032] Example

[0033] See also Figure 1 As shown, it should be noted that the structures, proportions, sizes, etc. illustrated in the drawings of this specification are only used to match the contents disclosed in the specification for people familiar with this technology to understand and read, and are not used to limit the limiting conditions for the implementation of the present invention, so they have no substantial technical significance. Any modification of the structure, change in the proportional relationship, or adjustment of the size should still fall within the scope of the technical content disclosed by the present invention without affecting the effects and purposes that can be achieved by the present invention. At the same time, if there are references to terms such as "upper", "lower", "left", "right", "middle" and "one" in this specification, they are only for the convenience of description, and are not used to limit the scope of the implementation of the present invention. The change or adjustment of their relative relationship should also be regarded as the scope of the implementation of the present invention without substantially changing the technical content.

[0034] The tree differentiation obstacle removal prediction method applied by the distribution network system in this embodiment is as follows:

[0035] (1) After determining the tree species, confirm the average growth rate V of the tree species in the four seasons.

[0036] (2) Use a laser rangefinder to obtain the line and tree parameters: point A is the point where the tree is closest to the line, the closest distance between the tree and the line m (i.e., OA) and the growth angle θ. Based on the current inspection date, the latest time for tree removal is calculated using the following method.

[0037] (21) If the calculation does not cross quarters, the calculation shall be based on the following method:

[0038] By the law of cosines:

[0039] Substituting into the equation, we get the quadratic equation: V 2 t 2 -2mVcosθ×t+m 2 -1≤0

[0040] Discriminant: Δ′=b 2 -4ac=4V 2 (m 2 cosθ 2 -m 2 +1)=4V 2 ×Δ

[0041] If Δ≥0, the solution is

[0042] t 砍 =t.

[0043] (22) The calculation method for inter-quarter transactions is as follows:

[0044] By the law of cosines:

[0045] Substituting this into the equation we get the quadratic equation:

[0046] Discriminant: Δ′=b 2 -4ac=4V 2 (m 2 cosθ 2 -m 2 +1)=4V 2 ×Δ

[0047] If Δ≥0, the solution is

[0048] t 砍 =t 上 +t(where t 上 refers to the previous quarter time spanned, and so on).

[0049] (3) Determine whether there is a solution based on the discriminant coefficient Δ.

[0050] (4) Find the column corresponding to the quarter of the inspection date, enter the previous growth time t0 (i.e. the previous quarter, the same below) and the previous growth amount L0 equal to 0, and then calculate the clearance date according to the formula.

[0051] (5) If the clearance date is calculated to be the next quarter, it is necessary to enter the previous growth time t0 and the previous growth amount L0 in the corresponding column of the next quarter, and then calculate the clearance date according to the formula.

[0052] (6) The calculated clearance date ends when the corresponding quarter is included.

[0053] Conclusion: ① Regardless of whether it spans quarters, the discriminant is the same, and we only need to determine whether Δ is non-negative.

[0054] ② When m0=0, the solution to the problem of crossing quarters is the same as that of not crossing quarters, and the formula can be used together. It is only necessary to determine m0=V 上 t 上 +V 上上 t 上上 +…+V 上...上 t 上...上 That's it.

[0055] ③Determine t 砍 =t+t 上 +t 上上 +…+t 上...上 After that, the tree felling time is: inspection date + t 砍 .

[0056] Among them, point A represents the closest distance between the tree and the line, and point 0 represents the closest distance between the line and the tree, both of which are obtained through the distance meter. Point B represents the point where the tree grows to the distance where it needs to be felled. The closest distance m between the tree and the line and the growth angle θ are measured by the distance meter. The growth rate is obtained by the customer by referring to the relevant growth data of the tree. The growth rate V varies for different tree species and in different seasons.

[0057] t 砍 Indicates the time it takes for trees to grow to critical clearance position.

[0058] t represents the tree growth time within this quarter.

[0059] m0 represents the tree growth before the cross-season, which may be the growth of the previous quarter or the previous few quarters.

[0060] v 上 Indicates the growth rate of trees in the last quarter.

[0061] This is illustrated by listing the following table.

[0062] Table 1 Differentiated tree clearance table for main road sections

[0063]

[0064]

[0065] This application can predict the latest allowable removal date for trees that do not meet the removal requirements through a single inspection, and provide a basis for work plans for distribution network operation and maintenance personnel. Instead of simply relying on mechanical work requirements, operations can be carried out through purposeful plans. The work sequence can be reasonably arranged, and work standards can be achieved in a planned, purposeful, tracked, and fully covered manner. This can solve the blind spot problem of tree hazards during inspections, and the personnel pressure caused by inherent regular, multiple, and repeated inspections.

[0066] In addition, it should be noted that the shapes and names of the parts and components of the specific embodiments described in this specification may be different, and the above content described in this specification is only an example of the structure of the present invention. All equivalent changes or simple changes made based on the structure, features and principles described in the patent concept of the present invention are included in the protection scope of the patent of the present invention. Technicians in the technical field of the present invention can make various modifications or supplements to the specific embodiments described or replace them in a similar manner, as long as they do not deviate from the structure of the present invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

Claims

1. A tree differentiated obstacle removal prediction method for distribution network system application, characterized by: The tree differentiated obstacle removal prediction method is as follows: (1) After determining the tree species, confirm the average growth rate of the tree species in the four seasons (2) Use a laser rangefinder to obtain the line and tree parameters: point A is the point where the tree is closest to the line, the closest distance between the tree and the line is m, and the growth angle θ. Based on the current inspection date, the latest time for clearing trees is calculated using the following method: (21) If the calculation does not cross quarters, the calculation shall be based on the following method: By the law of cosines: Substituting into the equation, we get the quadratic equation: V 2 t 2 -2mVcosθ×t+m 2 -1≤0 Discriminant: Δ′=b 2 -4ac=4V 2 (m 2 cosθ 2 -m 2 +1)=4V 2 ×Δ If Δ≥0, the solution is t 砍 =t; (22) The calculation method for inter-quarter transactions is as follows: By the law of cosines: Substituting this into the equation we get the quadratic equation: Discriminant: Δ′=b 2 -4ac=4V 2 (m 2 cosθ 2 -m 2 +1)=4V 2 ×Δ If Δ≥0, the solution is t 砍 =t 上 +t; (3) Determine whether there is a solution by using the discriminant coefficient Δ; (4) Find the quarterly column corresponding to the inspection date, enter the previous growth time t0 and the previous growth amount L0 equal to 0, and then calculate the obstacle clearance date according to the formula; (5) If the clearance date is the next quarter, you need to enter the previous growth time t0 and the previous growth amount L0 in the corresponding column of the next quarter, and then calculate the clearance date according to the formula; (6) The calculated clearance date ends when it is included in the corresponding quarter; Among them, t 砍 Indicates the time it takes for trees to grow to the critical clearance position; Among them, t represents the tree growth time in this quarter; Among them, t 上 Indicates the tree growth time spanned in the previous quarter; Point A indicates the point where the tree is closest to the line, and point O indicates the point where the line is closest to the tree, both of which are obtained through a distance meter. Point B indicates the point where the tree grows to the distance where it needs to be felled. The closest distance m between the tree and the line and the growth angle θ are measured by the distance meter. The growth rate is obtained by the customer by referring to the tree-related growth data. The growth rate V varies for different tree species and in different seasons.

2. The tree differentiated obstacle removal prediction method for distribution network system application according to claim 1 is characterized by: Regardless of whether it spans quarters, the discriminant is the same, and we only need to determine whether Δ is non-negative.

3. The tree differentiated obstacle removal prediction method for distribution network system application according to claim 1 is characterized by: When m0=0, the solution to the problem of crossing quarters is the same as that of not crossing quarters, and the formulas can be used together. It is only necessary to determine m0=V 上 t 上 +V 上上 t 上上 +…+V 上...上 t 上...上 That's it; Among them, m0 represents the tree growth before the cross-season, which may be the growth of the previous quarter or the previous few quarters; among them, v 上 Indicates the growth rate of trees in the last quarter; Among them, t 上 Indicates the tree growth time spanned by the previous quarter.

4. The tree differentiated obstacle removal prediction method for distribution network system application according to claim 1 is characterized by: Determine t 砍 =t+t 上 +t 上上 +…+t 上...上 After that, the tree felling time is: training date + t 砍 ; Among them, t 砍 Indicates the time it takes for trees to grow to the critical clearance position; Among them, t represents the tree growth time in this quarter; Among them, t 上 Indicates the tree growth time spanned by the previous quarter.

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