Power transmission line forest fire monitoring device distribution point planning method and equipment

Abstract

The invention relates to the technical field of power system safety, in particular to a power transmission line forest fire monitoring device stationing planning method and equipment, which can judge whether a to-be-selected monitoring point is in a forest fire monitoring blind area or not according to remote sensing image observation conditions, and generate a forest fire monitoring blind area index; generating a line voltage index according to the voltage grade; according to the forest fire risk, generating a forest fire risk index; according to the index of each to-be-selected measuring point, the arrangement factor of each to-be-selected measuring point is calculated, and then a forest fire monitoring device distribution plan is generated. It can be understood that according to the technical scheme, multi-dimensional judgment bases of monitoring visibility, line importance and environmental risks are fused, the problems that an existing point distribution decision is high in subjectivity and insufficient in scientificity are solved, key monitoring positions can be scientifically screened, resource allocation can be optimized, and monitoring efficiency can be improved.

Description

Technical Field

[0001] This invention relates to the field of power system safety technology, specifically to a method and equipment for planning the deployment of wildfire monitoring devices on power transmission lines. Background Technology

[0002] Transmission lines typically traverse vast mountainous and forested areas, where fire ignition points are numerous, widely distributed, and complex in their patterns, posing significant challenges to wildfire monitoring and early warning. Currently, deploying indiscriminate, full-coverage monitoring devices across all line sections would result in extremely high economic costs, making widespread adoption difficult. Existing methods for deploying monitoring devices often rely on historical maintenance data and fault information to passively determine installation locations. This approach lacks foresight and a systematic approach, failing to scientifically assess potentially high-risk sections along the transmission line from a holistic perspective. Summary of the Invention

[0003] In view of this, the purpose of this invention is to provide a method and equipment for planning the deployment of power transmission line wildfire monitoring devices, so as to solve the problems of strong subjectivity and insufficient scientific basis in the deployment decision-making of existing technologies.

[0004] According to a first aspect of the present invention, a method for planning the deployment of wildfire monitoring devices along power transmission lines is provided, comprising: Based on remote sensing image observations, determine whether each candidate monitoring point is in a wildfire monitoring blind zone, and generate a wildfire monitoring blind zone index for each candidate monitoring point based on the judgment results. Based on the voltage level of the tower where each candidate test point is located, the line voltage index of each candidate test point is generated. Based on the pre-acquired forest fire risk data from the forestry department, a forest fire risk index is generated for each candidate monitoring point; Based on the wildfire monitoring blind zone index, line voltage index, and wildfire risk index of each candidate monitoring point, the layout factor of each candidate monitoring point is calculated. Based on the layout factors of each candidate monitoring point, a wildfire monitoring device deployment plan is generated.

[0005] Preferably, based on remote sensing image observations, it is determined whether the selected monitoring points are located in wildfire monitoring blind spots, including: Obtain the satellite nadir altitude, vertical distance from the equator, blind zone projection distance, mountain top elevation, pixel slope, and pixel aspect of the candidate measurement point; The slope limit angle of the candidate measurement point is calculated based on the elevation of the mountain top and the blind zone projection distance. The slope constraint angle of the candidate measurement point is calculated based on the vertical distance from the equator and the height of the satellite's nadir. The slope constraint angle of the candidate measurement point is compared with the pixel slope, and the slope aspect constraint angle is compared with the pixel slope aspect to obtain the judgment result of the candidate measurement point.

[0006] Preferably, the method further includes: The slope limitation angle α and aspect limitation angle β of the selected measurement point are calculated using the following formulas:

[0007]

[0008] Where E is the elevation of the mountain top, d0 is the blind zone projection distance, h is the vertical distance from the equator, and d is the satellite nadir height.

[0009] Preferably, the slope constraint angle of the selected measurement point is compared with the pixel slope, and the slope aspect constraint angle is compared with the pixel slope aspect, including: If the pixel slope α1 of the candidate measurement point is within the range of [α, 90°], and the pixel aspect β1 of the candidate measurement point is within the range of [β, β+180°], then the candidate measurement point is a blind spot for wildfire monitoring.

[0010] Preferably, based on the voltage level of the tower where each candidate testing point is located, the line voltage index of the candidate testing point is generated, including: If the voltage level of the tower where the candidate test point is located is 110kV or below, then the line voltage index of the candidate test point is set to the first value. If the voltage level of the tower where the candidate test point is located is 220kV, then the line voltage index of the candidate test point is set to the second value. If the voltage level of the tower where the candidate test point is located is 500kV or below, then the line voltage index of the candidate test point is set to the third value.

[0011] Preferably, based on pre-acquired forestry department wildfire risk data, a wildfire risk index is generated for the candidate monitoring points, including: Based on forestry department data on wildfire risk, the area where the candidate monitoring points are located is determined to be a low-risk, medium-risk, or high-risk area. If the area where the candidate testing point is located is a low-risk area, then the wildfire risk index of the candidate testing point is set to the first value. If the area where the candidate monitoring point is located is a medium-risk area, then the wildfire risk index of the candidate monitoring point is set to the second value. If the area where the candidate monitoring point is located is a high-risk area, then the wildfire risk index of the candidate monitoring point will be set to the third value.

[0012] Preferably, the layout factor of the candidate monitoring points is calculated based on the wildfire monitoring blind zone index, line voltage index, and wildfire risk index, including: The layout factor Y of the selected measurement points is calculated using the following formula:

[0013] in, w 1. w 2. w 3 is the weighting coefficient, Y1 is the wildfire monitoring blind spot index, Y2 is the line voltage index, and Y3 is the wildfire risk index.

[0014] Preferably, the method further includes: If the candidate measurement point is a blind spot for wildfire monitoring, then the wildfire monitoring blind spot index Y1 of the candidate measurement point is set to 3; otherwise, it is set to 1. The first value is 1, the second value is 2, and the third value is 3; Weighting coefficient w 1 is 0.43, weighting coefficient w 2 is 0.24, weighting coefficient w 3 is 0.33.

[0015] Preferably, a wildfire monitoring device deployment plan is generated based on the layout factors of each candidate monitoring point, including: If the arrangement factor of the candidate measurement point is greater than the preset threshold, the candidate measurement point will be marked as a key monitoring measurement point. Based on the markings of each candidate monitoring point, a wildfire monitoring device deployment plan is generated.

[0016] According to a second aspect of the present invention, a deployment planning device for a power transmission line wildfire monitoring device is provided, comprising: The main controller and the memory connected to the main controller; The memory stores program instructions; The main controller is used to execute program instructions stored in the memory and perform any of the methods described above.

[0017] The technical solutions provided by the embodiments of the present invention may include the following beneficial effects: It is understood that the technical solution presented in this invention can determine whether candidate monitoring points are located in wildfire monitoring blind zones based on remote sensing image observations, generating a wildfire monitoring blind zone index; generate a line voltage index based on voltage levels; generate a wildfire risk index based on wildfire risk; and calculate the layout factors of each candidate monitoring point based on the indices of each candidate monitoring point, thereby generating a wildfire monitoring device deployment plan. It is understood that the technical solution presented in this invention integrates multi-dimensional judgment criteria of monitoring visibility, line importance, and environmental risk, solving the problems of strong subjectivity and insufficient scientific rigor in existing deployment decisions. It can scientifically select key monitoring locations, optimize resource allocation, and improve monitoring efficiency.

[0018] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit the invention. Attached Figure Description

[0019] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0020] Figure 1 This is a schematic diagram illustrating the steps of a method for planning the deployment of a power transmission line wildfire monitoring device, according to an exemplary embodiment. Detailed Implementation

[0021] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numerals in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples of apparatuses and methods consistent with some aspects of the invention as detailed in the appended claims.

[0022] In one embodiment, Figure 1 This is a schematic diagram illustrating the steps of a method for planning the deployment of a wildfire monitoring device for power transmission lines, according to an exemplary embodiment. See also... Figure 1 A method for planning the deployment of wildfire monitoring devices along power transmission lines is provided, including: Step S11: Based on the observation of remote sensing images, determine whether each candidate measurement point is in the wildfire monitoring blind zone, and generate the wildfire monitoring blind zone index for each candidate measurement point based on the judgment result.

[0023] Step S12: Generate the line voltage index for each candidate test point based on the voltage level of the tower where each candidate test point is located.

[0024] Step S13: Generate the wildfire risk index for each candidate monitoring point based on the pre-acquired forestry department wildfire risk data.

[0025] Step S14: Calculate the layout factor of each candidate monitoring point based on the wildfire monitoring blind zone index, line voltage index, and wildfire risk index of each candidate monitoring point.

[0026] Step S15: Generate a wildfire monitoring device deployment plan based on the layout factors of each candidate monitoring point.

[0027] It is understood that the technical solution shown in this embodiment can determine whether the candidate monitoring points are in wildfire monitoring blind zones based on remote sensing image observations, and generate a wildfire monitoring blind zone index; generate a line voltage index based on voltage levels; generate a wildfire risk index based on wildfire risk; and calculate the layout factors of each candidate monitoring point based on the indices of each candidate monitoring point, thereby generating a wildfire monitoring device deployment plan. It is understood that the technical solution shown in this embodiment integrates multi-dimensional judgment criteria such as monitoring visibility, line importance, and environmental risk, solving the problems of strong subjectivity and insufficient scientific rigor in existing deployment decisions. It can scientifically select key monitoring locations, optimize resource allocation, and improve monitoring efficiency.

[0028] In practice, taking the candidate measurement point A as an example, the following explanation is provided.

[0029] It should be noted that during step S11, based on remote sensing image observations, it is determined whether the candidate monitoring point is located in a wildfire monitoring blind zone. This step aims to quantify the difficulty of effectively monitoring candidate monitoring point A by satellite, including: Step S111: Obtain the satellite nadir height, vertical distance from the equator, blind zone projection distance, mountain top elevation, pixel slope, and pixel aspect corresponding to the selected measurement point.

[0030] For example, the satellite nadir altitude d of candidate point A is 700 kilometers, the vertical distance h of candidate point A from the Earth's equator is 1.2 kilometers, the potential blind zone projection distance d0 due to terrain obstruction is 0.8 kilometers, and the elevation E of the highest mountain peak near candidate point A is 1.5 kilometers. Furthermore, by consulting high-precision digital elevation model data, the pixel slope α1 of candidate point A is found to be 35 degrees, and the pixel aspect β1 is 150 degrees.

[0031] The principle behind the formation of blind spots in wildfire monitoring is that when a satellite in the sky observes the ground, if the selected monitoring point is located on the back slope of a high mountain, its line of sight may be blocked by the mountain, thus creating a monitoring blind spot. To quantify this effect, this application introduces the concepts of slope limiting angle α and aspect limiting angle β.

[0032] Step S112: Calculate the slope constraint angle α of the selected measurement point based on the elevation of the mountain top and the projected distance of the blind zone. The physical meaning of the slope constraint angle is to define the minimum slope that may fall into the shadow area due to mountain shading. Its calculation formula is:

[0033] Step S113: Calculate the slope aspect constraint angle β of the candidate measurement point based on the vertical distance from the equator and the satellite nadir height. This angle is used to define the slope aspect range that may cause obstruction. The calculation formula is as follows:

[0034] Where E is the elevation of the mountain top, d0 is the blind zone projection distance, h is the vertical distance from the equator, and d is the satellite nadir height.

[0035] Step S113: Compare the slope limitation angle of the candidate measurement point with the pixel slope, and compare the slope aspect limitation angle with the pixel slope aspect to obtain the judgment result of the candidate measurement point.

[0036] If the pixel slope α1 of the candidate measurement point is within the range of [α, 90°], and the pixel aspect β1 of the candidate measurement point is within the range of [β, β+180°], then the candidate measurement point is a blind spot for wildfire monitoring.

[0037] For example, for candidate monitoring point A, its pixel slope α1 is 35 degrees, which is less than the calculated slope limit angle α (approximately 69.4 degrees). Since the condition "α1≥α" is not met, there is no need to determine the slope aspect, and it can be determined that candidate monitoring point A is not in the blind zone of wildfire monitoring.

[0038] Preferably, when assigning the index value, if the candidate measurement point is a blind spot for wildfire monitoring, the wildfire monitoring blind spot index Y1 of the candidate measurement point is set to 3; otherwise, it is set to 1. The value of the wildfire monitoring blind spot index Y1 of candidate measurement point A is 1.

[0039] It should be noted that in step S12, based on the voltage level of the tower where each candidate testing point is located, a line voltage index is generated for the candidate testing point. This aims to quantify the importance of the transmission line, including: If the voltage level of the tower where the candidate test point is located is 110kV or below, then the line voltage index of the candidate test point is set to the first value. If the voltage level of the tower where the candidate test point is located is 220kV, then the line voltage index of the candidate test point is set to the second value. If the voltage level of the tower where the candidate test point is located is 500kV or below, then the line voltage index of the candidate test point is set to the third value.

[0040] It is understandable that the higher the voltage level of a power line, the more important its position in the power grid, and the greater the impact of damage caused by wildfires. In this embodiment, a three-level assignment system is used, with the first value being 1, the second value being 2, and the third value being 3.

[0041] For example, the voltage level of the tower on the transmission line where the test point A is located is 500 kV, and its line voltage index Y2 is assigned a value of 3.

[0042] It should be noted that in step S13, based on pre-acquired forestry department wildfire risk data, a wildfire risk index is generated for the candidate monitoring points. This index quantifies the inherent fire risk of the environment in which the candidate monitoring points are located. This index directly references the risk levels published by authoritative departments to ensure the objectivity of the assessment. This includes: Based on forestry department data on wildfire risk, the area where the candidate monitoring points are located is determined to be a low-risk, medium-risk, or high-risk area. If the area where the candidate testing point is located is a low-risk area, then the wildfire risk index of the candidate testing point is set to the first value. If the area where the candidate monitoring point is located is a medium-risk area, then the wildfire risk index of the candidate monitoring point is set to the second value. If the area where the candidate monitoring point is located is a high-risk area, then the wildfire risk index of the candidate monitoring point will be set to the third value.

[0043] In this embodiment, a three-level assignment system is also adopted, with the first value being 1, the second value being 2, and the third value being 3.

[0044] For example, according to data released by the forestry management department, the geographical area where the selected monitoring point A is located has been designated as a high-risk area, and its wildfire risk index Y3 has been assigned a value of 3.

[0045] It should be noted that after the calculation of each independent index is completed, step S14 is executed to calculate the layout factor of the candidate monitoring points based on the wildfire monitoring blind zone index, line voltage index, and wildfire risk index. This includes: The layout factor Y of the selected measurement points is calculated using the following formula:

[0046] in, w 1. w 2. w 3 is the weighting coefficient, Y1 is the wildfire monitoring blind spot index, Y2 is the line voltage index, and Y3 is the wildfire risk index.

[0047] Preferred weighting coefficient w 1 is 0.43, weighting coefficient w 2 is 0.24, weighting coefficient w The value of 3 is 0.33, indicating that whether a location is in a surveillance blind spot is considered a primary consideration. Furthermore, the weighting coefficient can be set according to the actual situation.

[0048] Substituting the index values ​​and weight coefficients of the candidate measurement point A into the formula, the value of the arrangement factor Y of the candidate measurement point A is 2.14.

[0049] The final execution step S15 involves generating a wildfire monitoring device deployment plan based on the layout factors of each candidate monitoring point, including: If the layout factor of the candidate monitoring point is greater than the preset threshold, the candidate monitoring point is marked as a key monitoring point; based on the marking of each candidate monitoring point, a wildfire monitoring device layout plan is generated.

[0050] In practice, the preset threshold can be set according to the actual situation. Taking a preset threshold of 2 as an example, for the candidate monitoring point A, its Y value is 2.14, which is greater than or equal to the preset threshold of 2. The judgment result is "yes". The candidate monitoring point A is marked as a key monitoring point, and the decision result is output for the planners to include it in the list of priority wildfire monitoring devices.

[0051] As can be seen from this embodiment, although the selected measurement point A is not in the blind zone of satellite monitoring (Y1 is low), its location on the line is extremely important (Y2 is very high) and its environmental fire risk level is very high (Y3 is very high). Therefore, the comprehensive evaluation model of this application can still scientifically identify it as a high-value deployment target, which reflects the ability of this method to comprehensively weigh multiple factors and achieve effective protection of critical assets.

[0052] In another embodiment, a deployment planning device for wildfire monitoring devices along power transmission lines is provided, comprising: The main controller and the memory connected to the main controller; The memory stores program instructions; The main controller is used to execute program instructions stored in the memory and perform any of the methods described above.

[0053] It is understood that the same or similar parts in the above embodiments can be referred to each other, and the contents not described in detail in some embodiments can be referred to the same or similar contents in other embodiments.

[0054] It should be noted that in the description of this invention, the terms "first," "second," etc., are used for descriptive purposes only and should not be construed as indicating or implying relative importance. Furthermore, in the description of this invention, unless otherwise stated, "a plurality of" means at least two.

[0055] Any process or method description in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing a particular logical function or process, and the scope of the preferred embodiments of the invention includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as will be understood by those skilled in the art to which embodiments of the invention pertain.

[0056] It should be understood that various parts of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0057] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0058] Furthermore, the functional units in the various embodiments of the present invention can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0059] The storage media mentioned above can be read-only memory, disk, or optical disk, etc.

[0060] In the description of this specification, references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0061] Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of the present invention.

Claims

1. A method for planning a distribution of a power line fire monitoring device, characterized in that, The application relates to a method for planning a mountain fire monitoring device, and belongs to the field of mountain fire monitoring. According to remote sensing image observation conditions, whether each selected measuring point is in a mountain fire monitoring blind area is judged, and a mountain fire monitoring blind area index of each selected measuring point is generated according to a judgment result; According to a voltage level of a tower where each selected measuring point is located, a line voltage index of each selected measuring point is generated; According to pre-acquired mountain fire risk data of a forestry department, a mountain fire risk index of each selected measuring point is generated; According to the mountain fire monitoring blind area index, the line voltage index and the mountain fire risk index of each selected measuring point, a layout factor of each selected measuring point is calculated; According to the layout factor of each selected measuring point, a mountain fire monitoring device layout plan is generated.

2. The method of claim 1, wherein, According to remote sensing image observation conditions, whether a selected measuring point is in a mountain fire monitoring blind area is judged, and the method comprises the following steps: A satellite foot point height, a vertical height from an equator, a blind area projection distance, a mountain top altitude, a pixel slope and a pixel slope direction of the selected measuring point are acquired; A slope limit angle of the selected measuring point is calculated according to the mountain top altitude and the blind area projection distance; A slope direction limit angle of the selected measuring point is calculated according to the vertical height from the equator and the satellite foot point height; The slope limit angle of the selected measuring point is compared with the pixel slope, and the slope direction limit angle is compared with the pixel slope direction, so that a judgment result of the selected measuring point is obtained.

3. The method of claim 2, wherein, The method further comprises the following steps: The slope limit angle alpha and the slope direction limit angle beta of the selected measuring point are calculated according to the following formula: Wherein, E is the mountain top altitude, d0 is the blind area projection distance, h is the vertical height from the equator, and d is the satellite foot point height.

4. The method of claim 3, wherein, The slope limit angle of the selected measuring point is compared with the pixel slope, and the slope direction limit angle is compared with the pixel slope direction, and the method comprises the following steps: If the pixel slope alpha1 of the selected measuring point is in the range of [alpha, 90 DEG], and the pixel slope direction beta1 of the selected measuring point is in the range of [beta, beta + 180 DEG], then the selected measuring point is in the mountain fire monitoring blind area.

5. The method of claim 1, wherein, According to the voltage level of the tower where each selected measuring point is located, a line voltage index of each selected measuring point is generated, and the method comprises the following steps: If the voltage level of the tower where the selected measuring point is located is 110 kV and below, the line voltage index of the selected measuring point is set to a first value; If the voltage level of the tower where the selected measuring point is located is 220 kV, the line voltage index of the selected measuring point is set to a second value; If the voltage level of the tower where the selected measuring point is located is 500 kV and below, the line voltage index of the selected measuring point is set to a third value.

6. The method of claim 5, wherein, According to pre-acquired mountain fire risk data of a forestry department, a mountain fire risk index of each selected measuring point is generated, and the method comprises the following steps: According to the mountain fire risk data of the forestry department, whether a region where the selected measuring point is located is a low-risk region, a medium-risk region or a high-risk region is judged; If the region where the selected measuring point is located is a low-risk region, the mountain fire risk index of the selected measuring point is set to a first value; If the region where the selected measuring point is located is a medium-risk region, the mountain fire risk index of the selected measuring point is set to a second value; If the region where the selected measuring point is located is a high-risk region, the mountain fire risk index of the selected measuring point is set to a third value.

7. The method of claim 6, wherein, According to the mountain fire monitoring blind area index, the line voltage index and the mountain fire risk index of the selected measuring point, a layout factor of the selected measuring point is calculated, and the method comprises the following steps: The arrangement factor Y of the candidate measuring point is calculated by the following formula: wherein, w 1、 w 2、 w 3 is a weight coefficient, Y1 is a mountain fire monitoring blind area index, Y2 is a line voltage index, and Y3 is a mountain fire risk index.

8. The method of claim 7, wherein, Further comprising: If the candidate measuring point is a blind area of forest fire monitoring, the blind area index Y1 of the candidate measuring point is set to 3, otherwise, it is set to 1; The first numerical value is 1, the second numerical value is 2, and the third numerical value is 3; weighting factor w 1 is 0.43, weighting factor w 2 is 0.24, weighting factor w 3 is 0.

33.

9. The method of claim 1, wherein, According to the arrangement factor of each candidate measuring point, a forest fire monitoring device layout planning is generated, comprising: If the arrangement factor of the candidate measuring point is greater than a preset threshold, the candidate measuring point is marked as a key monitoring measuring point; According to the marking of each candidate measuring point, a forest fire monitoring device layout planning is generated.

10. A power transmission line forest fire monitoring device distribution planning equipment, characterized in that, Comprising: A host controller and a memory connected to the host controller; The memory has program instructions stored therein; The host controller is configured to execute the program instructions stored in the memory to perform the method of any one of claims 1-8.

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