Distributed arrangement method and system for active ice disaster prevention devices of overhead ground wire

Abstract

The invention relates to a distributed arrangement method and system for active ice disaster prevention devices of an overhead ground wire, and the method comprises the following steps: 1, carrying out the microclimate partitioning of a line: dividing the line into a plurality of microclimate segments based on historical icing data, and calculating the icing risk index of each segment; 2, device density calculation, wherein an arrangement density factor is calculated according to the span and the height difference; 3, key points are arranged, wherein main control device nodes are arranged in the icing high-risk area, the sag lowest point and the altitude difference sudden change point; 4, a cooperative control mechanism: establishing a device group communication network, and coordinating the working mode of the child nodes by the main node according to the real-time meteorological data; 5, dynamically adjusting the strategy: feeding back working parameters of the automatic adjusting device through a tension sensor according to real-time icing monitoring data; the method has the advantages that the adaptive matching model is established, a cooperative work mechanism is constructed, a hierarchical response arrangement strategy is established, and the deployment problem is solved.

Description

Technical Field

[0001] The present invention belongs to the technical field of disaster prevention and mitigation of high-voltage transmission lines, and in particular relates to a distributed arrangement method and system for an overhead ground wire active ice disaster prevention device. Background Art

[0002] Installing additional anti-icing devices on overhead ground wires is an effective way to prevent them from being covered with ice and causing ice disasters. However, the current layout of ground wire anti-icing devices has the following technical limitations: First, the traditional uniform distribution method does not take into account the differences in micro-topography and meteorology, resulting in low anti-icing efficiency; second, the fixed-spacing installation method is difficult to adapt to different spacing and elevation changes; third, there is a lack of a coordinated control mechanism between devices, resulting in energy waste and insufficient local anti-icing; fourth, a linkage response mechanism with the icing status of the conductors has not been established; fifth, there is a lack of quantitative basis for the layout of devices in high-altitude and large elevation difference areas; therefore, it is very necessary to provide a distributed layout method and system for overhead ground wire active ice disaster prevention devices that establishes an adaptive matching model, constructs a collaborative working mechanism, establishes a hierarchical response layout strategy, and solves deployment problems. Summary of the Invention

[0003] (1) Technical issues

[0004] In view of the above-mentioned existing technical status, this application mainly addresses the following technical problems:

[0005] 1. The traditional uniform distribution method does not take into account the differences in micro-topography and meteorology, resulting in low anti-icing efficiency; the fixed-spacing installation method is difficult to adapt to different spacing and height differences;

[0006] 2. There is a lack of coordinated control mechanism between devices, resulting in energy waste and insufficient local anti-icing; a linkage response mechanism with the icing status of the conductors has not been established; and there is a lack of quantitative basis for the layout of devices in high-altitude and large height difference areas.

[0007] (2) Technical solution

[0008] The purpose of the present invention is to overcome the shortcomings of the existing technology and provide a distributed deployment method and system for overhead ground wire active ice disaster prevention devices, which establish an adaptive matching model, build a collaborative working mechanism, establish a hierarchical response deployment strategy, and solve deployment problems.

[0009] The object of the present invention is achieved by providing a distributed arrangement method for an overhead ground wire active ice disaster prevention device, the method comprising the following steps:

[0010] Step 1: Line micro-meteorological zoning: Divide the line into several micro-meteorological segments based on historical icing data, and calculate the icing risk index for each segment;

[0011] Step 2: Device density calculation: Calculate the layout density factor based on the span L and height difference Δh;

[0012] Step 3: Key point layout: Set up master control device nodes in high-risk ice areas, lowest sag points, and elevation change points;

[0013] Step 4: Collaborative control mechanism: Establish a device group communication network, and the master node coordinates the working mode of the sub-nodes based on real-time meteorological data;

[0014] Step 5: Dynamic adjustment strategy: Based on real-time ice monitoring data, the device operating parameters are automatically adjusted through tension sensor feedback.

[0015] Furthermore, the calculation formula of the ice risk index of each section in step 1 is: R i =α·T+β·H+γ·V 0.5 , where R i is the icing risk index in the micrometeorological period; T is the temperature factor; H is the humidity factor; V is the wind speed factor; α, β, and γ are weight coefficients, satisfying α+β+γ=1.

[0016] Furthermore, the calculation formula of the arrangement density factor in step 2 is:

[0017] ρ=[k·L·(1+0.02Δh)·R i ], where ρ is the layout density factor; k is the basic density coefficient; L is the span length; Δh is the absolute value of the height difference.

[0018] Furthermore, the identification of high-risk ice areas, positioning of the lowest sag point, and determination of elevation mutation points in step 3 are specifically as follows:

[0019] Identification of high-risk areas: R i Areas with a value of ≥0.75 are automatically identified as high-risk areas and must be equipped with master control nodes;

[0020] Positioning the lowest point of sag: by the formula f=(L 2 ·g) / (8·σ) to calculate the sag, where g is the ground load; σ is the horizontal stress;

[0021] Determination of height difference mutation point: adjacent level height difference change rate δ=|Δh i -Δh i-1 | / L avg >0.15 is the mutation point, where Δh i , Δh i-1 are the absolute values ​​of the height difference between the i-th node and the i-1-th node; L avg is the average value of all node spans.

[0022] Furthermore, the master control device node arrangement rule in step 3 is specifically as follows:

[0023] 1) Each micro-meteorological segment shall have at least one master control node;

[0024] 2) R i For sections with a velocity greater than or equal to 0.85, one master control node is added every 300 meters;

[0025] 3) The master control node must be deployed within 50 meters on both sides of the height difference mutation point;

[0026] 4) The main control node must be arranged at the lowest point of the sag;

[0027] 5) The minimum distance between master nodes is 150 meters and the maximum is 500 meters.

[0028] Furthermore, the collaborative control mechanism in step 4 is specifically: m =f(T,H,V,d ice ), where P m Decision output of the master node; d ice is the ice cover thickness; Among them, C i Control parameters for child nodes; d i is the ice thickness at the child node; d avg is the average ice thickness of all nodes; k d Difference response coefficient.

[0029] Furthermore, the dynamic adjustment process of the dynamic adjustment strategy in step 5 is as follows:

[0030] 1) Real-time monitoring of ice thickness and tension changes;

[0031] 2) Calculate the deviation e(t) between the actual value and the target value;

[0032] 3) Calculate the power adjustment ΔP using the PID algorithm;

[0033] 4) Issue adjustment instructions: P new =P current +ΔP,P new is the adjusted power; P current is the power before adjustment;

[0034] 5) Evaluate the adjustment effect and update the control parameters;

[0035] 6) Activate emergency mode when tension suddenly changes.

[0036] Furthermore, the power adjustment amount ΔP is calculated as follows: ΔP=K p ·e(t)+K i ·∫e(t)dt+K d de(t) / dt, where ΔP is the power adjustment; e(t) is the real-time deviation; K p , Ki , K d is the PID coefficient.

[0037] A distributed deployment system for overhead ground wire active ice disaster prevention devices includes a meteorological zoning module, a device density calculation module, a collaborative control module, and a dynamic adjustment module. The distributed deployment system for overhead ground wire active ice disaster prevention devices is used to execute the distributed deployment method for overhead ground wire active ice disaster prevention devices described above.

[0038] Furthermore, the meteorological zoning module is used to divide the line into several micro-meteorological segments based on historical icing data, calculate the icing risk index of each segment, and realize the micro-meteorological zoning of the line;

[0039] The device density calculation module is used to calculate the layout density factor based on the span and height difference, and realize the density calculation of the active ice disaster prevention device;

[0040] The collaborative control module achieves collaborative control by establishing a device group communication network, with the master node coordinating the sub-node working mode based on real-time meteorological data;

[0041] The dynamic adjustment module is used to automatically adjust the device operating parameters based on real-time ice coverage monitoring data through tension sensor feedback, thereby achieving dynamic adjustment of the device operating parameters.

[0042] (3) Beneficial effects

[0043] 1. The present invention provides an optimization layout method for anti-icing devices based on micro-topography meteorological characteristics (differentiation layout strategy based on micro-meteorological zoning); establishes a device layout density calculation model ρ = f (L, Δh, R i ) and line parameters adaptive matching model;

[0044] 2. This invention designs a collaborative working mechanism for anti-icing devices (a master-slave collaborative control network architecture) and a method for selecting key control points on lines with large elevation differences, solving the problem of deploying ground wire anti-icing devices on transmission lines with large elevation differences and multiple weather zones.

[0045] 3. The present invention develops an icing risk graded response layout strategy (icing risk-device power dynamic matching algorithm). BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 Flow chart of the method of the present invention.

[0047] Figure 2 This is a system structure framework diagram of the present invention. DETAILED DESCRIPTION

[0048] The present invention will be further described below with reference to the embodiments and / or drawings.

[0049] Example 1

[0050] like Figure 1 As shown, a distributed arrangement method of an overhead ground wire active ice disaster prevention device comprises the following steps:

[0051] Step 1: Line micro-meteorological zoning: Divide the line into several micro-meteorological segments based on historical icing data, and calculate the icing risk index for each segment;

[0052] As a practical implementation method, the calculation formula of the ice risk index of each section is: R i =α·T+β·H+γ·V 0.5 , where R i is the micrometeorological icing risk index, a dimensionless parameter ranging from 0 to 1, with a larger value indicating a higher icing risk; T is the temperature factor, calculated as: T = |t 实际 -t 最优 | / 10, where t 最优 =-3℃ is the optimal icing temperature; H is the humidity factor, calculated as: H=RH, where RH is the relative humidity percentage; V is the wind speed factor, the actual wind speed value (m / s), and the 0.5 power is used to reduce the impact of high wind speed; α, β, and γ are weight coefficients, and the empirical values ​​are: α=0.5, β=0.3, and γ=0.2, satisfying α+β+γ=1.

[0053] Step 2: Device density calculation: Calculate the layout density factor based on the span L and height difference Δh;

[0054] As a practical implementation, the calculation formula of the arrangement density factor is: ρ = [k·L·(1+0.02Δh)·R i ], ρ is the layout density factor, a dimensionless parameter that determines the number of devices per unit length. Every increase of 0.1 in the ρ value corresponds to an 8% increase in the device density; k is the basic density coefficient, an empirical constant with a value range of 0.0003-0.0006 and a typical value of 0.0004, which is determined by the ground wire model and the type of anti-icing device; L is the span length, the line span (meters), which refers to the horizontal distance between two adjacent towers; Δh is the absolute value of the height difference, the elevation difference (meters) between the suspension points of the towers at both ends of the span, which reflects the degree of terrain undulation.

[0055] Step 3: Key point layout: Set up master control device nodes in high-risk ice areas, lowest sag points, and elevation change points;

[0056] As a feasible specific implementation method, ① set up the main control device nodes in the high-risk area of ​​icing, the lowest point of sag, and the point of sudden change in height difference:

[0057] Identification of high-risk areas: R iAreas with a value of ≥0.75 are automatically identified as high-risk areas and must be equipped with master control nodes;

[0058] Positioning the lowest point of sag: by the formula f=(L 2 ·g) / (8·σ) to calculate the sag, where g is the ground load; σ is the horizontal stress;

[0059] Determination of height difference mutation point: adjacent level height difference change rate δ=|Δh i -Δh i-1 | / L avg >0.15 is the mutation point, where Δh i , Δh i-1 are the absolute values ​​of the height difference between the i-th node and the i-1-th node; L avg is the average value of all node spans.

[0060] ②Layout rules

[0061] 1) Each micro-meteorological segment shall have at least one master control node;

[0062] 2) R i For sections with a velocity greater than or equal to 0.85, one master control node is added every 300 meters;

[0063] 3) The master control node must be deployed within 50 meters on both sides of the height difference mutation point;

[0064] 4) The main control node must be arranged at the lowest point of the sag;

[0065] 5) The minimum distance between master nodes is 150 meters and the maximum is 500 meters.

[0066] Step 4: Collaborative control mechanism: Establish a device group communication network, and the master node coordinates the working mode of the sub-nodes based on real-time meteorological data;

[0067] As a specific implementation method that can be realized, the collaborative control mechanism is specifically as follows: m =f(T,H,V,d ice ), where P m Decision output of the master node; d ice is the ice cover thickness; Among them, C i Control parameters for child nodes; d i is the ice thickness at the child node; d avg is the average ice thickness of all nodes; k d The difference response coefficient, with a typical value of 0.5, controls the response strength of the child node to local ice cover differences.

[0068] Step 5: Dynamic adjustment strategy: Based on real-time ice monitoring data, the device operating parameters are automatically adjusted through tension sensor feedback.

[0069] As a practical implementation method, ① calculate the power adjustment amount ΔP: ΔP = K p ·e(t)+K i ·∫e(t)dt+K d de(t) / dt, where ΔP is the power adjustment, which is the power change calculated by the PID control algorithm and ranges from -100% to +100%; e(t) is the real-time deviation, e(t) = d target -d achual , the deviation between the target ice thickness and the actual value; K p , K i , K d is the PID coefficient (proportional, integral, and differential coefficients), typical value: K p =0.8,K i =0.2,K d =0.1.

[0070] ②Dynamically adjust the process

[0071] 1) Real-time monitoring of ice thickness and tension changes;

[0072] 2) Calculate the deviation e(t) between the actual value and the target value;

[0073] 3) Calculate the power adjustment ΔP using the PID algorithm;

[0074] 4) Issue adjustment instructions: P new =P current +ΔP,P new is the adjusted power; P current is the power before adjustment;

[0075] 5) Evaluate the adjustment effect and update the control parameters;

[0076] 6) Activate emergency mode when tension suddenly changes.

[0077] The present invention relates to a distributed layout method and system for active ice disaster prevention devices for overhead ground wires, which relates to the technical field of disaster prevention and mitigation of high-voltage transmission lines, and is particularly suitable for the deployment of ground wire ice disaster prevention and mitigation systems for transmission lines in multiple meteorological zones and with large elevation differences. During use, the present invention provides an optimized layout method for ice prevention devices based on micro-topography meteorological characteristics, which improves ice prevention efficiency by more than 40% and reduces energy consumption by 35%; the present invention establishes an adaptive matching model between device layout density and line parameters, achieving better ice prevention effects while reducing the number of devices by 25%; the present invention designs a collaborative working mechanism for groups of ice prevention devices, which extends the service life of the equipment by 30%; the present invention develops a hierarchical response layout strategy for ice risk, and a dynamic adjustment mechanism adapts to complex meteorological changes, improves system robustness, and effectively solves the problem of ice prevention blind spots for lines with large elevation differences; the present invention can solve the deployment problem of ground wire ice prevention devices for transmission lines with large elevation differences and multiple meteorological zones; the present invention has the advantages of establishing an adaptive matching model, constructing a collaborative working mechanism, establishing a hierarchical response layout strategy, and solving deployment problems.

[0078] Example 2

[0079] like Figure 1 As shown, a distributed arrangement method of an overhead ground wire active ice disaster prevention device comprises the following steps:

[0080] Step 1: Line micro-meteorological zoning: Divide the line into several micro-meteorological segments based on historical icing data, and calculate the icing risk index for each segment;

[0081] Step 2: Device density calculation: Calculate the layout density factor based on the span L and height difference Δh;

[0082] Step 3: Key point layout: Set up master control device nodes in high-risk ice areas, lowest sag points, and elevation change points;

[0083] Step 4: Collaborative control mechanism: Establish a device group communication network, and the master node coordinates the working mode of the sub-nodes based on real-time meteorological data;

[0084] Step 5: Dynamic adjustment strategy: Based on real-time ice monitoring data, the device operating parameters are automatically adjusted through tension sensor feedback.

[0085] In the present invention, an example analysis is performed: taking a 220kV transmission line project as an example, three consecutive spans of the line are selected as implementation objects, and the line parameters are as follows:

[0086] Spacing A: L = 420m, Δh = 35m, Terrain: mountainous valley area;

[0087] Spacing B: L = 380m, Δh = 15m, terrain: hilly transition area;

[0088] Spacing C: L = 450m, Δh 65m, terrain: high mountain wind outlet area;

[0089] Environmental parameters: temperature: -3.2℃, humidity: 92%, wind speed: 6.5m / s.

[0090] Step 1: Line micro-climate zoning:

[0091] According to the terrain and meteorological characteristics, the three spans are divided into three micro-meteorological segments:

[0092] Ice risk index calculation: R i =α·T+β·H+γ·V 0.5 , where: α = 0.5, β = 0.3, γ = 0.2; micro-meteorological section T (temperature factor) H (humidity factor) V 0.5 (wind speed factor) R i (Icing Risk Index);

[0093] Spacing A (River Valley): 0.5×0.02+0.3×0.92+0.2×2.55=0.01+0.276+0.51=0.796;

[0094] Spacing B (hilly area): 0.5×0.02+0.3×0.85+0.2×2.28=0.01+0.255+0.456=0.721;

[0095] Spacing C (high mountain vent): 0.5×0.11+0.3×0.96+0.2×2.88=0.055+0.288+0.576=0.919; that is:

[0096] Gear spacing A: R i =0.796→High risk area (0.6≤R i <0.8)

[0097] Gear spacing B: R i =0.721→Medium risk area (0.7≤R i <0.8)

[0098] Gear spacing C: R i =0.919→Extremely high risk area (R i ≥0.9).

[0099] Step 2: Calculate device density:

[0100] ①Calculate the layout density factor ρ=k·L·(1+0.02Δh)·R based on the spacing L and height difference Δh i , where: k = 0.004 (basic density coefficient):

[0101] Gear spacing A: ρ = 0.004 × 420 × (1 + 0.02 × 35) × 0.796 = 2.27;

[0102] Gear spacing B: ρ = 0.004 × 380 × (1 + 0.02 × 15) × 0.721 = 1.42;

[0103] Gear spacing C: ρ = 0.004 × 450 × (1 + 0.02 × 65) × 0.919 = 3.80;

[0104] ② Calculation of device quantity

[0105] Number of devices N = ρ × (L / 100) (round up the result)

[0106] Gear spacing A: N = 2.27 × (420 / 100) = 2.27 × 4.2 = 9.53 → 10 units;

[0107] Spacing B: N = 1.42 × (380 / 100) = 1.42 × 3.8 = 5.40 → 6 units;

[0108] Gear spacing C: N = 3.80 × (450 / 100) = 3.80 × 4.5 = 17.10 → 18 units.

[0109] Step 3: Layout of key points: Set up master control device nodes in high-risk areas of icing, lowest sag points, and elevation mutation points:

[0110] ①Key point identification criteria:

[0111] 1.R i ≥0.75: Set the master node;

[0112] 2. The lowest point of sag: the master control node must be set;

[0113] 3. Height difference mutation point: δ=|Δh i -Δh i-1 | / L avg >0.15.

[0114] ②Key point analysis results

[0115] Gear spacing A: R i =0.796>0.75→Master control node is required;

[0116] The lowest point of sag: f min = 210m from Tower A;

[0117] Gear spacing B: R i =0.721<0.75→It is not mandatory to set a master node;

[0118] Gear spacing C: R i =0.919>0.75→Master control node is required;

[0119] Height difference mutation point: δ = |65-15| / 400 = 0.125 < 0.15 → no mutation point.

[0120] ③Key point layout plan

[0121] Span A: Main control nodes: 2 (high-risk area + lowest sag point); ordinary nodes: 8 points;

[0122] Spacing B: Master node: 1 (select the center point); Ordinary nodes: 5;

[0123] Span C: Main control nodes: 3 (extremely high risk area + lowest sag point); ordinary nodes: 15.

[0124] Step 4: Determination of collaborative control mechanism

[0125] Master node decision output: P m =f(T,H,V,d ice ), where d ice is the ice cover thickness;

[0126] Child node control parameters: where d i is the ice thickness at the child node;

[0127] Example of span C master node decision: Monitoring data: T = -4.1 ° C, H = 96%, V = 8.3 m / s, d ice =10mm; Decision output: P m =90% (de-icing mode);

[0128] Child node A: d i =12mm,d avg =10mm; C i =90%×[1+0.5×(12-10)]=90%×2.0=180% → power increased to 180%;

[0129] Child node B: d i =8mm,d avg =10mm; C i =90%×[1+0.5×(8-10)]=90%×0=0%→standby mode.

[0130] Gear spacing A and B are similar.

[0131] Step 5: Dynamically adjust strategy selection

[0132] Power adjustment: ΔP = K p·e(t)+K i ·∫ e (t)dt+K d de(t) / dt, where K p =0.8,K i =0.2,K d =0.1; e(t) is the real-time deviation, e(t)=d target -d achual , the deviation between target ice thickness and actual value;

[0133] Example of dynamic adjustment of span C node:

[0134] Target ice thickness: d target =5mm;

[0135] Actual ice thickness: d achual =8mm;

[0136] Deviation: e(t) = 5-8 = -3 mm;

[0137] Deviation change rate: de(t) / dt = -0.5 mm / min;

[0138] ΔP = 0.8 × (-3) + 0.2 × ∫ (-3) dt + 0.1 × (-0.5) ≈ -2.4 - 0.6 - 0.05 = -3.05 (power needs to be increased by 305%);

[0139] Practical limit: Maximum power increased by 200%.

[0140] The present invention relates to a distributed layout method and system for active ice disaster prevention devices for overhead ground wires, which relates to the technical field of disaster prevention and mitigation of high-voltage transmission lines, and is particularly suitable for the deployment of ground wire ice disaster prevention and mitigation systems for transmission lines in multiple meteorological zones and with large elevation differences. During use, the present invention provides an optimized layout method for ice prevention devices based on micro-topography meteorological characteristics, which improves ice prevention efficiency by more than 40% and reduces energy consumption by 35%; the present invention establishes an adaptive matching model between device layout density and line parameters, achieving better ice prevention effects while reducing the number of devices by 25%; the present invention designs a collaborative working mechanism for groups of ice prevention devices, which extends the service life of the equipment by 30%; the present invention develops a hierarchical response layout strategy for ice risk, and a dynamic adjustment mechanism adapts to complex meteorological changes, improves system robustness, and effectively solves the problem of ice prevention blind spots for lines with large elevation differences; the present invention can solve the deployment problem of ground wire ice prevention devices for transmission lines with large elevation differences and multiple meteorological zones; the present invention has the advantages of establishing an adaptive matching model, constructing a collaborative working mechanism, establishing a hierarchical response layout strategy, and solving deployment problems.

[0141] Example 3

[0142] like Figure 2As shown, a distributed deployment system for overhead ground wire active ice disaster prevention devices includes a meteorological zoning module, a device density calculation module, a collaborative control module and a dynamic adjustment module. The distributed deployment system for overhead ground wire active ice disaster prevention devices is used to execute the distributed deployment method for overhead ground wire active ice disaster prevention devices as described above.

[0143] The meteorological zoning module is used to divide the line into several micro-meteorological segments based on historical icing data, calculate the icing risk index of each segment, and realize the micro-meteorological zoning of the line;

[0144] The device density calculation module is used to calculate the layout density factor based on the span and height difference, and realize the density calculation of the active ice disaster prevention device;

[0145] The collaborative control module achieves collaborative control by establishing a device group communication network, with the master node coordinating the sub-node working mode based on real-time meteorological data;

[0146] The dynamic adjustment module is used to automatically adjust the device operating parameters based on real-time ice coverage monitoring data through tension sensor feedback, thereby achieving dynamic adjustment of the device operating parameters.

[0147] The present invention relates to a distributed layout method and system for active ice disaster prevention devices for overhead ground wires, which relates to the technical field of disaster prevention and mitigation of high-voltage transmission lines, and is particularly suitable for the deployment of ground wire ice disaster prevention and mitigation systems for transmission lines in multiple meteorological zones and with large elevation differences. During use, the present invention provides an optimized layout method for ice prevention devices based on micro-topography meteorological characteristics, which improves ice prevention efficiency by more than 40% and reduces energy consumption by 35%; the present invention establishes an adaptive matching model between device layout density and line parameters, achieving better ice prevention effects while reducing the number of devices by 25%; the present invention designs a collaborative working mechanism for groups of ice prevention devices, which extends the service life of the equipment by 30%; the present invention develops a hierarchical response layout strategy for ice risk, and a dynamic adjustment mechanism adapts to complex meteorological changes, improves system robustness, and effectively solves the problem of ice prevention blind spots for lines with large elevation differences; the present invention can solve the deployment problem of ground wire ice prevention devices for transmission lines with large elevation differences and multiple meteorological zones; the present invention has the advantages of establishing an adaptive matching model, constructing a collaborative working mechanism, establishing a hierarchical response layout strategy, and solving deployment problems.

Claims

1. A distributed deployment method for overhead ground wire active ice disaster prevention devices, characterized by: The method comprises the following steps: Step 1: Line micro-meteorological zoning: Divide the line into several micro-meteorological segments based on historical icing data, and calculate the icing risk index for each segment; Step 2: Device density calculation: Calculate the layout density factor based on the span L and height difference Δh; Step 3: Key point layout: Set up master control device nodes in high-risk ice areas, lowest sag points, and elevation change points; Step 4: Collaborative control mechanism: Establish a device group communication network, and the master node coordinates the working mode of the sub-nodes based on real-time meteorological data; Step 5: Dynamic adjustment strategy: Based on real-time ice monitoring data, the device operating parameters are automatically adjusted through tension sensor feedback.

2. The distributed deployment method of an overhead ground wire active ice disaster prevention device according to claim 1, characterized in that: The calculation formula of the ice risk index of each section in step 1 is: R i =α·T+β·H+γ·V 0.5 , where R i is the icing risk index in the micrometeorological period; T is the temperature factor; H is the humidity factor; V is the wind speed factor; α, β, and γ are weight coefficients, satisfying α+β+γ=1.

3. The distributed deployment method of an overhead ground wire active ice disaster prevention device according to claim 2, characterized in that: The calculation formula of the arrangement density factor in step 2 is: ρ = [k·L·(1+0.02Δh)·R i ], where ρ is the layout density factor; k is the basic density coefficient; L is the span length; Δh is the absolute value of the height difference.

4. The distributed deployment method of an overhead ground wire active ice disaster prevention device according to claim 3, characterized in that: The identification of high-risk ice areas, positioning of the lowest sag point, and determination of the height difference mutation point in step 3 are specifically as follows: Identification of high-risk areas: R i Areas with a value of ≥0.75 are automatically identified as high-risk areas and must be equipped with master control nodes; Positioning the lowest point of sag: by the formula f=(L 2 ·g) / (8·σ) to calculate the sag, where g is the ground load; σ is the horizontal stress; Determination of height difference mutation point: adjacent level height difference change rate δ=|Δh i -Δh i-1 / L avg >0.15 is the mutation point, where Δh i , Δh i-1 are the absolute values ​​of the height difference between the i-th node and the i-1-th node; L avg is the average value of all node spans.

5. The distributed deployment method of an overhead ground wire active ice disaster prevention device according to claim 4, characterized in that: The master control device node arrangement rules in step 3 are specifically as follows: 1) Each micro-meteorological segment shall have at least one master control node; 2) R i For sections with a velocity greater than or equal to 0.85, one master control node is added every 300 meters; 3) The master control node must be deployed within 50 meters on both sides of the height difference mutation point; 4) The main control node must be arranged at the lowest point of the sag; 5) The minimum distance between master nodes is 150 meters and the maximum is 500 meters.

6. The distributed deployment method of an overhead ground wire active ice disaster prevention device according to claim 5, characterized in that: The collaborative control mechanism in step 4 is specifically: m =f(T,H,V,d ice ), where P m Decision output of the master node; d ice is the ice cover thickness; Among them, C i Control parameters for child nodes; d i is the ice thickness at the child node; d avg is the average ice thickness of all nodes; k d Difference response coefficient.

7. The distributed deployment method of an overhead ground wire active ice disaster prevention device according to claim 6, characterized in that: The dynamic adjustment process of the dynamic adjustment strategy in step 5 is as follows: 1) Real-time monitoring of ice thickness and tension changes; 2) Calculate the deviation e(t) between the actual value and the target value; 3) Calculate the power adjustment ΔP using the PID algorithm; 4) Issue adjustment instructions: P new =P current +ΔP,P new is the adjusted power; P current is the power before adjustment; 5) Evaluate the adjustment effect and update the control parameters; 6) Activate emergency mode when tension suddenly changes.

8. The distributed deployment method of an overhead ground wire active ice disaster prevention device according to claim 7, characterized in that: The power adjustment amount ΔP is calculated as follows: ΔP=K p ·e(t)+K i ·∫ e (t)dt+K d de(t) / dt, where ΔP is the power adjustment; e(t) is the real-time deviation; K p , K i , K d is the PID coefficient.

9. A distributed deployment system for active ice disaster prevention devices using overhead ground wires, comprising a weather zoning module, a device density calculation module, a collaborative control module, and a dynamic adjustment module, characterized in that: The distributed deployment system of the overhead ground wire active ice disaster prevention device is used to execute the distributed deployment method of the overhead ground wire active ice disaster prevention device according to any one of claims 1 to 8.

10. The distributed deployment system of overhead ground wire active ice disaster protection devices according to claim 9, characterized in that: The meteorological zoning module is used to divide the line into several micro-meteorological segments based on historical icing data, calculate the icing risk index of each segment, and realize the micro-meteorological zoning of the line; The device density calculation module is used to calculate the layout density factor based on the span and height difference, and realize the density calculation of the active ice disaster prevention device; The collaborative control module achieves collaborative control by establishing a device group communication network, with the master node coordinating the sub-node working mode based on real-time meteorological data; The dynamic adjustment module is used to automatically adjust the device operating parameters based on real-time ice coverage monitoring data through tension sensor feedback, thereby achieving dynamic adjustment of the device operating parameters.

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