Method and apparatus for determining filling ratio of high-thermal-conductivity material in cable, device, and medium

Abstract

A method and apparatus for determining the filling ratio of a high-thermal-conductivity material in a cable, a device, and a medium. The method comprises: building a simulation model for a cable trench, and determining, by means of the simulation model, the current-carrying capacities of a cable in the cable trench when filled with a thermally conductive material at different filling ratios (S101); calculating the total life cycle cost of the thermally conductive material for each filling ratio (S102); on the basis of the current-carrying capacity corresponding to each filling ratio, calculating the total economic benefit after filling with the thermally conductive material (S103); calculating the net profit for each filling ratio on the basis of the total economic benefit and the total life cycle cost (S104); and determining the filling ratio corresponding to the maximum net profit as a target filling ratio for the cable trench (S105).

Description

Methods, apparatus, equipment, and media for determining the filling ratio of high thermal conductivity materials in cables.

[0001] This application claims priority to Chinese Patent Application No. 202411761942.1, filed with the Chinese Patent Office on December 3, 2024, the entire contents of which are incorporated herein by reference. Technical Field

[0002] This application relates to the field of power transmission technology, for example to a method, apparatus, equipment and medium for determining the filling ratio of high thermal conductivity material in cables. Background Technology

[0003] Reducing the environmental thermal parameters of high-voltage cables can effectively improve the heat dissipation efficiency of the cables, thereby enhancing their current carrying capacity. High thermal conductivity materials have the characteristics of high stability and high thermal conductivity, and are widely used in cable heat dissipation.

[0004] In the filling of cable trenches with high thermal conductivity materials, the purpose of using these materials is to stimulate the current-carrying potential of the cable, increasing its current-carrying capacity while achieving better economic and environmental benefits. Therefore, determining the optimal filling ratio of high thermal conductivity materials in cable trenches is a key issue. Currently, there are two methods for determining the filling ratio of high thermal conductivity materials: the first method is to experimentally determine the thermal conductivity of the filling material to achieve the required standard, thereby determining the filling ratio; the second method is to measure the conductor temperature to select the filling ratio corresponding to the desired heat dissipation efficiency.

[0005] The above two methods are complex and require a lot of manpower and resources for experimental measurement. They only consider performance factors and ignore the economic costs in actual situations. Summary of the Invention

[0006] This application provides a method, apparatus, equipment, and medium for determining the filling ratio of high thermal conductivity material in cables, in order to solve the problem that determining the filling ratio of thermally conductive material in cable trenches through experimental and measurement methods requires a lot of manpower and resources, and only considers performance without taking into account economic costs.

[0007] In a first aspect, this application provides a method for determining the filling ratio of high thermal conductivity material in cables, including:

[0008] A simulation model of a cable trench is constructed, and the current-carrying value of the cable in the cable trench with different filling ratios of thermally conductive material is determined through the simulation model.

[0009] Calculate the total lifecycle cost of the thermally conductive material for each fill ratio;

[0010] The total economic benefit after filling the thermally conductive material is calculated based on the current carrying value corresponding to each filling ratio.

[0011] Net profit for each fill ratio is calculated using the total economic benefit and the total life cycle cost;

[0012] The filling ratio that maximizes net profit is determined as the target filling ratio for the cable trench.

[0013] Optionally, a simulation model of the cable trench is constructed, and the current-carrying value of the cable in the cable trench with different filling ratios of thermally conductive material is determined through the simulation model, including:

[0014] In a multiphysics modeling application, a simulation geometric model of the cable trench is constructed based on the cable trench's geometric dimensions and the stacking arrangement data of the cables within the trench.

[0015] Initialize the cable material properties, cable trench wall material properties, soil location, thermally conductive material properties, and thermal conductivity of the air domain in the simulation geometric model;

[0016] Set simulation boundary conditions;

[0017] The simulation model of the cable trench is used in the multiphysics modeling application to obtain the current carrying value I corresponding to different filling ratios α from 0% to 100%.

[0018] Optionally, set simulation boundary conditions, including:

[0019] Obtain historical monitoring data of the soil surrounding the cable trench;

[0020] The soil temperature within a preset range at the bottom of the cable trench is set based on the historical monitoring data;

[0021] Set the soil temperature within a pre-defined range on both sides of the cable trench;

[0022] The temperature of the soil and the convective heat dissipation coefficient of the air at the top wall of the cable trench are set.

[0023] Optionally, the total lifecycle cost of the thermally conductive material is calculated for each fill ratio, including:

[0024] The initial construction cost is calculated based on each filling ratio and the geometry of the cable trench. The calculation method is as follows:

[0025] Where x is the length of the cable trench, y is the width of the cable trench, h is the height of the cable trench, z is the unit volume cost of the thermal conductive material, and α is the filling ratio.

[0026] Calculate the cost of refilling the thermally conductive material at the end of its life cycle. The calculation method is as follows:

[0027] This indicates the cost of refilling the thermal conductive material. This represents the cost incurred during the k-th refill within a l-year lifespan. The present value, where i is the discount rate;

[0028] Calculate the operating cost of the cable trench. The calculation method is as follows:

[0029] This represents the operating costs incurred in year n. Let i represent the present value of operating costs over n years, and i represent the discount rate.

[0030] Calculate the initial construction cost Cost of lifecycle refill and operating costs The sum of the values ​​yields the total lifecycle cost of the thermally conductive material.

[0031] Optionally, the total economic benefit after filling the thermally conductive material is calculated based on the current carrying capacity corresponding to each filling ratio, including:

[0032] Calculate the first economic benefit P from reducing power outage losses. l P l The calculation method for P is as follows: l =A(1-e -t / τ )

[0033] t is the duration of the power outage, A is the cost of the power outage per unit of electricity, and τ is the time constant of the loss.

[0034] The second economic benefit L from reducing power outage losses is calculated as follows: L = LOLF × P2 + EENS × P3;

[0035] LOLF×P2 is the fault repair cost, LOLF is the frequency of power shortage, P2 is the average cost of fault inspection and repair, EENS×P3 is the profit loss caused by power outage, EENS is the expected value of power shortage, and P3 is the profit loss per unit of power outage, which depends on the difference between the purchase and sale price of electricity per unit of electricity and the compensation fee for users.

[0036] Calculate the third economic benefit K for each fill ratio corresponding to the current carrying capacity. The calculation method for K is as follows: K = 0.8U × I × 365 × 12 × L;

[0037] L represents the service life; U and I represent the rated voltage and current, respectively.

[0038] Calculate the first economic return p l The sum of (t), the second economic benefit L, and the third economic benefit K yields the total economic benefit for each fill ratio.

[0039] Optionally, the net profit for each fill ratio is calculated using the total economic benefit and the total lifecycle cost, including:

[0040] The net profit for each fill ratio is obtained by calculating the difference between the economic benefit and the total life cycle cost for each fill ratio.

[0041] Secondly, this application provides a device for determining the filling ratio of high thermal conductivity material in cables, comprising:

[0042] The simulation module is configured to construct a simulation model of the cable trench and determine the current-carrying value of the cable in the cable trench with different filling ratios of thermally conductive material through the simulation model.

[0043] The cost calculation module is configured to calculate the total lifecycle cost of the thermally conductive material for each filling ratio.

[0044] The economic benefit calculation module is configured to calculate the total economic benefit after filling the thermally conductive material based on the current carrying value corresponding to each filling ratio.

[0045] The profit calculation module is configured to calculate the net profit for each fill ratio using the total economic benefit and the total life cycle cost;

[0046] The target filling ratio determination module is set to determine the filling ratio that maximizes net profit as the target filling ratio of the cable trench.

[0047] Thirdly, this application provides an electronic device, the electronic device comprising:

[0048] At least one processor; and

[0049] A memory communicatively connected to the at least one processor; wherein,

[0050] The memory stores a computer program executable by the at least one processor, which enables the at least one processor to perform the method for determining the filling ratio of high thermal conductivity material in cables according to any one of the first aspects of this application.

[0051] Fourthly, this application provides a computer-readable storage medium storing computer instructions that, when executed by a processor, implement the method for determining the filling ratio of high thermal conductivity material in a cable as described in any of the first aspects of this application.

[0052] Fifthly, this application provides a computer program product, including a computer program that, when executed by a processor, implements the method for determining the filling ratio of high thermal conductivity material for cables as described in any of the first aspects.

[0053] This application embodiment simulates the current-carrying capacity of cables when filled with different proportions of thermally conductive material by constructing a simulation model of the cable trench. The current-carrying values ​​corresponding to different filling proportions are obtained. Then, the total lifecycle cost of the thermally conductive material with different filling proportions is calculated, along with the total economic benefit after filling the trench using the current-carrying values ​​corresponding to different filling proportions. The net profit for each filling proportion is calculated using the total economic benefit and total cost. The filling proportion with the highest net profit is determined as the target filling proportion of the cable trench. Filling the cable trench with thermally conductive material according to this target filling proportion eliminates the need for manual experimental measurement to determine the filling proportion, saving significant manpower and resources. Furthermore, considering both the total cost and economic benefit of different filling proportions to determine the final target filling proportion, it takes into account both performance and economic cost. Filling the thermally conductive material with the target filling proportion achieves optimal performance and economic benefits. Attached Figure Description

[0054] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0055] Figure 1 is a flowchart of a method for determining the filling ratio of high thermal conductivity material in a cable according to Embodiment 1 of this application;

[0056] Figure 2 is a flowchart of a method for determining the filling ratio of high thermal conductivity material in a cable according to Embodiment 2 of this application;

[0057] Figure 3 is a schematic diagram of the cable trench simulation model;

[0058] Figure 4 is a schematic diagram of a device for determining the filling ratio of high thermal conductivity material for cables provided in Embodiment 3 of this application;

[0059] Figure 5 is a schematic diagram of the structure of the electronic device provided in Embodiment 4 of this application. Detailed Implementation

[0060] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of protection of the present application.

[0061] Example 1

[0062] Figure 1 is a flowchart of a method for determining the filling ratio of high thermal conductivity material in a cable according to Embodiment 1 of this application. This embodiment is applicable to determining the filling ratio of thermally conductive material in a cable trench. This method can be executed by a device for determining the filling ratio of high thermal conductivity material in a cable. This device can be implemented in hardware and / or software and can be configured in an electronic device. As shown in Figure 1, the method for determining the filling ratio of high thermal conductivity material in a cable includes:

[0063] S101. Construct a simulation model of the cable trench and determine the current carrying capacity of the cable in the cable trench with different filling ratios of thermally conductive material through the simulation model.

[0064] This embodiment is used to determine the filling ratio of thermally conductive material in a cable trench. The cable trench can be a cable trench buried underground, and power transmission cables can be laid in the cable trench. The cross-section of the cable trench can be square or circular. This embodiment uses a square cross-section of the cable trench as an example for illustration, but there is no limitation on the cross-section of the cable trench.

[0065] This embodiment can establish a simulation model of the cable trench in the multiphysics modeling application (COMSOL) based on the coupling effect between the electric field, temperature field and fluid field in the cable trench, as well as the geometric dimensions of the cable trench, the cable arrangement in the cable trench, the performance data of the thermal conductive material, the historical temperature data of the soil where the cable trench is located, and air data. This simulation model is used to simulate the current carrying capacity of the cable under different filling ratios of thermal conductive material to obtain the current carrying capacity corresponding to different filling ratios.

[0066] S102. Calculate the total lifecycle cost of the thermally conductive material for each filler ratio.

[0067] In this embodiment, the cost required for thermally conductive materials with different filling ratios is different. The total life cycle cost can be calculated for each filling ratio of thermally conductive material. The total life cycle cost can include the construction cost when the thermally conductive material is initially filled, the operating cost, and the cost of refilling the thermally conductive material at the end of the life cycle. In this embodiment, the construction cost can be calculated by the filling ratio, the unit price of the thermally conductive material, and the geometric dimensions of the cable trench. The operating cost can be calculated by the line management fee, the monitoring fee for the performance of the thermally conductive material, and the manpower and material resources required to reduce the performance of the thermally conductive material. The refilling cost can be calculated by the number of fillings, the filling cost, and the discount rate. The total life cycle cost of filling the cable trench with thermally conductive material according to each filling ratio is obtained by calculating the construction cost, operating cost, and refilling cost.

[0068] S103. Calculate the total economic benefit after filling with thermally conductive material based on the current carrying value corresponding to each filling ratio.

[0069] In this embodiment, the total economic benefit can refer to the increased economic benefit after filling the cable trench with thermally conductive material according to each filling ratio. Specifically, the total economic benefit can include the first and second economic benefits generated by reducing power outages after filling with thermally conductive material, as well as the third economic benefit generated by improving the current carrying capacity of the cable after filling with thermally conductive material.

[0070] S104. Calculate the net profit for each fill ratio using total economic benefits and total life cycle cost.

[0071] Specifically, after calculating the total economic benefit and total life cycle cost for each fill ratio, the difference between the total economic benefit and the total life cycle cost is calculated to obtain the net profit for each fill ratio.

[0072] S105. The filling ratio that maximizes net profit is determined as the target filling ratio for the cable trench.

[0073] For each filling ratio within the range of 0-100%, it can be sorted from high to low according to net profit, and the filling ratio ranked first is determined as the target filling ratio for the cable trench.

[0074] This application embodiment simulates the current-carrying capacity of cables when filled with different proportions of thermally conductive material by constructing a simulation model of the cable trench. The current-carrying values ​​corresponding to different filling proportions are obtained. Then, the total lifecycle cost of the thermally conductive material with different filling proportions is calculated, along with the total economic benefit after filling the trench using the current-carrying values ​​corresponding to different filling proportions. The net profit for each filling proportion is calculated using the total economic benefit and total cost. The filling proportion with the highest net profit is determined as the target filling proportion of the cable trench. Filling the cable trench with thermally conductive material according to this target filling proportion eliminates the need for manual experimental measurement to determine the filling proportion, saving significant manpower and resources. Furthermore, considering both the total cost and economic benefit of different filling proportions to determine the final target filling proportion, it takes into account both performance and economic cost. Filling the thermally conductive material with the target filling proportion achieves optimal performance and economic benefits.

[0075] Example 2

[0076] Figure 2 is a flowchart of a method for determining the filling ratio of high thermal conductivity material in a cable according to Embodiment 2 of this application. This embodiment is an optimization based on Embodiment 1 above. As shown in Figure 2, the method for determining the filling ratio of high thermal conductivity material in a cable includes:

[0077] S201. In a multiphysics modeling application, construct a simulation geometric model of the cable trench based on the cable trench's geometric dimensions and the stacking arrangement data of the cables within the trench.

[0078] The multiphysics modeling application in this embodiment can be COMSOL Multiphysics. COMSOL Multiphysics is a multiphysics simulation software based on the finite element method, which is widely used in scientific research and engineering calculations. It simulates real physical phenomena by solving partial differential equations (single field) or systems of partial differential equations (multi-field coupling). It can simulate a single physical field and flexibly couple multiple physical fields. The application provides a wealth of additional modules, including professional analysis function modules in the fields of electromagnetics, structural mechanics, acoustics, fluid flow, heat transfer and chemical engineering.

[0079] Specifically, in the modeling module of the application, a simulation geometric model of the cable trench can be constructed based on data such as the length, width, height of the cable trench, the thickness of the trench wall, and the position of the cable in the cable trench. Figure 3 shows a schematic diagram of the simulation geometric model of the cable trench, with a width of W, a height of H, a length of L, a distance of D1 between the cable and the bottom wall, a distance of D2 between the cable and the left side wall, and the top wall being flush with the ground.

[0080] In another embodiment, a pre-built simulation geometric model can also be imported into the modeling module of the application, such as importing a CAD drawing of a cable trench into the modeling module to generate a simulation geometric model.

[0081] S202. Initialize the cable material properties, cable trench wall material properties, soil location, thermally conductive material properties, and thermal conductivity of the air domain in the simulation geometric model.

[0082] Specifically, you can select the physical fields required for simulation in the application, such as electric fields, temperature fields, magnetic fields, etc., and then initialize the corresponding simulation parameters. For example, you can select or directly set the materials of the cable in the cable trench in the application's material library, such as the metal material of the cable core, the material of the insulating sheath, the material composition of the cable trench wall, the orientation of the soil relative to the cable trench (as shown in Figure 3, the soil is located on the left and right sides and below the cable trench), the material and thermal conductivity of the filling thermal conductive material, and the thermal conductivity of the air, etc.

[0083] S203. Set simulation boundary conditions.

[0084] In this embodiment, the simulated boundary condition can refer to the heat dissipation boundary of the space around the cable trench, that is, the boundary of the soil or air around the cable trench. In one embodiment, historical monitoring data of the soil around the cable trench can be obtained. The historical monitoring data can be soil temperature monitoring data. Based on the historical monitoring data, the soil temperature in a preset range at the bottom of the cable trench is set, the soil temperature in a preset range on the left and right side walls of the cable trench is set, and the soil temperature and air convection heat dissipation coefficient of the top wall of the cable trench are set.

[0085] For example, as shown in Figure 3, the temperature of the soil within 3000mm of the bottom of the cable trench (first boundary) can be set, the temperature of the soil within 3000mm of the left and right sides of the cable trench (second boundary) can be set, and the convective heat dissipation coefficient of the air at the top wall of the cable trench (third boundary) can be set.

[0086] By constructing a simulation geometric model and setting the corresponding parameters and simulation boundaries, the simulation geometric model of the cable trench can be obtained.

[0087] S204. Simulate the cable trench based on the simulation model in the multiphysics modeling application to obtain the current carrying value I corresponding to different filling ratios α from 0% to 100%.

[0088] Specifically, in this embodiment, the increment step of the filling ratio is set, such as 0.5%, 1%, etc. After the simulation starts, the filling ratio α starts from 0% and increases to 100% according to the set increment step, so as to obtain the current carrying value I corresponding to each filling ratio α. The current carrying value I is the maximum current value that the cable can carry in the cable trench.

[0089] S205. Calculate the initial construction cost based on each filling ratio and the geometry of the cable trench.

[0090] Specifically, the initial construction cost can be calculated using the following formula.

[0091] Where x is the length of the cable trench, y is the width of the cable trench, h is the height of the cable trench, z is the unit volume cost of the thermally conductive material, and α is the filling ratio, where α can be the ratio of the filling height of the thermally conductive material in the cable trench to the height h of the cable trench.

[0092] S206. Calculate the cost of refilling the thermally conductive material at the end of its life cycle.

[0093] Specifically, the cost of lifetime refill can be calculated using the following formula.

[0094] This indicates the cost of refilling the thermal conductive material. This represents the cost incurred during the k-th refill in the lifecycle. The present value, where i is the discount rate;

[0095] S207. Calculate the operating cost of the cable trench.

[0096] Specifically, operating costs can be calculated using the following formula.

[0097] This represents the operating costs incurred in year n. Let i represent the present value of operating costs over n years, and i represent the discount rate. Operating expenses... This may include line management costs, thermal conductivity material performance monitoring costs, and manpower and material costs incurred due to the reduction in thermal conductivity material performance caused by moisture evaporation.

[0098] S208. Calculate the total lifecycle cost of the thermal conductive material by summing the initial construction cost, the cost of lifecycle refilling, and the operating cost.

[0099] Specifically,

[0100] S209. Calculate the first economic benefit P from reducing power outage losses. l And the second economic benefit L.

[0101] Among them, the first economic benefit P l The benefit of reducing electricity consumption after a power outage, the second economic benefit L can be the savings in power outage maintenance revenue and economic profit from reducing power outages. The specific calculation formula is as follows: P l =A(1-e -t / τL = LOLF × P2 + EENS × P3;

[0102] t represents the duration of the power outage, A represents the cost per unit of electricity lost during the power outage, τ represents the time constant of the loss, LOLF×P2 represents the cost of fault repair, LOLF represents the frequency of insufficient power, P2 represents the average cost of fault inspection and repair, EENS×P3 represents the profit loss caused by the power outage, EENS represents the expected value of insufficient power, and P3 represents the profit loss per unit of power outage, which depends on the difference between the purchase and sale price of electricity per unit of electricity and the compensation fee to users. It should be noted that the duration of the power outage t, the cost per unit of electricity lost during the power outage A, the frequency of insufficient power LOLF, the average cost of fault inspection and repair P2, the expected value of insufficient power EENS, and the profit loss per unit of power outage P3 can all be determined by statistical analysis of historical data of the downstream lines of the cable in the cable trench.

[0103] S210. Calculate the third economic benefit of the current carrying capacity corresponding to each filling ratio.

[0104] After filling with thermally conductive material, the current carrying capacity of the cable increases, enabling it to transmit more electrical energy and generate corresponding economic benefits. Specifically, the third economic benefit K can be calculated using the following formula: K = 0.8U × I × 365 × 12 × L;

[0105] L represents the service life, and U and I represent the rated voltage and current (current carrying capacity), respectively.

[0106] S211. Calculate the sum of the first economic benefit, the second economic benefit, and the third economic benefit to obtain the total economic benefit for each fill ratio.

[0107] Total economic benefit per fill ratio = K + L + P l .

[0108] S212. Calculate the difference between the economic benefit and the total life cycle cost for each fill ratio to obtain the net profit for each fill ratio.

[0109] Specifically, the net profit W for each fill ratio α is as follows:

[0110] S213. The filling ratio that maximizes net profit is determined as the target filling ratio for the cable trench.

[0111] For each filling ratio within the range of 0-100%, it can be sorted from high to low according to net profit, and the filling ratio ranked first is determined as the target filling ratio for the cable trench.

[0112] This application embodiment simulates the current-carrying capacity of cables when filled with different proportions of thermally conductive material by constructing a simulation model of the cable trench. The current-carrying values ​​corresponding to different filling proportions are obtained. Then, the total lifecycle cost is calculated by summing the initial construction cost, refilling cost, and operating cost of the thermally conductive material with different filling proportions. The total economic benefit is calculated by summing the first economic benefit (reducing power outage losses), the second economic benefit, and the third economic benefit (increasing current-carrying capacity). The net profit for each filling proportion is calculated using the total economic benefit and total cost. The filling proportion with the highest net profit is determined as the target filling proportion for the cable trench. Filling the cable trench with thermally conductive material according to this target filling proportion eliminates the need for manual experimental measurement to determine the filling proportion, saving significant manpower and resources. Furthermore, considering both the total cost and economic benefit of different filling proportions to determine the final target filling proportion, it takes into account both performance and economic cost. Filling the thermally conductive material with the target filling proportion achieves optimal performance and economic benefits.

[0113] Example 3

[0114] Figure 4 is a schematic diagram of a device for determining the filling ratio of high thermal conductivity material in a cable according to Embodiment 3 of this application. As shown in Figure 4, the device for determining the filling ratio of high thermal conductivity material in a cable includes:

[0115] Simulation module 401 is used to construct a simulation model of the cable trench and determine the current carrying capacity of the cable in the cable trench when the thermally conductive material has different filling ratios through the simulation model.

[0116] Cost calculation module 402 is used to calculate the total life cycle cost of the thermally conductive material for each filling ratio;

[0117] The economic benefit calculation module 403 is used to calculate the total economic benefit after filling the thermally conductive material based on the current carrying value corresponding to each filling ratio.

[0118] Profit calculation module 404 is used to calculate the net profit for each fill ratio using the total economic benefit and the total life cycle cost;

[0119] The target filling ratio determination module 405 is used to determine the filling ratio that maximizes net profit as the target filling ratio of the cable trench.

[0120] Optionally, simulation module 401 includes:

[0121] The simulation geometry model building unit is used to build a simulation geometry model of the cable trench in a multiphysics modeling application based on the geometric dimensions of the cable trench and the stacking arrangement data of the cables in the cable trench.

[0122] The parameter initialization unit is used to initialize the cable material properties, cable trench wall material properties, soil location, thermally conductive material properties, and thermal conductivity of the air domain in the simulation geometric model.

[0123] The simulation boundary setting unit is used to set the simulation boundary conditions;

[0124] The simulation unit is used to perform simulation based on the simulation model of the cable trench in the multiphysics modeling application to obtain the current carrying value I corresponding to different filling ratios α from 0% to 100%.

[0125] Optionally, the simulation boundary setting unit includes:

[0126] The historical monitoring data acquisition unit is used to acquire historical monitoring data of the soil around the cable trench;

[0127] The bottom boundary setting unit is used to set the soil temperature within a preset range at the bottom of the cable trench based on the historical monitoring data.

[0128] Left and right boundary setting units are used to set the temperature of the soil within a preset range on the left and right sides of the cable trench;

[0129] The top boundary setting unit is used to set the soil temperature and air convection heat dissipation coefficient of the top wall of the cable trench.

[0130] Optionally, the cost calculation module 402 includes:

[0131] Construction cost calculation unit, used to calculate the initial construction cost based on each filling ratio and the geometry of the cable trench. The specific calculation method is as follows:

[0132] Where x is the length of the cable trench, y is the width of the cable trench, h is the height of the cable trench, z is the unit volume cost of the thermal conductive material, and α is the filling ratio.

[0133] The refill cost calculation unit is used to calculate the cost of refilling the thermally conductive material at the end of its life cycle. The specific calculation method is as follows:

[0134] This indicates the cost of refilling the thermal conductive material. This represents the cost incurred during the k-th refill within a l-year lifespan. The present value, where i is the discount rate;

[0135] An operating cost calculation unit is used to calculate the operating cost of the cable trench. The specific calculation method is as follows:

[0136] This represents the operating costs incurred in year n. Let i represent the present value of operating costs over n years, and i represent the discount rate.

[0137] The total cost calculation unit is used to calculate the initial construction cost. Cost of lifecycle refill and operating costs The sum of the values ​​yields the total lifecycle cost of the thermally conductive material.

[0138] Optionally, the economic benefit calculation module 403 includes:

[0139] The first economic benefit calculation unit is used to calculate the first economic benefit P from reducing power outage losses. l The specific calculation method is as follows: P l =A(1-e -t / τ );

[0140] t is the duration of the power outage, A is the cost of the power outage per unit of electricity, and τ is the time constant of the loss.

[0141] The second economic benefit calculation unit is used to calculate the second economic benefit L for reducing power outage losses. The specific calculation method is as follows: L=LOLF×P2+EENS×P3;

[0142] LOLF×P2 is the fault repair cost, LOLF is the frequency of power shortage, P2 is the average cost of fault inspection and repair, EENS×P3 is the profit loss caused by power outage, EENS is the expected value of power shortage, and P3 is the profit loss per unit of power outage, which depends on the difference between the purchase and sale price of electricity per unit of electricity and the compensation fee for users.

[0143] The third economic benefit calculation unit is used to calculate the third economic benefit K of the current carrying value corresponding to each filling ratio. The specific calculation method is as follows: K = 0.8U × I × 365 × 12 × L;

[0144] L represents the service life; U and I represent the rated voltage and current, respectively.

[0145] The total revenue calculation unit is used to calculate the first economic revenue P. l The sum of the second economic benefit L and the third economic benefit K yields the total economic benefit for each filling ratio.

[0146] Optionally, the profit calculation module 404 includes:

[0147] The net profit calculation unit is used to calculate the difference between the economic benefit and the total life cycle cost for each fill ratio to obtain the net profit for each fill ratio.

[0148] The cable high thermal conductivity material filling ratio determination device provided in this application embodiment can execute the cable high thermal conductivity material filling ratio determination method provided in any embodiment of this application, and has the corresponding functional modules and effects of the execution method.

[0149] Example 4

[0150] Figure 5 illustrates a schematic diagram of an electronic device 40 that can be used to implement embodiments of this application. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the application described and / or claimed herein.

[0151] As shown in Figure 5, the electronic device 40 includes at least one processor 41 and a memory, such as a read-only memory (ROM) 42 and a random access memory (RAM) 43, communicatively connected to the at least one processor 41. The memory stores computer programs executable by the at least one processor. The processor 41 can perform various appropriate actions and processes based on the computer program stored in the ROM 42 or loaded into the RAM 43 from storage unit 48. The RAM 43 can also store various programs and data required for the operation of the electronic device 40. The processor 41, ROM 42, and RAM 43 are interconnected via a bus 44. An input / output (I / O) interface 45 is also connected to the bus 44.

[0152] Multiple components in electronic device 40 are connected to I / O interface 45, including: input unit 46, such as keyboard, mouse, etc.; output unit 47, such as various types of monitors, speakers, etc.; storage unit 48, such as disk, optical disk, etc.; and communication unit 49, such as network card, modem, wireless transceiver, etc. Communication unit 49 allows electronic device 40 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0153] Processor 41 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 41 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 41 performs the various methods and processes described above, such as the method for determining the filling ratio of high thermal conductivity material in cables.

[0154] In some embodiments, the method for determining the fill ratio of high thermal conductivity material in a cable can be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 48. In some embodiments, part or all of the computer program can be loaded and / or mounted on electronic device 40 via ROM 42 and / or communication unit 49. When the computer program is loaded into RAM 43 and executed by processor 41, one or more steps of the method for determining the fill ratio of high thermal conductivity material in a cable described above can be performed. Alternatively, in other embodiments, processor 41 can be configured to perform the method for determining the fill ratio of high thermal conductivity material in a cable by any other suitable means (e.g., by means of firmware).

[0155] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0156] Computer programs used to implement the methods of this application may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0157] In the context of this application, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium can be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0158] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0159] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0160] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0161] It should be understood that the various forms of processes shown above can be used to rearrange, add, or delete steps. For example, the steps described in this application can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this application can be achieved, and this is not limited herein.

Claims

1. A method for determining the filling ratio of high thermal conductivity material in cables, comprising: A simulation model of a cable trench is constructed, and the current-carrying value of the cable in the cable trench with different filling ratios of thermally conductive material is determined through the simulation model. Calculate the total lifecycle cost of the thermally conductive material for each fill ratio; The total economic benefit after filling the thermally conductive material is calculated based on the current carrying value corresponding to each filling ratio. Net profit for each fill ratio is calculated using the total economic benefit and the total life cycle cost; The filling ratio that maximizes net profit is determined as the target filling ratio for the cable trench.

2. The method for determining the filling ratio of high thermal conductivity material in cables according to claim 1, wherein, A simulation model of the cable trench is constructed, and the current-carrying value of the cable in the cable trench with different filling ratios of thermally conductive material is determined using the simulation model, including: In a multiphysics modeling application, a simulation geometric model of the cable trench is constructed based on the cable trench's geometric dimensions and the stacking arrangement data of the cables within the trench. Initialize the cable material properties, cable trench wall material properties, soil location, thermally conductive material properties, and thermal conductivity of the air domain in the simulation geometric model; Set simulation boundary conditions; The simulation model of the cable trench is used in the multiphysics modeling application to obtain the current carrying value I corresponding to different filling ratios α from 0% to 100%.

3. The method for determining the filling ratio of high thermal conductivity material in cables according to claim 2, wherein, Set simulation boundary conditions, including: Obtain historical monitoring data of the soil surrounding the cable trench; The soil temperature within a preset range at the bottom of the cable trench is set based on the historical monitoring data; Set the soil temperature within a pre-defined range on both sides of the cable trench; The temperature of the soil and the convective heat dissipation coefficient of the air at the top wall of the cable trench are set.

4. The method for determining the filling ratio of high thermal conductivity material in cables according to claim 1, wherein, Calculate the total lifecycle cost of the thermally conductive material for each fill ratio, including: The initial construction cost is calculated based on each filling ratio and the geometry of the cable trench. The calculation method is as follows: Where x is the length of the cable trench, y is the width of the cable trench, h is the height of the cable trench, z is the unit volume cost of the thermal conductive material, and α is the filling ratio. Calculate the cost of refilling the thermally conductive material at the end of its life cycle. The calculation is as follows: This indicates the cost of refilling the thermal conductive material. represents the cost generated by the kth refill in the life cycle The present value, where i is the discount rate; calculating an operating cost of the cable trench The calculation is as follows: This represents the operating costs incurred in year n. Let i represent the present value of operating costs over n years, and i represent the discount rate. calculating the initial construction cost Cost of life cycle refills and operating costs The sum of the values ​​yields the total lifecycle cost of the thermally conductive material.

5. The method for determining the filling ratio of high thermal conductivity material in cables according to claim 1, wherein, The total economic benefit after filling the thermally conductive material is calculated based on the current carrying capacity corresponding to each filling ratio, including: A first economic gain P is calculated which reduces the loss of power l , P l is calculated as follows: P l = A(1 - e -t / τ ); t is the duration of the power outage, A is the cost of the power outage per unit of electricity, and τ is the time constant of the loss. The second economic benefit L from reducing power outage losses is calculated as follows: L = LOLF × P2 + EENS × P3; LOLF×P2 is the fault repair cost, LOLF is the frequency of power shortage, P2 is the average cost of fault inspection and repair, EENS×P3 is the profit loss caused by power outage, EENS is the expected value of power shortage, and P3 is the profit loss per unit of power outage, which depends on the difference between the purchase and sale price of electricity per unit of electricity and the compensation fee for users. Calculate the third economic benefit K for each fill ratio corresponding to the current carrying capacity. The calculation method for K is as follows: K = 0.8U × I × 365 × 12 × L; L represents the service life, and U and I represent the rated voltage and current, respectively. The sum of the first economic benefit P, the second economic benefit L and the third economic benefit K gives the total economic benefit for each filling ratio. l , 6. The method of determining the filling ratio of the high thermal conductive material for the cable according to any one of claims 1 to 5, wherein, The net profit for each fill ratio is calculated using the total economic benefit and the total lifecycle cost, including: The net profit for each fill ratio is obtained by calculating the difference between the economic benefit and the total life cycle cost for each fill ratio.

7. A device for determining the filling ratio of high thermal conductivity material in cables, comprising: The simulation module is configured to construct a simulation model of the cable trench and determine the current-carrying value of the cable in the cable trench with different filling ratios of thermally conductive material through the simulation model. The cost calculation module is configured to calculate the total lifecycle cost of the thermally conductive material for each filling ratio. The economic benefit calculation module is configured to calculate the total economic benefit after filling the thermally conductive material based on the current carrying value corresponding to each filling ratio. The profit calculation module is configured to calculate the net profit for each fill ratio using the total economic benefit and the total life cycle cost; The target filling ratio determination module is set to determine the filling ratio that maximizes net profit as the target filling ratio of the cable trench.

8. An electronic device, comprising: At least one processor; as well as A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor to enable the at least one processor to perform the method for determining the filling ratio of high thermal conductivity material for cables according to any one of claims 1-6.

9. A computer-readable storage medium storing computer instructions for causing a processor to execute the method for determining the filling ratio of high thermal conductivity material in a cable as described in any one of claims 1-6.

10. A computer program product comprising a computer program that, when executed by a processor, implements the method for determining the filling ratio of high thermal conductivity material for cables according to any one of claims 1-6.

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