Cable current-carrying capacity determination method and device, electronic equipment and storage medium

Abstract

The invention discloses a cable current-carrying capacity determination method and device, electronic equipment and a storage medium, and the method comprises the steps: dividing a target cable into n cable sections (n is an integer greater than 1), determining the temperature of each of the n cable sections to obtain n temperature values, determining the maximum temperature value of the n temperature values, and determining the current-carrying capacity of the target cable according to the maximum temperature value. The method comprises the following steps: acquiring a maximum temperature value of a target cable, determining the current-carrying capacity of the target cable based on the maximum temperature value to obtain a reference current-carrying capacity, determining a cable section corresponding to the maximum temperature value to obtain a target cable section, determining soil parameters corresponding to the target cable section, and finally adjusting the reference current-carrying capacity based on the soil parameters to obtain the target cable section. And obtaining the first target current-carrying capacity. By adopting the embodiment of the invention, the accuracy of determining the current-carrying capacity of the cable is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of cable current carrying capacity determination, and in particular to a cable current carrying capacity determination method, device, electronic equipment and storage medium. Background Art

[0002] In power transmission systems, accurate calculation of cable current carrying capacity is crucial for ensuring safe and economical grid operation. Traditional methods for determining current carrying capacity often simplify the cable and its installation environment into a homogeneous model, ignoring the spatial distribution of soil thermal properties and the non-uniformity of temperature along the cable. When cables traverse varying soil regions, traditional methods are unable to accurately assess areas with weak heat dissipation, which can lead to errors in current carrying capacity calculations. Therefore, improving the accuracy of cable current carrying capacity determination is an urgent issue. Summary of the Invention

[0003] The embodiments of the present application provide a method, device, electronic device, and storage medium for determining the current carrying capacity of a cable, thereby improving the accuracy of determining the current carrying capacity of the cable.

[0004] In a first aspect, an embodiment of the present application provides a method for determining the current carrying capacity of a cable, comprising:

[0005] Divide the target cable into n cable sections; n is an integer greater than 1;

[0006] determining the temperature of each of the n cable sections to obtain n temperature values;

[0007] Determining a maximum temperature value among the n temperature values;

[0008] Determine the current carrying capacity of the target cable based on the maximum temperature value to obtain a reference current carrying capacity;

[0009] Determine the cable section corresponding to the maximum temperature value to obtain a target cable section;

[0010] determining soil parameters corresponding to the target cable section;

[0011] The reference ampacity is adjusted based on the soil parameters to obtain a first target ampacity.

[0012] In a second aspect, an embodiment of the present application provides a device for determining a cable current carrying capacity, the device comprising: a dividing unit and a processing unit;

[0013] The dividing unit is used to divide the target cable into n cable segments; n is an integer greater than 1;

[0014] The processing unit is configured to determine the temperature of each of the n cable segments to obtain n temperature values;

[0015] Determining a maximum temperature value among the n temperature values;

[0016] Determine the current carrying capacity of the target cable based on the maximum temperature value to obtain a reference current carrying capacity;

[0017] Determine the cable section corresponding to the maximum temperature value to obtain a target cable section;

[0018] determining soil parameters corresponding to the target cable section;

[0019] The reference ampacity is adjusted based on the soil parameters to obtain a first target ampacity.

[0020] In a third aspect, an embodiment of the present invention provides an electronic device comprising: a processor, a memory, a communication interface, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor so that the electronic device performs the method of the first aspect.

[0021] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and the computer program is executed by a processor to implement the method of the first aspect.

[0022] In a fifth aspect, an embodiment of the present invention provides a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, so that a computer executes the method of the first aspect.

[0023] The implementation of the present invention has the following beneficial effects:

[0024] It can be seen that the cable current-carrying capacity determination method described in the embodiment of the present invention first divides the target cable into n cable sections, where n is an integer greater than 1, and then determines the temperature of each cable section in the n cable sections to obtain n temperature values, and then determines the maximum temperature value among the n temperature values, and then determines the current-carrying capacity of the target cable based on the maximum temperature value to obtain a reference current-carrying capacity, and then determines the cable section corresponding to the maximum temperature value to obtain a target cable section, and then determines the soil parameters corresponding to the target cable section, and finally adjusts the reference current-carrying capacity based on the soil parameters to obtain a first target current-carrying capacity. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the technical solutions in the implementation methods or background technologies of the present application, the drawings required for use in the implementation methods or background technologies of the present application will be described below.

[0026] Figure 1 This is a flow chart of a method for determining cable current carrying capacity provided by an embodiment of the present application;

[0027] Figure 2 This is a flow chart for determining a first target current carrying capacity provided by an embodiment of the present application;

[0028] Figure 3 This is another flow chart for determining a first target current carrying capacity provided by an embodiment of the present application;

[0029] Figure 4 This is a flow chart for determining soil quality value provided by an embodiment of the present application;

[0030] Figure 5 This is a flow chart for shutting down an electrical device provided by an embodiment of the present application;

[0031] Figure 6 This is a flow chart for determining a load importance value corresponding to a first electrical device provided by an embodiment of the present application;

[0032] Figure 7 This is a schematic structural diagram of a cable current carrying capacity determination device provided in an embodiment of the present application;

[0033] Figure 8 It is a structural diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0034] In order to enable those skilled in the art to better understand the present invention, the following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0035] The terms "first," "second," and the like in the specification and claims of this application and the accompanying drawings are used to distinguish between different objects, not to describe a particular order. Furthermore, the terms "including," "having," and any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or apparatus comprising a series of steps or elements is not limited to the listed steps or elements but may optionally include steps or elements not listed, or may optionally include other steps or elements inherent to the process, method, product, or apparatus.

[0036] Reference herein to an "embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the present application. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it refer to independent or alternative embodiments that are mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0037] See also Figure 1 , Figure 1 This is a flow chart of a method for determining cable current carrying capacity provided by an embodiment of the present application, including but not limited to the following steps:

[0038] S101: Divide the target cable into n cable segments.

[0039] In this embodiment, n is an integer greater than 1. Traditional cable current-carrying capacity calculations usually treat the entire cable as a homogeneous body, assuming that its temperature distribution and heat dissipation conditions are consistent along the cable (such as calculations based on average soil thermal resistance and uniform ambient temperature). However, the cable may pass through different soil types (such as sand, clay, and backfill soil), and the heat dissipation capacity of each section may vary significantly. The laying environment may have local heat sources (such as near thermal pipelines) or heat dissipation obstacles (such as building obstructions), resulting in non-uniform temperature distribution. The cable's own load distribution may also be uneven (such as greater current near branch nodes). If segmented analysis is not performed, the current-carrying capacity calculation may be optimistic due to ignoring local high-temperature sections, causing cable overload and aging, or capacity waste due to overall conservative calculations. Therefore, the target cable needs to be divided into n cable sections.

[0040] It needs to be explained that the cable can be segmented at fixed intervals (such as 50 meters, 100 meters), which is suitable for scenarios with relatively uniform laying environments (such as long-distance cables laid directly in the ground). It can also be segmented according to the change points of boundary conditions such as soil type, laying method (direct burial / pipe / tunnel), surrounding heat sources, etc. It can also be segmented according to the change points of cable model (such as the change in cross-sectional area), joint location, and load branch point, so that the segment division is associated with the thermal characteristics of the cable.

[0041] S102: Determine the temperature of each of the n cable sections to obtain n temperature values.

[0042] In this embodiment, the current carrying capacity of the cable is closely related to its operating temperature. Excessively high temperature will accelerate insulation aging, reduce service life, and even cause safety accidents. Therefore, accurately obtaining the temperature of each section is the core prerequisite for evaluating the current carrying capacity. The temperature measurement of the cable is carried out in sections to capture the temperature non-uniformity along the cable (such as different burial depths, differences in soil thermal resistance, influence of surrounding heat sources, etc.) to avoid the risk of local overheating being masked by the overall average temperature.

[0043] Sensors can be buried on the surface of the cable section or in the soil nearby, connected to the collection equipment through wires, and the temperature can be measured in real time. This is suitable for directly buried cables. Attention should be paid to the tightness of the contact between the sensor and the cable to avoid measurement errors. Distributed fiber optic sensing technology can also be used to lay optical fibers along the cable. The temperature is calculated by the wavelength shift of the reflected light after laser pulse excitation (Raman scattering effect). This can achieve continuous temperature measurement with millimeter-level spatial resolution and is suitable for long-distance cables and complex environments. The thermal radiation imaging of the cable surface can also be scanned to quickly locate high-temperature sections, but it is affected by ambient light and cable surface obstruction. It is suitable for inspections of exposed cables, and directly buried cables need to be reversed in combination with soil temperature.

[0044] For example, first divide the cable into sections according to the cable length and the uniformity of the laying environment (such as every 50 meters or the place where the environment changes) to ensure that the environmental parameters within the section (soil thermal resistance, burial depth, etc.) are relatively consistent. Then, in each section, sensors are buried in the soil directly above the cable (the burial depth is the same as the cable) or on the surface of the cable sheath. The number of sensors is determined according to the accuracy requirements (such as 1-2 per section). Then, the temperature value of each sensor is read by the data collector at a set frequency (such as once per second). The data of multiple temperature measurement points in each section are averaged (such as the average temperature of the two sensors in the section) to obtain the representative temperature value of the section, and finally n temperature values ​​are obtained.

[0045] S103: Determine the maximum temperature value among the n temperature values.

[0046] In this embodiment, the current carrying capacity of the cable (the maximum current allowed to pass) is essentially determined by its upper temperature limit. According to the heat resistance level of the cable insulation material (such as 70°C for polyvinyl chloride insulation and 90°C for cross-linked polyethylene insulation), when the conductor temperature exceeds the threshold, the insulation layer will accelerate aging or even breakdown. Therefore, the core of the current carrying capacity assessment is how to ensure that the cable operates at the maximum allowable temperature, and the local maximum temperature is the key factor limiting the current carrying capacity. If the current carrying capacity is evaluated based on the average temperature, there may be a risk of masking local overheating. Therefore, using the maximum temperature value as the basis for calculating the current carrying capacity is a necessary condition to ensure the safety of the entire cable section.

[0047] S104: Determine the current-carrying capacity of the target cable based on the maximum temperature value to obtain a reference current-carrying capacity.

[0048] In this embodiment, the current carrying capacity refers to the maximum current that the cable can continuously pass under the premise of ensuring that the cable temperature does not exceed the safety threshold. Therefore, temperature is the core parameter for determining the current carrying capacity. The temperature of different sections of the cable may vary due to differences in the environment (such as soil thermal resistance, burial depth, heat dissipation conditions) or its own parameters (such as contact resistance, loss). Among them, the highest temperature section is the weak link of the cable that is most likely to exceed the safety threshold. Therefore, the maximum temperature value must be used as the basis for calculating the current carrying capacity to ensure the safety of the entire cable system.

[0049] Specifically, the current carrying capacity corresponding to the maximum temperature value can be determined by establishing a temperature-current carrying capacity mathematical model to obtain a reference current carrying capacity. First, the heating and heat dissipation process of the cable is equivalent to a "thermal resistance-heat capacity" network, and the relationship between temperature and current is obtained by solving the thermal balance equation. Then, based on the finite element analysis method, the temperature field distribution of each part of the cable is simulated by computer simulation, and the temperature response under different currents is accurately calculated. It is suitable for complex environments (such as non-uniform soil and multiple cables laid in parallel). Then, the maximum temperature value is substituted into the temperature-current carrying capacity mathematical model to obtain the current carrying capacity of the target cable, that is, the reference current carrying capacity.

[0050] The reference current-carrying capacity is a preliminary calculation result based on the local maximum temperature of the cable. It provides a basic current upper limit for the safe operation of the cable. It reflects the carrying capacity of the cable under the current temperature distribution and is the basis for subsequent precise adjustment based on soil parameters. The reference current-carrying capacity only considers the temperature factor and has not yet taken into account the specific parameters of the cable laying environment (such as soil thermal conductivity, humidity, backfill material, etc.). These factors will directly affect the heat dissipation capacity of the cable. Therefore, the reference current-carrying capacity needs to be further corrected in combination with the soil parameters of the target section.

[0051] S105: Determine the cable section corresponding to the maximum temperature value to obtain a target cable section.

[0052] In this embodiment, differences in the cable laying environment (such as soil thermal resistance, burial depth, surrounding heat sources) and its own parameters (such as length, joint position, and load distribution) will cause significant differences in the temperature of different sections of the cable. The safe current-carrying capacity of the cable is determined by the maximum temperature it can withstand. If the temperature of a certain section exceeds the tolerance limit, it will directly lead to accelerated aging of the cable insulation, shortened service life, and even cause short-circuit failures. Therefore, the safe current-carrying capacity of the system is determined by the most dangerous (highest temperature) section, rather than the average level. When the local high-temperature section is masked by the average temperature, the calculated current-carrying capacity may be far lower than the actual safety value, resulting in a waste of cable capacity. When the local high temperature is not identified, the current-carrying capacity calculated according to the average temperature may cause the actual temperature of the high-temperature section to exceed the safety threshold, burying the hidden danger of failure. Therefore, it is necessary to determine the cable section corresponding to the maximum temperature value and obtain the target cable section to facilitate locating the most dangerous operating area in the cable system and provide an accurate basis for subsequent refined current-carrying capacity calculation. Determining the target cable section provides a clear monitoring and maintenance focus for cable operation and maintenance. Temperature sensors are deployed in the target section to monitor high-temperature risks in real time. The soil in this section is improved during the design phase (such as replacing low-resistance soil and laying heat dissipation pipes) to enhance the overall current-carrying capacity. When soil parameters along the cable line change with the environment (such as seasonal precipitation causing moisture content fluctuations), the target section may shift. By continuously locating the current maximum temperature section and updating the soil parameters, dynamic adjustment of the current-carrying capacity can be achieved, avoiding errors caused by static calculations. Therefore, finding the section with the highest temperature is to find the weak link in the cable system. Subsequent adjustment of the current-carrying capacity based on the soil characteristics of this link can ensure that the calculation results are both safe and close to actual operation needs.

[0053] It can be seen that the core advantage of the strategy of dividing the target cable into multiple sections and determining the current-carrying capacity based on temperature monitoring lies in the realization of refined management of the cable operation status and scientific verification of the current-carrying capacity through the "partition monitoring-precise evaluation-dynamic adaptation" mechanism: after the cable is divided into n sections according to its physical structure, the temperature value of each section is collected in real time, and the maximum temperature value is captured (often representing the weak point where the cable is most prone to overload or has the worst heat dissipation), which is used as a basis to determine the reference current-carrying capacity of the entire cable section and locate the target section with the highest temperature. Traditional current-carrying capacity calculations are often based on the overall average temperature of the cable, while this method uses the local maximum temperature as a benchmark, avoiding the risk of local overheating due to "averaging", making the current-carrying capacity assessment closer to the cable's actual operating limit and preventing insulation aging or short-circuit failures due to local overload. Using the most stringent section temperature as the basis for current-carrying capacity calculation is equivalent to setting a "safety redundancy" for cable operation, ensuring that even in the event of local poor heat dissipation, the entire cable section remains within the safe current-carrying range, improving system operational reliability. By locking on the target section with the highest temperature, operation and maintenance personnel can quickly locate potential cable hazards (such as poor connector contact, poor heat dissipation in the surrounding environment, etc.), providing precise guidance for subsequent maintenance and reducing troubleshooting costs. When different sections of the cable experience temperature fluctuations due to differences in load distribution and environmental heat dissipation conditions, this method can respond to temperature changes in real time and dynamically adjust the current-carrying capacity assessment results. It is particularly suitable for scenarios with uneven load distribution or complex environments (such as urban underground cable trenches and cables laid in conduits), maximizing the cable's power transmission capacity while ensuring safety and improving power supply efficiency.

[0054] S106: Determine soil parameters corresponding to the target cable section.

[0055] In this embodiment, the soil parameters include thermal conductivity, thermal diffusivity, thermal resistivity, and soil density. Specifically, determining the soil parameters corresponding to the target cable section (including thermal conductivity, thermal diffusivity, thermal resistivity, soil density, etc.) is a systematic process that combines field measurements, historical data, and model calculations. The target cable section is the cable section corresponding to the maximum temperature value, and its physical boundary is determined by the previous cable division method (such as equidistant division by length, segmentation by environmental characteristics). For example, if the cable is divided into a section every 100 meters, and the temperature of the fifth section is the highest, then the target section is the cable buried area at 400-500 meters. The soil range affected by the cable heat dissipation is not limited to the area directly below the cable, but a cylindrical area centered on the cable (the radius is usually 0.5-2 meters, depending on the cable burial depth and soil characteristics). Thermal conductivity is the amount of heat that passes through a unit area per unit time under a unit temperature gradient, reflecting the soil's ability to conduct heat. Thermal diffusivity characterizes the rate at which heat diffuses through soil. Thermal resistivity is the reciprocal of thermal conductivity, indicating the soil's resistance to heat conduction. Soil density is the mass of soil per unit volume, affecting heat capacity and heat conduction paths. To determine the thermal conductivity, thermal diffusivity, thermal resistivity, and soil density of the soil area corresponding to the target cable section, the specific burial location of the target cable section can be determined through geological surveys. Combined with cable laying design drawings or on-site survey data, the soil area beneath and surrounding the section can be precisely located. Thermal conductivity can be determined using a hot wire or probe method. Heating elements and temperature sensors are embedded in the target soil area, and the rate of temperature change per unit length of heating power can be measured. This is then calculated using Fourier's law of heat conduction. Thermal diffusivity can be derived using a formula based on known thermal conductivity, soil specific heat capacity, and density, or by obtaining a temperature diffusion curve over time through transient thermal response testing. Thermal resistivity, which typically has an inverse relationship to thermal conductivity, can also be determined using the definition of thermal resistance by measuring the temperature gradient and heat flux during cable operation. Soil density can be calculated by collecting soil samples in the target area, measuring the sample volume and mass using the knife-ring method, and calculating the soil mass per unit volume. Corrections can be made based on parameters such as soil moisture content and particle composition to ensure data accuracy. Furthermore, reference can be made to soil geological data or historical survey data for the region, combined with field measurements for comprehensive analysis to accurately determine various parameters in the target soil area.

[0056] S107: Adjust the reference current-carrying capacity based on the soil parameters to obtain a first target current-carrying capacity.

[0057] In this implementation, see Figure 2 , Figure 2 This is a flow chart for determining a first target current carrying capacity provided by an embodiment of the present application, including but not limited to the following steps:

[0058] S201: Determine a first adjustment parameter corresponding to the thermal conductivity, a second adjustment parameter corresponding to the thermal diffusivity, a third adjustment parameter corresponding to the thermal resistivity, and a fourth adjustment parameter corresponding to the soil density.

[0059] In this embodiment, it may be a preset first mapping relationship between the thermal conductivity and the adjustment parameter, and the first adjustment parameter corresponding to the thermal conductivity may be determined based on the first mapping relationship.

[0060] It may be a preset second mapping relationship between thermal diffusivity and adjustment parameters, and the second adjustment parameter corresponding to the thermal diffusivity may be determined based on the second mapping relationship.

[0061] It may be a third mapping relationship between a preset thermal resistance coefficient and an adjustment parameter, and a third adjustment parameter corresponding to the thermal resistance coefficient may be determined based on the third mapping relationship.

[0062] It may be a fourth mapping relationship between a preset soil density and an adjustment parameter, and a fourth adjustment parameter corresponding to the soil density may be determined based on the fourth mapping relationship.

[0063] S202: Adjust the reference current-carrying capacity based on the first adjustment parameter, the second adjustment parameter, the third adjustment parameter, and the fourth adjustment parameter to obtain the first target current-carrying capacity.

[0064] In this embodiment, the first target current carrying capacity is calculated specifically according to the following formula:

[0065] The first target current carrying capacity=reference current carrying capacity×(1+first adjustment parameter)×(1+second adjustment parameter)×(1+third adjustment parameter)×(1+fourth adjustment parameter);

[0066] According to the above formula, the reference current-carrying capacity can be adjusted based on the first adjustment parameter, the second adjustment parameter, the third adjustment parameter, and the fourth adjustment parameter to obtain the first target current-carrying capacity.

[0067] It can be seen that by establishing a mapping relationship between soil parameters and adjustment parameters and adopting a multiplicative adjustment model, the current carrying capacity calculation is refined and dynamically adaptable. Specifically, the preset mapping relationship can be used to convert the actual values ​​of soil parameters such as thermal conductivity and thermal diffusivity into quantitative adjustment parameters based on a large amount of historical data and experimental verification, so that the impact of soil characteristics on cable current carrying capacity can be accurately quantified. For example, soil with high thermal conductivity has strong heat dissipation capacity. A positive adjustment parameter obtained through the first mapping relationship can increase the reference current carrying capacity, while a negative adjustment parameter can reduce the current carrying capacity, ensuring that the calculated results meet actual heat dissipation conditions. The design of the multiplicative formula takes into account the synergistic effects of various soil parameters. Thermal conductivity and thermal diffusivity affect heat conduction efficiency, thermal resistivity reflects the degree of soil resistance to heat flow, and soil density affects heat storage capacity. It can comprehensively reflect the superposition effect of different soil characteristics and avoid the one-sidedness of single parameter adjustment. This method not only takes advantage of the standardization of preset mapping relationships to ensure the consistency and repeatability of the calculation process, but also dynamically adjusts the current-carrying capacity according to the actual soil parameters of the target cable section, so that the final first target current-carrying capacity is more in line with the cable operation requirements in complex soil environments, effectively improving the accuracy and engineering practicality of the current-carrying capacity calculation, and providing a more reliable basis for safe cable operation and load planning.

[0068] See also Figure 3 , Figure 3 This is another flow chart for determining a first target current carrying capacity provided by an embodiment of the present application, including but not limited to the following steps:

[0069] S301: Determine a soil quality value of a soil area corresponding to the target cable section based on the thermal conductivity, the thermal diffusivity, the thermal resistivity, and the soil density.

[0070] In this implementation, see Figure 4 , Figure 4 The present invention provides a flow chart for determining soil quality values, including but not limited to the following steps:

[0071] S401: Determine a first weight corresponding to the thermal conductivity, a second weight corresponding to the thermal diffusivity, a third weight corresponding to the thermal resistivity, and a fourth weight corresponding to the soil density.

[0072] In this embodiment, the sum of the first weight, the second weight, the third weight, and the fourth weight is 1. First, weight values ​​are assigned to the four key parameters of the soil (thermal conductivity, thermal diffusivity, thermal resistivity, and soil density), namely, the first weight corresponding to the thermal conductivity, the second weight corresponding to the thermal diffusivity, the third weight corresponding to the thermal resistivity, and the fourth weight corresponding to the soil density. These weights are used to reflect the differences in the degree of influence of each parameter on soil quality. For example, if thermal conductivity has the greatest impact on cable heat dissipation, its corresponding weight may be higher. At the same time, the sum of all weights must be 1 to ensure that the weight assignment constitutes a mathematically complete proportional system and avoid calculation deviations.

[0073] S402: Calculate based on the thermal conductivity, the thermal diffusivity, the thermal resistivity, the soil density, the first weight, the second weight, the third weight, and the fourth weight to obtain a reference soil quality value.

[0074] In this embodiment, the reference soil quality value is calculated specifically according to the following formula:

[0075] Reference soil mass value = thermal conductivity × first weight + thermal diffusivity × second weight + thermal resistivity × third weight + soil density × fourth weight;

[0076] According to the above formula, a reference soil mass value can be obtained by calculation based on the thermal conductivity, the thermal diffusivity, the thermal resistivity, the soil density, the first weight, the second weight, the third weight, and the fourth weight.

[0077] S403: Obtain the moisture content of the soil area.

[0078] In this embodiment, the thermal conductivity of water is much higher than that of dry soil. Therefore, an increase in moisture content will significantly increase the overall thermal conductivity of the soil and accelerate the heat conduction efficiency. Conversely, a decrease in moisture content will lead to a decrease in thermal conductivity and a weakening of the soil's heat dissipation capacity.

[0079] Thermal diffusivity is positively correlated with thermal conductivity and negatively correlated with specific heat and density. When the moisture content increases, the thermal conductivity of the soil increases. At the same time, the specific heat capacity of water is higher than that of soil solid particles, which may cause the change in thermal diffusivity to show nonlinear characteristics. At low moisture content, thermal conductivity dominates, and thermal diffusivity increases with increasing moisture content. At high moisture content, the increase in specific heat capacity may offset part of the effect of thermal conductivity, resulting in a slowdown or even decrease in the increase in thermal diffusivity. The thermal resistivity is the reciprocal of the thermal conductivity. An increase in moisture content will reduce the thermal resistivity of the soil (i.e., enhance heat dissipation capacity), and conversely, it will increase the thermal resistivity (weaken heat dissipation capacity). Therefore, the moisture content of the soil area will affect the soil quality value of the soil area, so it is necessary to obtain the moisture content of the soil area.

[0080] S404: Determine a target fine-tuning parameter corresponding to the moisture content.

[0081] In this embodiment, it may be a preset mapping relationship between moisture content and fine-tuning parameters, and the target fine-tuning parameters corresponding to the moisture content may be determined based on the mapping relationship.

[0082] S405: Adjust the reference soil quality value based on the target fine-tuning parameter to obtain the soil quality value of the soil area.

[0083] In this embodiment, the soil quality value of the soil area can be calculated specifically according to the following formula:

[0084] Soil quality value = reference soil quality value × (1 + target fine-tuning parameter);

[0085] According to the above formula, the reference soil quality value can be adjusted based on the target fine-tuning parameter to obtain the soil quality value of the soil area.

[0086] It can be seen that through the two-layer mechanism of "weighted calculation + dynamic fine-tuning", accurate quantification and environmental adaptation of soil quality values ​​can be achieved: first, weights are assigned to thermal characteristic parameters such as thermal conductivity and thermal diffusivity (the sum of the weights is 1), and the contribution of each parameter to soil quality can be scientifically defined according to soil type and cable heat dissipation requirements. For example, thermal conductivity is given a higher weight in scenarios with high thermal conductivity requirements to ensure that core influencing factors dominate the evaluation; secondly, the reference soil quality value is calculated based on the weight and the actual value of the parameter to form a standardized basic evaluation framework, so that soils in different regions can be compared horizontally through a unified model; thirdly, moisture content is introduced as a dynamic adjustment factor to utilize The reference value is corrected using its corresponding target fine-tuning parameter. This is because moisture content directly affects the soil's heat conduction path and heat capacity. For example, moist soil has stronger thermal conductivity, so the quality value is increased through positive fine-tuning parameters, while dry soil is reduced through negative fine-tuning parameters. This mechanism can respond to changes in soil moisture in real time. Finally, the two-layer mechanism not only takes into account the structural influence of thermal characteristic parameters, but also compensates for assessment deviations caused by dynamic environmental changes (such as precipitation and evaporation) through moisture content fine-tuning. This makes the soil quality value closer to the actual heat dissipation environment during cable operation, provides a reliable basis for accurate calculation of current carrying capacity, and avoids cable overload or capacity waste due to misjudgment of soil characteristics.

[0087] S302: When the soil quality value is greater than a preset soil quality value, performing the operation of adjusting the reference current-carrying capacity based on the first adjustment parameter, the second adjustment parameter, the third adjustment parameter, and the fourth adjustment parameter to obtain the first target current-carrying capacity.

[0088] In this embodiment, the preset soil quality value is a reference threshold used to determine whether the soil's heat dissipation capacity meets the standard. If the actual calculated soil quality value is higher than the threshold, indicating that the soil heat dissipation conditions are good, the reference ampacity can be adjusted based on the first, second, third, and fourth adjustment parameters.

[0089] S303: Determine a difference between the soil quality value and the preset soil quality value to obtain a soil quality difference.

[0090] In this embodiment, when the soil mass value is less than or equal to the preset soil mass value, the soil mass value does not reach the preset threshold, indicating that the soil heat dissipation capacity is insufficient or is in a critical state, and a different current carrying capacity adjustment strategy needs to be adopted. Specifically, the difference between the actual soil mass value and the preset soil mass value is first calculated to quantify the degree of insufficiency of the heat dissipation condition.

[0091] S304: Determine a target optimization factor corresponding to the soil quality difference.

[0092] In this embodiment, it may be a preset mapping relationship between the soil quality difference and the optimization factor, and the target optimization factor corresponding to the soil quality difference may be determined based on the mapping relationship.

[0093] S305: Optimize the reference current-carrying capacity based on the target optimization factor to obtain the first target current-carrying capacity.

[0094] In this embodiment, the first target current carrying capacity is calculated specifically according to the following formula:

[0095] First target current carrying capacity = reference current carrying capacity × (1 + target optimization factor);

[0096] According to the above formula, the reference current-carrying capacity can be optimized based on the target optimization factor to obtain the first target current-carrying capacity.

[0097] As can be seen, this method of adjusting the cable's reference current carrying capacity based on soil quality offers several significant advantages. First, by determining the soil quality value through a comprehensive analysis of soil parameters such as thermal conductivity and thermal diffusivity, it accurately quantifies the soil's actual impact on cable heat dissipation, providing a scientific, quantitative basis for current carrying capacity adjustment. When the soil quality value exceeds the preset value, the current carrying capacity is adjusted by directly multiplying the corresponding adjustment parameters. This approach, which takes into account the synergistic effects of different soil thermal characteristics, allows for a reasonable increase in current carrying capacity when soil heat dissipation conditions are favorable, fully utilizing the cable's transmission capacity and avoiding resource waste. When the soil quality value falls short of the standard, the difference from the preset value is first calculated, and then a target optimization factor is determined based on this difference to optimize the current carrying capacity. This refined approach not only accurately reflects the specific impact of insufficient soil quality on cable heat dissipation, but also dynamically adapts the current carrying capacity through the optimization factor, preventing cable overheating due to poor soil heat dissipation and ensuring safe and stable cable operation. This method achieves dynamic and precise regulation of the cable's current-carrying capacity by handling different situations. While ensuring safety, it maximizes the use of the cable's transmission capacity and improves the system's adaptability to different soil conditions, providing strong support for the efficient and safe operation of the cable transmission system.

[0098] It can be seen that when the soil quality value is greater than the preset soil quality value, the current carrying capacity is directly adjusted based on soil physical parameters such as thermal conductivity and thermal diffusivity, which can quickly respond to the positive effect of high-quality soil environment on cable heat dissipation. When the soil quality is good (such as sandy soil and suitable humidity), its thermal conductivity and heat dissipation capabilities are strong, and the heat generated during cable operation can be dissipated more efficiently. At this time, the reference current carrying capacity is directly increased through the first to fourth adjustment parameters (which may correspond to thermal conductivity efficiency, heat dissipation coefficient, etc.). This can fully utilize the heat dissipation advantages of the soil to improve the cable transmission capacity (such as increasing the transmission power) and avoid the waste of current carrying capacity due to conservative evaluation. It is especially suitable for laying scenarios with excellent soil conditions (such as loose soil areas), maximizing the transmission efficiency of the cable while ensuring safety. When the soil quality value is less than or equal to the preset soil quality value, for poor soil quality (such as clay, dry soil, or soil with high thermal resistance), the current carrying capacity is optimized by calculating the soil quality difference and matching it with the target optimization factor. This allows for refined derating control. The soil quality difference directly reflects the gap between actual heat dissipation conditions and ideal conditions. The target optimization factor dynamically determines the extent of the current carrying capacity reduction based on the difference (e.g., the larger the difference, the greater the reduction in the current carrying capacity by the optimization factor). This avoids overly conservative or insufficient derating caused by a "one-size-fits-all" derating, ensuring that the current carrying capacity adjustment is more closely aligned with the actual soil heat dissipation capacity. When soil heat dissipation capacity is insufficient (e.g., long-term drought leading to increased soil thermal resistance), this method dynamically reduces the current carrying capacity based on the degree of soil deterioration, preventing cable temperature exceeding the limit (e.g., insulation overheating and aging) due to poor heat dissipation, thereby fundamentally reducing the risks of short circuits and fires. This method is particularly suitable for areas with unstable soil conditions or significant seasonal changes (such as farmland and suburban areas), where dynamic optimization is used to strike a balance between safety and power supply capacity. The two methods adapt to soil characteristics in different scenarios to form a current-carrying capacity control mechanism of "efficient utilization of high-quality soil and precise derating of poor-quality soil". This not only avoids evaluation deviations under unified standards, but also dynamically balances the cable's transmission efficiency and operational safety according to the soil's heat dissipation capacity. It is particularly suitable for complex laying environments with large differences in soil conditions, and provides a flexible and reliable solution for the scientific and intelligent management of cable current-carrying capacity.

[0099] See also Figure 5 , Figure 5 This is a flowchart of a method of disconnecting an electrical device provided by an embodiment of the present application, including but not limited to the following steps:

[0100] S501: When the first target current carrying capacity is less than a first current carrying capacity threshold, obtain k electrical devices corresponding to the target cable.

[0101] In this embodiment, k is an integer greater than 1. The first target current-carrying capacity is less than the threshold value, which means that the current currently carried by the cable has exceeded the safe range, which may cause risks such as overheating, insulation aging, and even short circuit. At this time, it is necessary to reduce the current-carrying capacity by reducing the load (i.e., cutting off the power supply to some equipment), and obtaining a list of electrical equipment is the first step in locating the load that can be cut off. Different equipment in the power system has different power priorities (such as hospitals, transportation hubs, etc., which are high priorities). Directly cutting off all loads will cause large-scale power outages. Therefore, it is necessary to obtain all related equipment first, and then filter out low-priority equipment to achieve accurate load shedding, while minimizing the impact while ensuring cable safety.

[0102] In the power system, the connection relationship between cables and electrical equipment is clearly defined through the topological structure. During the operation and maintenance of the power system, a detailed equipment ledger will be established to record the electrical equipment connected to the outlet end of each cable (such as transformers, distribution boxes, terminal equipment, etc.), and these associations will be stored in the topological database. Then, these relationships can be used to determine the electrical equipment connected to the target cable, thereby obtaining the k electrical equipment corresponding to the target cable.

[0103] S502: Determine the load importance value corresponding to each of the k electrical devices to obtain k load importance values.

[0104] In this embodiment, since the first electrical device is any one of the k electrical devices, it is only necessary to determine the load importance value corresponding to each of the k electrical devices according to the method of determining the load importance value corresponding to the first electrical device to obtain k load importance values.

[0105] In this implementation, see Figure 6 , Figure 6 The flowchart of determining the load importance value corresponding to the first electrical equipment provided by the embodiment of the present application includes but is not limited to the following steps:

[0106] S601: Obtain the economic loss per unit time corresponding to the interruption of the first power-consuming equipment and the number of households with power interruptions.

[0107] In this embodiment, the first electrical device is any one of the k electrical devices. The unit time economic loss value refers to the amount of economic loss per unit time (e.g., 1 hour, 1 day) caused by a power outage (e.g., a power outage) to the device. For example, a factory production line interruption may result in a loss of 100,000 yuan per hour, and hospital equipment downtime may cause delays in emergency care, resulting in indirect economic losses. The number of households with power interruptions refers to the number of users directly or indirectly affected by the power interruption of the device. For example, if a transformer supplies power to a residential community, the interruption may affect the power supply of 1,000 households.

[0108] By obtaining the economic loss value per unit time and the number of households with power interruptions corresponding to the interruption of the first power-consuming equipment, basic data can be collected from the two dimensions of economic impact and social impact, providing a quantitative basis for subsequent evaluation.

[0109] S602: Determine a first load importance value corresponding to the economic loss value per unit time and a second load importance value corresponding to the number of households with power interruptions.

[0110] In this embodiment, it may be a preset mapping relationship between the economic loss value per unit time and the load importance value, and the first load importance value corresponding to the economic loss value per unit time may be determined based on the mapping relationship.

[0111] In this embodiment, it may be a preset mapping relationship between the number of households with power interruption and the load importance value, and the second load importance value corresponding to the number of households with power interruption may be determined based on the mapping relationship.

[0112] S603: Determine a load importance value corresponding to the first electrical equipment based on the first load importance value and the second load importance value.

[0113] In this embodiment, illustratively, a first target weight corresponding to the first load importance value and a second target weight corresponding to the second load importance value are determined.

[0114] Specifically, the sum of the first target weight and the second target weight is 1. It can be a preset mapping relationship between load importance values ​​and target weights, based on which the first target weight corresponding to the first load importance value and the second target weight corresponding to the second load importance value can be determined.

[0115] Exemplarily, a reference load importance value is obtained by performing calculation based on the first load importance value, the second load importance value, the first target weight, and the second target weight.

[0116] In this embodiment, the reference load importance value of the target interference pattern is calculated specifically according to the following formula:

[0117] Reference load importance value = first load importance value × first target weight + second load importance value × second target weight;

[0118] According to the above formula, a calculation can be performed based on the first load importance value, the second load importance value, the first target weight, and the second target weight to obtain a reference load importance value.

[0119] Exemplarily, the load level of the first electrical equipment is obtained.

[0120] In this embodiment, the load level is a standardized classification of the importance of electrical equipment in the power system, which is usually divided into level one, level two, and level three (for example, level one load is equipment whose power interruption will cause personal safety or significant economic losses, such as hospital operating rooms; level three load is non-critical equipment, such as general lighting).

[0121] Obtaining the load level of the primary electrical equipment is intended to introduce a correction mechanism directly related to load characteristics, ensuring that the resulting load importance value better aligns with actual power demand and power supply assurance requirements. Electrical equipment of different load levels has different requirements regarding power supply reliability and the impact of interruptions. For example, Level 1 loads typically represent equipment critical to life safety or significant economic losses (such as hospital operating rooms and critical communications hubs); Level 2 loads are equipment whose interruption could cause significant economic losses or impact critical functions (such as shopping mall lighting and some industrial production); and Level 3 loads are general loads (such as ordinary household electricity and non-critical commercial equipment). The load level directly reflects the priority of a device within the power supply system. Obtaining this level allows for targeted corrections to the reference load importance value based on its characteristics, ensuring the result better aligns with actual power supply needs. Calculating the reference value solely based on the first and second load importance values ​​and their corresponding weights may not fully account for the load properties of the device itself. Load levels are a standardized classification of the importance of electrical equipment within the power industry, incorporating both industry regulations and actual operational experience. By determining the correction factors corresponding to the load levels, this standardized classification can be converted into quantitative adjustment parameters, and the reference values ​​can be corrected to compensate for the actual operating requirements not covered in the initial calculations. The final load importance value is not only based on numerical calculations, but also combines the industry's authoritative definition of load importance, thereby improving the accuracy and practicality of the assessment.

[0122] Exemplarily, a correction factor corresponding to the load level is determined.

[0123] In this embodiment, a mapping table between load levels and correction factors may be pre-established, and corresponding values ​​may be directly matched according to the levels, so that the correction factor corresponding to the load level may be determined according to the mapping table.

[0124] Exemplarily, the reference load importance value is corrected based on the correction factor to obtain the load importance value corresponding to the first electrical equipment.

[0125] In this embodiment, the load importance value is calculated specifically according to the following formula:

[0126] Load importance value = reference load importance value × (1 + correction factor);

[0127] According to the above formula, the reference load importance value can be corrected based on the correction factor to obtain the load importance value corresponding to the first electrical equipment.

[0128] It can be seen that the refinement and adaptability of load importance assessment can be achieved through the hierarchical weighting and dynamic correction mechanism: First, by assigning target weights (and the sum of the weights is 1) to the load importance values ​​of different dimensions (such as the first and second load importance values), the priority of each evaluation dimension can be flexibly adjusted based on actual needs. For example, in power dispatching, different factors such as power stability or equipment importance can be emphasized. The reference load importance value obtained by weighted calculation can integrate multi-dimensional information; secondly, the key attribute of "load level" is introduced to divide power-consuming equipment into different categories according to power supply reliability requirements. Levels (such as primary, secondary, and tertiary loads) and matching corresponding correction factors can be precisely adjusted according to the particularities of equipment at different levels. For example, the primary load (such as the hospital life support system) needs to increase its importance assessment value through the correction factor to ensure power supply priority, while the tertiary load (such as non-essential lighting) can reasonably reduce its weight through the correction factor. In scenarios such as insufficient cable current carrying capacity, scientific scheduling of "protecting the important and abandoning the secondary" can be achieved, which not only ensures the power supply stability of key equipment, but also improves the flexibility and rationality of load management through the dynamic correction mechanism, and optimizes the efficiency of power resource allocation.

[0129] It can be seen that through the dual-dimensional coupling of economic loss quantification and social impact assessment, a scientific and operational load importance assessment system has been constructed: First, taking the economic loss value per unit time as the anchor point, it can accurately measure the direct economic impact of equipment power outages on production and operation, commercial activities, etc. For example, equipment interruption in a hospital emergency center may correspond to extremely high unit time losses, thereby highlighting its power supply priority in the assessment; secondly, the number of households with power interruptions starts from the scope of social impact, linking the load importance with the size of the affected group, avoiding measuring only economic losses and ignoring the social effects of people's livelihood loads (such as power supply to residential communities). By converting the two into the first and second load importance values ​​respectively and calculating them comprehensively, it not only takes into account the differences in economic attributes of different equipment (such as the different loss magnitudes of industrial equipment and commercial equipment), but also covers the dual dimensions of "impact depth" and "impact breadth". When the cable current carrying capacity is insufficient or load shedding is required, this evaluation method can accurately locate high-priority equipment (such as hub substations with large economic losses and affecting a large number of households), and achieve the resource allocation goal of "protecting the economic lifeline and the bottom line of people's livelihood". At the same time, it provides a quantitative basis for power dispatching and emergency plan formulation, and improves the reliability and management efficiency of the power supply system.

[0130] S503: Determine p load importance values ​​among the k load importance values ​​that are smaller than a preset load importance value.

[0131] In this embodiment, p is an integer less than k. When the calculated allowable current carrying capacity of the cable (the first target current carrying capacity) is lower than the minimum requirement for safe operation (the first current carrying capacity threshold), it indicates that the cable is facing an overload risk and immediate measures must be taken. A "preset load importance value" is set as a threshold, and importance values ​​lower than the preset load importance value are screened from the k load importance values ​​to obtain p load importance values.

[0132] S504: Determine p electrical devices corresponding to the p load importance values.

[0133] In this embodiment, the p selected load importance values ​​are associated with specific devices to clarify which devices will be powered off. If the devices corresponding to the selected importance values ​​are "office building air conditioning" and "landscape lighting", then these two devices will be listed as power-off targets, and the abstract numerical evaluation will be converted into specific physical devices to facilitate the execution of operations.

[0134] S505: Cut off the power supply of the target cable to the p electrical devices.

[0135] In this embodiment, the target cable can be disconnected from p low-priority devices through a remotely controlled switch or automatic protection device, thereby reducing the cable load. The cable current carrying capacity decreases due to the load reduction and returns to above the safety threshold. At the same time, high-priority equipment (such as hospitals and data centers) still maintains power supply. Under the premise of ensuring the safety of the power system, the impact of power outages on critical businesses is minimized, realizing intelligent scheduling of "protecting key businesses and abandoning secondary businesses."

[0136] It can be seen that the core advantage of the load management strategy lies in the dual guarantee of precise allocation of power resources and system safety through the scientific logic of "dynamic monitoring-quantitative assessment-tiered regulation": when the target cable current carrying capacity reaches the safety threshold, the associated power equipment cluster is first locked, and then the quantitative assessment system of load importance is used to accurately identify secondary loads with lower requirements for power supply reliability (i.e., equipment with importance values ​​below the preset threshold), and finally cut off the power supply to these loads. This approach not only avoids the impact of "one-size-fits-all" power outages on critical businesses (such as giving priority to important loads such as hospitals and transportation hubs), but also quickly reduces cable loads by unloading secondary loads (such as landscape lighting and non-essential production equipment), preventing line failures or equipment damage caused by overloads. Its advantages are specifically reflected in: First, the data-driven hierarchical power-off mechanism balances system safety and power supply reliability; second, the fairness and explainability of load sharing are achieved through quantitative indicators, providing a clear basis for scheduling decisions; third, it dynamically responds to changes in current carrying capacity and improves the adaptive ability of the power system in the face of overload risks. It is especially suitable for scenarios with large load fluctuations (such as industrial parks and urban power grid peak hours), minimizing the comprehensive losses caused by power outages while ensuring key people's livelihood and economic activities.

[0137] In summary, the implementation of the present invention has the following beneficial effects:

[0138] It can be seen that the cable current-carrying capacity determination method described in the embodiment of the present invention first divides the target cable into n cable sections, where n is an integer greater than 1, and then determines the temperature of each cable section in the n cable sections to obtain n temperature values, and then determines the maximum temperature value among the n temperature values, and then determines the current-carrying capacity of the target cable based on the maximum temperature value to obtain a reference current-carrying capacity, and then determines the cable section corresponding to the maximum temperature value to obtain a target cable section, and then determines the soil parameters corresponding to the target cable section, and finally adjusts the reference current-carrying capacity based on the soil parameters to obtain a first target current-carrying capacity.

[0139] See also Figure 7 , Figure 7 is a structural diagram of a cable current carrying capacity determination device provided in an embodiment of the present application, wherein the cable current carrying capacity determination device 700 includes: a dividing unit 701 and a processing unit 702;

[0140] The division unit 701 is used to divide the target cable into n cable segments; n is an integer greater than 1;

[0141] The processing unit 702 is configured to determine the temperature of each of the n cable segments to obtain n temperature values;

[0142] Determining a maximum temperature value among the n temperature values;

[0143] Determine the current carrying capacity of the target cable based on the maximum temperature value to obtain a reference current carrying capacity;

[0144] Determine the cable section corresponding to the maximum temperature value to obtain a target cable section;

[0145] determining soil parameters corresponding to the target cable section;

[0146] The reference ampacity is adjusted based on the soil parameters to obtain a first target ampacity.

[0147] In some possible implementations, the soil parameters include thermal conductivity, thermal diffusivity, thermal resistivity, and soil density; in adjusting the reference ampacity based on the soil parameters to obtain the first target ampacity, the processing unit 702 is specifically configured to:

[0148] Determining a first adjustment parameter corresponding to the thermal conductivity, a second adjustment parameter corresponding to the thermal diffusivity, a third adjustment parameter corresponding to the thermal resistivity, and a fourth adjustment parameter corresponding to the soil density;

[0149] The reference current-carrying capacity is adjusted based on the first adjustment parameter, the second adjustment parameter, the third adjustment parameter, and the fourth adjustment parameter to obtain the first target current-carrying capacity.

[0150] In some possible implementations, the processing unit 702 is further specifically configured to:

[0151] determining a soil quality value of a soil area corresponding to the target cable section based on the thermal conductivity, the thermal diffusivity, the thermal resistivity, and the soil density;

[0152] When the soil quality value is greater than a preset soil quality value, the operation of adjusting the reference current-carrying capacity based on the first adjustment parameter, the second adjustment parameter, the third adjustment parameter, and the fourth adjustment parameter to obtain the first target current-carrying capacity is performed.

[0153] In some possible implementations, when the soil quality value is less than or equal to the preset soil quality value, in terms of adjusting the reference ampacity based on the soil parameter to obtain the first target ampacity, the processing unit 702 is specifically configured to:

[0154] Determining a difference between the soil quality value and the preset soil quality value to obtain a soil quality difference;

[0155] determining a target optimization factor corresponding to the soil quality difference;

[0156] The reference current-carrying capacity is optimized based on the target optimization factor to obtain the first target current-carrying capacity.

[0157] In some possible implementations, in determining the soil quality value of the soil region based on the thermal conductivity, the thermal diffusivity, the thermal resistivity, and the soil density, the processing unit 702 is specifically configured to:

[0158] Determining a first weight corresponding to the thermal conductivity, a second weight corresponding to the thermal diffusivity, a third weight corresponding to the thermal resistivity, and a fourth weight corresponding to the soil density; the sum of the first weight, the second weight, the third weight, and the fourth weight is 1;

[0159] Calculating based on the thermal conductivity, the thermal diffusivity, the thermal resistivity, the soil density, the first weight, the second weight, the third weight, and the fourth weight to obtain a reference soil mass value;

[0160] obtaining the moisture content of the soil area;

[0161] determining a target fine-tuning parameter corresponding to the moisture content;

[0162] The reference soil quality value is adjusted based on the target fine-tuning parameter to obtain the soil quality value of the soil area.

[0163] In some possible implementations, the processing unit 702 is specifically configured to:

[0164] When the first target current carrying capacity is less than a first current carrying capacity threshold, obtaining k electrical devices corresponding to the target cable; k is an integer greater than 1;

[0165] Determine a load importance value corresponding to each of the k electrical devices to obtain k load importance values;

[0166] Determining p load importance values ​​that are smaller than a preset load importance value among the k load importance values, where p is an integer smaller than k;

[0167] Determining p electrical devices corresponding to the p load importance values;

[0168] Cut off the power supply of the target cable to the p powered devices.

[0169] In some possible implementations, in determining the load importance value corresponding to each of the k electrical devices to obtain the k load importance values, the processing unit 702 is specifically configured to:

[0170] Obtaining a unit time economic loss value and the number of households with power interruptions corresponding to an interruption of a first power-consuming device; the first power-consuming device is any one of the k power-consuming devices;

[0171] Determine a first load importance value corresponding to the economic loss per unit time value and a second load importance value corresponding to the number of households with power interruptions;

[0172] A load importance value corresponding to the first electrical equipment is determined based on the first load importance value and the second load importance value.

[0173] In some possible implementations, in determining the load importance value corresponding to the first electrical device based on the first load importance value and the second load importance value, the processing unit 702 is specifically configured to:

[0174] Determining a first target weight corresponding to the first load importance value and a second target weight corresponding to the second load importance value; the sum of the first target weight and the second target weight is 1;

[0175] Calculating based on the first load importance value, the second load importance value, the first target weight, and the second target weight to obtain a reference load importance value;

[0176] Obtaining a load level of the first electrical device;

[0177] determining a correction factor corresponding to the load level;

[0178] The reference load importance value is corrected based on the correction factor to obtain the load importance value corresponding to the first electrical equipment.

[0179] See also Figure 8 , Figure 8 This is a schematic diagram of the structure of an electronic device provided by the embodiment of this application. Figure 8 As shown, electronic device 800 includes a transceiver 801, a processor 802, and a memory 803. These are connected via a bus 804. The memory 803 is used to store computer programs and data, and the transceiver 801 can transmit the data stored in the memory 803 to the processor 802. The above program includes instructions for executing the following steps:

[0180] Divide the target cable into n cable sections; n is an integer greater than 1;

[0181] determining the temperature of each of the n cable sections to obtain n temperature values;

[0182] Determining a maximum temperature value among the n temperature values;

[0183] Determine the current carrying capacity of the target cable based on the maximum temperature value to obtain a reference current carrying capacity;

[0184] Determine the cable section corresponding to the maximum temperature value to obtain a target cable section;

[0185] determining soil parameters corresponding to the target cable section;

[0186] The reference ampacity is adjusted based on the soil parameters to obtain a first target ampacity.

[0187] In some possible implementations, the soil parameters include thermal conductivity, thermal diffusivity, thermal resistivity, and soil density; and in terms of adjusting the reference ampacity based on the soil parameters to obtain the first target ampacity, the program includes instructions for performing the following steps:

[0188] Determining a first adjustment parameter corresponding to the thermal conductivity, a second adjustment parameter corresponding to the thermal diffusivity, a third adjustment parameter corresponding to the thermal resistivity, and a fourth adjustment parameter corresponding to the soil density;

[0189] The reference current-carrying capacity is adjusted based on the first adjustment parameter, the second adjustment parameter, the third adjustment parameter, and the fourth adjustment parameter to obtain the first target current-carrying capacity.

[0190] In some possible implementations, the above program includes instructions for performing the following steps:

[0191] determining a soil quality value of a soil area corresponding to the target cable section based on the thermal conductivity, the thermal diffusivity, the thermal resistivity, and the soil density;

[0192] When the soil quality value is greater than a preset soil quality value, the operation of adjusting the reference current-carrying capacity based on the first adjustment parameter, the second adjustment parameter, the third adjustment parameter, and the fourth adjustment parameter to obtain the first target current-carrying capacity is performed.

[0193] In some possible implementations, when the soil quality value is less than or equal to the preset soil quality value, in terms of adjusting the reference ampacity based on the soil parameter to obtain a first target ampacity, the program includes instructions for performing the following steps:

[0194] Determining a difference between the soil quality value and the preset soil quality value to obtain a soil quality difference;

[0195] determining a target optimization factor corresponding to the soil quality difference;

[0196] The reference current-carrying capacity is optimized based on the target optimization factor to obtain the first target current-carrying capacity.

[0197] In some possible implementations, in determining the soil quality value of the soil region based on the thermal conductivity, the thermal diffusivity, the thermal resistivity, and the soil density, the program includes instructions for performing the following steps:

[0198] Determining a first weight corresponding to the thermal conductivity, a second weight corresponding to the thermal diffusivity, a third weight corresponding to the thermal resistivity, and a fourth weight corresponding to the soil density; the sum of the first weight, the second weight, the third weight, and the fourth weight is 1;

[0199] Calculating based on the thermal conductivity, the thermal diffusivity, the thermal resistivity, the soil density, the first weight, the second weight, the third weight, and the fourth weight to obtain a reference soil mass value;

[0200] obtaining the moisture content of the soil area;

[0201] determining a target fine-tuning parameter corresponding to the moisture content;

[0202] The reference soil quality value is adjusted based on the target fine-tuning parameter to obtain the soil quality value of the soil area.

[0203] In some possible implementations, the above program includes instructions for performing the following steps:

[0204] When the first target current carrying capacity is less than a first current carrying capacity threshold, obtaining k electrical devices corresponding to the target cable; k is an integer greater than 1;

[0205] Determine a load importance value corresponding to each of the k electrical devices to obtain k load importance values;

[0206] Determining p load importance values ​​that are smaller than a preset load importance value among the k load importance values, where p is an integer smaller than k;

[0207] Determining p electrical devices corresponding to the p load importance values;

[0208] Cut off the power supply of the target cable to the p powered devices.

[0209] In some possible implementations, in determining the load importance value corresponding to each of the k electrical devices to obtain the k load importance values, the program includes instructions for executing the following steps:

[0210] Obtaining a unit time economic loss value and the number of households with power interruptions corresponding to an interruption of a first power-consuming device; the first power-consuming device is any one of the k power-consuming devices;

[0211] Determine a first load importance value corresponding to the economic loss per unit time value and a second load importance value corresponding to the number of households with power interruptions;

[0212] A load importance value corresponding to the first electrical equipment is determined based on the first load importance value and the second load importance value.

[0213] In some possible implementations, in determining the load importance value corresponding to the first electrical device based on the first load importance value and the second load importance value, the program includes instructions for performing the following steps:

[0214] Determining a first target weight corresponding to the first load importance value and a second target weight corresponding to the second load importance value; the sum of the first target weight and the second target weight is 1;

[0215] Calculating based on the first load importance value, the second load importance value, the first target weight, and the second target weight to obtain a reference load importance value;

[0216] Obtaining a load level of the first electrical device;

[0217] determining a correction factor corresponding to the load level;

[0218] The reference load importance value is corrected based on the correction factor to obtain the load importance value corresponding to the first electrical equipment.

[0219] It should be understood that the electronic devices in this application may include smartphones (such as Android phones, iOS phones, Windows Phone phones, etc.), tablet computers, PDAs, laptops, mobile Internet devices (MIDs) or wearable devices, or servers, edge computing nodes, etc. The above electronic devices are only examples and are not exhaustive, including but not limited to the above electronic devices.

[0220] The embodiments of the present application further provide a computer-readable storage medium, which stores a computer program. The computer program is executed by a processor to implement part or all of the steps of any one of the methods described in the above method embodiments.

[0221] The embodiments of the present application also provide a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute part or all of the steps of any one of the methods described in the above method embodiments.

[0222] It should be noted that for the aforementioned method implementations, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that this application is not limited by the order of the actions described, because according to this application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the implementations described in the specification are all optional implementations, and the actions and modules involved are not necessarily required by this application.

[0223] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, please refer to the relevant description of other embodiments.

[0224] In the several embodiments provided in this application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0225] Units described as separate components may or may not be physically separate, and components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0226] In addition, the functional units in the various embodiments of the present application may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or in the form of software program modules.

[0227] If the integrated unit is implemented in the form of a software program module and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a memory and includes a number of instructions for enabling a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the various implementation methods of the present application. The aforementioned memory includes: various media that can store program codes, such as a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk.

[0228] Those skilled in the art will appreciate that all or part of the steps in the various methods of the above embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable memory, which may include: a flash drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, etc.

[0229] The above is a detailed introduction to the implementation methods of the present application. Specific examples are used herein to illustrate the principles and implementation methods of the present application. The description of the above implementation methods is only used to help understand the method and core idea of ​​the present application. At the same time, for those skilled in the art, based on the ideas of the present application, there may be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A method for determining the current carrying capacity of a cable, characterized in that: include: Divide the target cable into n cable segments; n is an integer greater than 1; determining the temperature of each of the n cable sections to obtain n temperature values; Determining a maximum temperature value among the n temperature values; Determine the current carrying capacity of the target cable based on the maximum temperature value to obtain a reference current carrying capacity; Determine the cable section corresponding to the maximum temperature value to obtain a target cable section; determining soil parameters corresponding to the target cable section; The reference ampacity is adjusted based on the soil parameters to obtain a first target ampacity.

2. The method according to claim 1, wherein The soil parameters include thermal conductivity, thermal diffusivity, thermal resistivity, and soil density; The adjusting the reference ampacity based on the soil parameter to obtain a first target ampacity includes: Determining a first adjustment parameter corresponding to the thermal conductivity, a second adjustment parameter corresponding to the thermal diffusivity, a third adjustment parameter corresponding to the thermal resistivity, and a fourth adjustment parameter corresponding to the soil density; The reference current-carrying capacity is adjusted based on the first adjustment parameter, the second adjustment parameter, the third adjustment parameter, and the fourth adjustment parameter to obtain the first target current-carrying capacity.

3. The method according to claim 2, wherein The method further comprises: determining a soil quality value of a soil area corresponding to the target cable section based on the thermal conductivity, the thermal diffusivity, the thermal resistivity, and the soil density; When the soil quality value is greater than a preset soil quality value, the operation of adjusting the reference current-carrying capacity based on the first adjustment parameter, the second adjustment parameter, the third adjustment parameter, and the fourth adjustment parameter to obtain the first target current-carrying capacity is performed.

4. The method according to claim 3, wherein When the soil quality value is less than or equal to the preset soil quality value, adjusting the reference ampacity based on the soil parameter to obtain a first target ampacity includes: Determining a difference between the soil quality value and the preset soil quality value to obtain a soil quality difference; determining a target optimization factor corresponding to the soil quality difference; The reference current-carrying capacity is optimized based on the target optimization factor to obtain the first target current-carrying capacity.

5. The method according to claim 3 or 4, wherein: The determining of the soil quality value of the soil area based on the thermal conductivity, the thermal diffusivity, the thermal resistivity, and the soil density includes: Determining a first weight corresponding to the thermal conductivity, a second weight corresponding to the thermal diffusivity, a third weight corresponding to the thermal resistivity, and a fourth weight corresponding to the soil density; the sum of the first weight, the second weight, the third weight, and the fourth weight is 1; Calculating based on the thermal conductivity, the thermal diffusivity, the thermal resistivity, the soil density, the first weight, the second weight, the third weight, and the fourth weight to obtain a reference soil mass value; obtaining the moisture content of the soil area; determining a target fine-tuning parameter corresponding to the moisture content; The reference soil quality value is adjusted based on the target fine-tuning parameter to obtain the soil quality value of the soil area.

6. The method according to any one of claims 1 to 4, characterized in that The method further comprises: When the first target current carrying capacity is less than a first current carrying capacity threshold, obtaining k electrical devices corresponding to the target cable; k is an integer greater than 1; Determine a load importance value corresponding to each of the k electrical devices to obtain k load importance values; Determining p load importance values ​​that are smaller than a preset load importance value among the k load importance values, where p is an integer smaller than k; Determining p electrical devices corresponding to the p load importance values; Cut off the power supply of the target cable to the p powered devices.

7. The method according to claim 6, wherein The step of determining the load importance value corresponding to each of the k electrical devices to obtain k load importance values ​​includes: Obtaining a unit time economic loss value and the number of households with power interruptions corresponding to an interruption of a first power-consuming device; the first power-consuming device is any one of the k power-consuming devices; Determine a first load importance value corresponding to the economic loss per unit time value and a second load importance value corresponding to the number of households with power interruptions; A load importance value corresponding to the first electrical equipment is determined based on the first load importance value and the second load importance value.

8. The method according to claim 7, wherein The determining the load importance value corresponding to the first electrical equipment based on the first load importance value and the second load importance value includes: Determining a first target weight corresponding to the first load importance value and a second target weight corresponding to the second load importance value; the sum of the first target weight and the second target weight is 1; Calculating based on the first load importance value, the second load importance value, the first target weight, and the second target weight to obtain a reference load importance value; Obtaining a load level of the first electrical device; determining a correction factor corresponding to the load level; The reference load importance value is corrected based on the correction factor to obtain the load importance value corresponding to the first electrical equipment.

9. A device for determining the current carrying capacity of a cable, characterized in that: The device comprises: a dividing unit and a processing unit; The dividing unit is used to divide the target cable into n cable segments; n is an integer greater than 1; The processing unit is configured to determine the temperature of each of the n cable segments to obtain n temperature values; Determining a maximum temperature value among the n temperature values; Determine the current carrying capacity of the target cable based on the maximum temperature value to obtain a reference current carrying capacity; Determine the cable section corresponding to the maximum temperature value to obtain a target cable section; determining soil parameters corresponding to the target cable section; The reference ampacity is adjusted based on the soil parameters to obtain a first target ampacity.

10. An electronic device, characterized in that: The method comprises a processor, a memory, a communication interface, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, and the one or more programs include instructions for executing the steps in the method according to any one of claims 1 to 7.

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