Terminal low voltage treatment method, system and equipment

Abstract

The invention discloses a tail end low voltage treatment method, system and equipment, and relates to the technical field of voltage quality treatment, and the method comprises the steps: calculating the electromagnetic energy distribution of a line, converting the electromagnetic energy distribution into section length electromagnetic loss power, carrying out the integration of the section length electromagnetic loss power along the line length, and carrying out the current normalization, and obtaining an electromagnetic loss voltage drop component; calculating the heat flow density along the axial direction of the wire, generating the heat absorption power of the heat pipe, converting the heat absorption power into the temperature reduction amount by using the first law of thermodynamics, converting the temperature reduction amount into the resistance reduction amount, generating the treated tail end voltage, and performing treatment classification on the treated tail end voltage. According to the method, the electric field intensity and the magnetic field intensity are combined with medium parameters, the voltage drop cause identification precision and the quantitative definition of the treatment priority are improved, and the reliability of terminal voltage prediction and the objectivity of treatment effect evaluation are improved by combining heat flow density calculation with heat pipe heat absorption power and wire heat capacity mapping.

Description

Technical Field

[0001] This invention relates to the field of voltage quality management technology, and in particular to a method and system for managing low voltage at the terminal. Background Technology

[0002] As distribution networks evolve towards high-penetration distributed power sources, rapidly fluctuating electric vehicles, and high-density electronic loads, feeder voltage curves exhibit stronger spatiotemporal imbalances. The problem of low voltage at the end of the line has shifted from "static and predictable" to "dynamic and pulsating." Traditional solutions mainly include: hierarchical voltage regulation through tap changers (OLTC) and local voltage regulators; voltage shaping through reactive power compensation and capacitor switching; reducing line impedance through feeder reconfiguration and conductor cross-section upgrades; and supplementing these with SCADA / AMI measurement and state estimation algorithms for limit identification and setting.

[0003] Existing methods for addressing low voltage at the end of a circuit still have shortcomings. They do not explicitly decompose the electromagnetic loss component of voltage drop, and the electric / magnetic field strength and dielectric parameters are not included in the integrable power density calculation. This makes it difficult to clarify the priorities and quantify the benefits of the treatment. The thermal and electrical processes are treated separately, and the axial heat flow of the conductor, the heat absorption power of the heat pipe, and the heat capacity are not continuously mapped to the predicted quantities of resistance reduction and end voltage increase. As a result, the evaluation of the effectiveness of the treatment depends on prior assumptions. Summary of the Invention

[0004] In view of the aforementioned existing problems, the inventors have proposed the present invention.

[0005] Therefore, this invention provides a method and system for addressing low voltage at the end of a circuit to solve the problems of electromagnetic loss components not being explicitly decomposed in voltage drop, electric / magnetic field strength and dielectric parameters not being included in integrable power density calculations, making it difficult to clarify the priority of treatment and quantify benefits, separating thermal and electrical processes, and not continuously mapping axial heat flow of conductors, heat pipe heat absorption power and heat capacity to predicted quantities of resistance reduction and end voltage increase, resulting in the evaluation of treatment effectiveness relying on prior assumptions.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution:

[0007] In a first aspect, the present invention provides a method for mitigating end-point low voltage, comprising the following steps:

[0008] Multi-source data is collected and preprocessed to calculate the voltage drop gradient of each node, screen out abnormal voltage drop sections, calculate the voltage difference between adjacent nodes in the abnormal voltage drop section, generate electric field intensity, calculate the electromagnetic energy distribution of the line, and convert it into electromagnetic loss power along the section length. The electromagnetic loss power along the section length is integrated along the line length and normalized by current to obtain the electromagnetic loss voltage drop component.

[0009] Calculate the heat flux along the axial direction of the conductor, generate the heat absorption power of the heat pipe, convert the heat absorption power to temperature drop using the first law of thermodynamics, convert the temperature drop to resistance reduction, generate the post-treatment terminal voltage, and perform treatment classification on the post-treatment terminal voltage.

[0010] Build a visual interface to display the classification results, and store the multi-source data generated by collection and analysis.

[0011] As a preferred scheme of the terminal low-voltage treatment method, wherein: the electromagnetic energy distribution of the line is calculated, and converted into a section length electromagnetic loss power, the section length electromagnetic loss power is integrated along the line length, and normalized by the current to obtain an electromagnetic loss pressure drop component, including:

[0012] Calculate the time difference of signal propagation time to generate propagation delay, and convert it into effective electrical distance;

[0013] Based on the voltage and effective electrical distance, calculate the voltage drop gradient of each node, calculate the voltage drop gradient difference between adjacent nodes, set a detection threshold, filter the edges with a voltage drop gradient difference greater than the detection threshold, and mark them as abnormal edges to generate a voltage drop abnormal section;

[0014] Calculate the voltage difference between adjacent nodes in the voltage drop abnormal section to generate the electric field strength, calculate the magnetic field strength based on the current, and combine the electric field strength and the magnetic field strength to calculate the electromagnetic energy distribution of the line using the electromagnetic field energy density formula;

[0015] Divide the electromagnetic energy distribution by the sampling period to convert it into a section length electromagnetic loss power;

[0016] Integrate the section length electromagnetic loss power along the line length, and normalize it by the current to obtain an electromagnetic loss pressure drop component.

[0017] As a preferred scheme of the terminal low-voltage treatment method, wherein: the heat flux along the axial direction of the conductor is calculated, the heat absorption power of the heat pipe is generated, the heat absorption power is converted to temperature drop using the first law of thermodynamics, and the temperature drop is converted to resistance reduction to generate the post-treatment terminal voltage, including:

[0018] Based on the temperature of adjacent nodes, calculate the heat flux along the axial direction of the conductor, and based on the heat flux, calculate the heat absorption power of the heat pipe, and convert the heat absorption power to temperature drop;

[0019] Based on the temperature drop, calculate the resistance reduction, combine the resistance reduction and the current, and convert the resistance reduction to the post-treatment terminal voltage.

[0020] As a preferred scheme of the terminal low-voltage treatment method, wherein: the post-treatment terminal voltage is classified, including:

[0021] Calculate the absolute difference between the rated voltage of the power grid and the voltage at the end of the grid after the treatment;

[0022] Set a classification threshold, filter out terminal voltages with an absolute difference greater than the classification threshold, mark them as successfully treated, and maintain the current state; otherwise, recalculate the terminal voltage after treatment. Set the number of iterations b. If treatment is still unsuccessful after b consecutive iterations, issue an early warning and notify maintenance personnel to carry out maintenance.

[0023] As a preferred embodiment of the end-point low voltage mitigation method of the present invention, the step of constructing a visual interface to display the classification results includes:

[0024] Use the visualization tool Matplotlib to build a visualization interface to display the classification results in real time;

[0025] Users who have passed real-name verification are allowed to view it.

[0026] As a preferred embodiment of the end-point low voltage mitigation method of the present invention, the multi-source data collected and analyzed includes:

[0027] The collected multi-source data and the classification results generated from the analysis are stored in a central database, and secure access measures are set. The central database backs up the stored data to the cloud and regularly performs integrity checks on the stored data and backup data. After the checks are completed, integrity check records are generated and synchronously stored in the central database.

[0028] As a preferred embodiment of the end-point low voltage mitigation method of the present invention, the step of collecting multi-source data and performing preprocessing includes:

[0029] Obtain the topology of the power distribution network, define smart sensors as nodes, use the transmission paths connecting the nodes as edges to generate a directed graph, use smart sensors to collect multi-source data at the end of the power distribution line, and perform noise reduction and normalization processing.

[0030] The terminus of the power distribution line refers to the terminal node connected to the load.

[0031] The intelligent sensor includes a ranging wheel, a voltage sensor, an ultrasonic transducer, a current sensor, a resistance sensor, and a temperature sensor.

[0032] The multi-source data includes line length, voltage, signal propagation time, current, resistance, and temperature data.

[0033] In a second aspect, the present invention provides an end-point low-voltage management system, comprising:

[0034] The data acquisition and processing module is used to acquire multi-source data and perform noise reduction and normalization processing.

[0035] The loss filtering module is used to calculate the voltage drop gradient of each node, filter abnormal voltage drop sections, calculate the voltage difference between adjacent nodes in the abnormal voltage drop section, generate electric field strength, calculate the electromagnetic energy distribution of the line, and convert it into electromagnetic loss power along the section length. The electromagnetic loss power along the section length is integrated along the line length and normalized by current to obtain the electromagnetic loss voltage drop component.

[0036] The heat treatment classification module is used to calculate the heat flux density along the conductor axis, generate the heat absorption power of the heat pipe, convert the heat absorption power into the temperature drop using the first law of thermodynamics, convert the temperature drop into the resistance drop, generate the end voltage after treatment, and classify the end voltage after treatment.

[0037] The display and storage module is used to build a visual interface to display classification results and store multi-source data generated during collection and analysis.

[0038] Thirdly, the present invention provides a computer device including a memory and a processor, wherein the memory stores a computer program, wherein the computer program, when executed by the processor, implements any step of the end-of-line low-voltage management method as described in the first aspect of the present invention.

[0039] Fourthly, the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein, when the computer program is executed by a processor, it implements any step of the end-of-line low-voltage management method as described in the first aspect of the present invention.

[0040] The beneficial effects of this invention are as follows: By combining electric field strength and magnetic field strength with dielectric parameters, this invention achieves explicit decomposition of electromagnetic loss components in voltage drop, improving the accuracy of voltage drop cause identification and the quantitative clarity of treatment priorities. By calculating heat flux density and combining heat pipe heat absorption power with conductor heat capacity mapping, this invention achieves continuous coupling of electrical and thermal processes, improving the reliability of end-point voltage prediction and the objectivity of treatment effect evaluation. Attached Figure Description

[0041] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0042] Figure 1 This is a flowchart of the low voltage management method at the end of Example 1.

[0043] Figure 2 This is a schematic diagram of the end-of-line low voltage management system in Example 1. Detailed Implementation

[0044] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0045] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0046] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a single or selective embodiment that is mutually exclusive with other embodiments.

[0047] Example 1, referring to Figure 1 This is the first embodiment of the present invention, which provides a method for mitigating end-point low voltage, comprising the following steps:

[0048] S1. Collect multi-source data and preprocess it, calculate the voltage drop gradient of each node, screen the voltage drop abnormal section, calculate the voltage difference between adjacent nodes in the voltage drop abnormal section, generate electric field intensity, calculate the electromagnetic energy distribution of the line, and convert it into electromagnetic loss power of section length. Integrate the electromagnetic loss power of section length along the line length and normalize it with current to obtain the electromagnetic loss voltage drop component.

[0049] Specifically, this involves collecting and preprocessing multi-source data, including:

[0050] Obtain the topology of the power distribution network, define smart sensors as nodes, use the transmission paths connecting the nodes as edges to generate a directed graph, use smart sensors to collect multi-source data at the end of the power distribution line, and perform noise reduction and normalization processing.

[0051] At the end of the power distribution line, a breadth-first search algorithm is used to traverse the topology graph to generate the electrical distance from the node to the beginning. The percentile method is used to calculate 90% of the electrical distance as a candidate threshold. Electrical distances greater than the candidate threshold are selected and marked as the end node set.

[0052] The intelligent sensor includes a ranging wheel, a voltage sensor, an ultrasonic transducer, a current sensor, a resistance sensor, and a temperature sensor.

[0053] The multi-source data includes line length, voltage, signal propagation time, current, resistance, and temperature data.

[0054] Multi-source fusion can reduce the impact of single sensor errors and improve the stability of voltage drop anomaly detection. Through normalization, it eliminates system delay and amplitude drift at different measurement points.

[0055] Furthermore, the electromagnetic energy distribution of the line is calculated and converted into electromagnetic loss power over a segment length. This segment-length electromagnetic loss power is then integrated along the line length and normalized by current to obtain the electromagnetic loss voltage drop component, including:

[0056] The reference time is defined as the point in time from the start of power injection. The time difference between the signal propagation time and the reference time is calculated to generate the propagation delay. The effective electrical distance is then calculated using the following formula:

[0057] ,

[0058] ,

[0059] Where v is the signal propagation phase velocity, and l and c are the inductance and capacitance per unit length of the wire, respectively, based on the supplier's information. Let be the time delay for the signal to propagate from the injection point to the o-th node. The effective electrical distance from the injection point to the o-th node;

[0060] Based on voltage and effective electrical distance, the voltage drop gradient at each node is calculated using the following formula:

[0061] ,

[0062] in Let be the pressure drop gradient from the injection point to the 0th node. This is the real-time voltage at the terminal. This refers to the voltage at the signal injection terminal.

[0063] Calculate the pressure drop gradient difference between adjacent nodes, use statistical analysis to calculate the mean of the pressure drop gradient difference plus twice the standard deviation, set it as the detection threshold, filter out edges with pressure drop gradient differences greater than the detection threshold, mark them as abnormal edges, and generate pressure drop abnormal segments;

[0064] The electric field strength is generated by calculating the voltage difference between adjacent nodes within the abnormal voltage drop section using the following formula:

[0065] ,

[0066] in Let be the average electric field strength of the i-th segment of the line. Let be the voltage at the o-th node in the i-th line segment. Let be the physical length of the i-th segment of the line;

[0067] The formula for calculating magnetic field strength based on current is:

[0068] ,

[0069] in Let be the magnetic field strength of the i-th segment of the line. Let be the current at the o-th node within the i-th segment of the line, and r be the radius of the conductor;

[0070] Combining the electric and magnetic field strengths, the electromagnetic energy distribution of the circuit is calculated using the electromagnetic field energy density formula, which is:

[0071] ,

[0072] in Let i be the electromagnetic energy distribution of the i-th line segment. and These are the dielectric constant and magnetic permeability of the medium, respectively.

[0073] Divide the electromagnetic energy distribution by the sampling period to convert it into electromagnetic loss power over the segment length.

[0074] Integrating the electromagnetic loss power along the line length and normalizing it with current, we obtain the electromagnetic loss voltage drop component, as shown in the formula:

[0075] ,

[0076] in Let be the electromagnetic loss voltage drop component of the i-th line segment. Let be the electromagnetic loss power of the i-th line segment.

[0077] Effective electrical distance reflects the true length of the electrical signal propagation path, providing an accurate coordinate reference for voltage drop gradient calculation. Through propagation delay correction, it can distinguish voltage drop differences caused by changes in physical length and parameter anomalies. Compared with the traditional empirical threshold method, it uses statistical distribution characteristics as the basis for judgment, making it more objective and adaptive. Through gradient difference analysis, it can achieve sub-segment level positioning and identify the performance degradation of single cable segments or joints. The electric field reflects the potential gradient along the line, and the magnetic field reflects the current distribution. By combining the two, the electromagnetic energy transmission efficiency can be quantified. Through electromagnetic energy density, the voltage drop can be regarded as the integral result of energy loss, thereby quantitatively distinguishing transmission loss from power transfer efficiency. High energy density sections represent areas of concentrated loss and can be used as key targets for voltage management or equipment replacement. Through power integration and normalization, the voltage drop can be directly quantified by energy loss.

[0078] S2. Calculate the heat flux density along the conductor axis, generate the heat absorption power of the heat pipe, use the first law of thermodynamics to convert the heat absorption power into the temperature drop, convert the temperature drop into the resistance drop, generate the treated end voltage, and classify the treated end voltage.

[0079] Specifically, the heat flux density along the conductor axis is calculated to generate the heat absorption power of the heat pipe. The first law of thermodynamics is used to convert the heat absorption power into a temperature drop, and the temperature drop into a decrease in resistance, ultimately generating the voltage at the end of the heat pipe. This includes:

[0080] Based on the temperatures of adjacent nodes, the heat flux density along the conductor axis is calculated using Fourier's law of heat conduction, as follows:

[0081] ,

[0082] in Let be the heat flux density of the i-th line segment. Thermal conductivity of the conductor material, provided by the supplier. Let be the temperature of the 0th node in the i-th segment of the line. If the heat flux density is 0, the electromagnetic loss voltage drop component will be used as the end voltage after treatment.

[0083] The heat absorption power of a heat pipe can be calculated based on heat flux density using the following formula:

[0084] ,

[0085] in Let be the heat absorption power of the heat pipe in the i-th segment of the circuit. The effective contact area between the heat pipe and the wire is determined using a geometric dimension measurement method.

[0086] Using the first law of thermodynamics, the heat absorption power can be converted into a temperature drop using the following formula:

[0087] ,

[0088] ,

[0089] in Let i be the temperature drop of the i-th segment of the line. Let be the heat capacity of the i-th line segment. A and These are the conductor material density, nominal cross-sectional area, and specific heat capacity, respectively, provided by the supplier.

[0090] Based on the temperature drop and the temperature resistance characteristics of the conductor material, the resistance reduction is calculated using the following formula:

[0091] ,

[0092] in Let be the amount of resistance reduction in the i-th segment of the circuit. For 20 The reference resistor is provided by the supplier. The temperature coefficient of resistance is determined using experimental calibration.

[0093] Combining the decrease in resistance and the current, the decrease in resistance is converted into the voltage at the end after treatment, as shown in the following formula:

[0094] ,

[0095] in Let be the voltage at the end of the i-th line segment after treatment.

[0096] By calculating the heat flux density through the temperature difference between adjacent nodes, the local thermal conductivity and temperature rise unevenness of different sections of the conductor can be reflected in real time. When the heat flux density is zero, it is automatically identified as a state of thermal equilibrium or thermal blockage. At this time, the terminal voltage is corrected by the electromagnetic loss voltage drop to avoid invalid calculations and improve the stability of the algorithm. Compared with the traditional average temperature difference estimation method, this scheme can accurately depict the dynamic changes of the temperature gradient along the line, thereby improving the spatial resolution of the conductor's heating state. By combining the heat flux density with the effective contact area of ​​the heat pipe, the actual heat absorption power can be directly obtained, avoiding the deviation caused by the traditional empirical "heat dissipation coefficient" estimation. The calculation of heat absorption power enables the thermal management system to have adaptive adjustment capabilities, and can dynamically absorb heat according to the actual heating intensity of the conductor to achieve thermal balance control. Through the energy conservation relationship, the heat absorption power is converted into the temperature drop in the time dimension, realizing the quantitative mapping of heat power and temperature response. Using the resistance-temperature characteristic formula of the conductor material, the temperature change is directly mapped to the resistance change, realizing the coupling of thermal and electrical characteristics. By coupling the resistance change with the line current, the predicted value after voltage recovery is directly obtained, realizing the quantitative mapping from thermal behavior to power transmission performance.

[0097] Furthermore, the voltage at the end of the treatment process is categorized, including:

[0098] Calculate the absolute difference between the rated voltage of the power grid and the voltage at the end of the grid after the treatment;

[0099] Use 3 The criteria set a classification threshold, and the terminal voltage with an absolute difference greater than the classification threshold is selected and marked as successfully treated, and the current state is maintained. Otherwise, the terminal voltage after treatment is recalculated. The number of iterations b is set using an empirical rule. If treatment is still unsuccessful after b consecutive iterations, an early warning is issued and maintenance personnel are notified to carry out maintenance.

[0100] By calculating the absolute difference between the rated voltage and the voltage after treatment, and using the 3σ criterion to set the classification threshold, a statistically significant evaluation of the treatment effect can be achieved. The 3σ criterion can effectively distinguish between normal fluctuations and abnormal fluctuations, improve classification accuracy, and avoid misjudgment. When multiple iterations still fail to reach the treatment threshold, an automatic warning is issued, realizing the linkage from calculation and analysis to intelligent maintenance, and building a power grid self-diagnosis and self-repair mechanism.

[0101] S3. Construct a visual interface to display the classification results and store the multi-source data generated during collection and analysis;

[0102] Specifically, a visual interface will be built to display the classification results, including:

[0103] Use the visualization tool Matplotlib to build a visualization interface to display the classification results in real time;

[0104] Users who have passed real-name verification are allowed to view it.

[0105] The complex voltage classification results are converted into a visual spatial distribution and time series graph. Managers can intuitively identify abnormal voltage drop sections, voltage recovery areas and potential risk areas in the graph. Through the real-name verification mechanism, the system can realize access control for different user levels.

[0106] Furthermore, the storage and analysis of multi-source data includes:

[0107] The collected multi-source data and the classification results generated from the analysis are stored in a central database, and secure access measures are set. The central database backs up the stored data to the cloud and regularly performs integrity checks on the stored data and backup data. After the checks are completed, integrity check records are generated and synchronously stored in the central database.

[0108] A central database can unify the formatting and indexing of data from different sources, avoiding problems such as data fragmentation and version inconsistency. Regular integrity checks are performed to ensure that each data packet has a traceable security tag.

[0109] Example 2, refer to Figure 2 As a second embodiment of the present invention, a terminal low voltage management system includes:

[0110] The data acquisition and processing module is used to acquire multi-source data and perform noise reduction and normalization processing.

[0111] The loss filtering module is used to calculate the voltage drop gradient of each node, filter abnormal voltage drop sections, calculate the voltage difference between adjacent nodes in the abnormal voltage drop section, generate electric field strength, calculate the electromagnetic energy distribution of the line, and convert it into electromagnetic loss power along the section length. The electromagnetic loss power along the section length is integrated along the line length and normalized by current to obtain the electromagnetic loss voltage drop component.

[0112] The heat treatment classification module is used to calculate the heat flux density along the conductor axis, generate the heat absorption power of the heat pipe, convert the heat absorption power into the temperature drop using the first law of thermodynamics, convert the temperature drop into the resistance drop, generate the end voltage after treatment, and classify the end voltage after treatment.

[0113] The display and storage module is used to build a visual interface to display classification results and store multi-source data generated during collection and analysis.

[0114] This embodiment also provides a computer device applicable to the end-point low voltage management method, including: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to implement the end-point low voltage management method proposed in the above embodiment.

[0115] The computer device can be a terminal, comprising a processor, memory, communication interface, display screen, and input devices connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, carrier networks, NFC (Near Field Communication), or other technologies. The display screen can be an LCD screen or an e-ink screen. The input devices can be a touch layer covering the display screen, buttons, a trackball, or a touchpad on the computer device's casing, or an external keyboard, touchpad, or mouse.

[0116] This embodiment also provides a storage medium storing a computer program that, when executed by a processor, implements the end-of-line low-voltage management method as proposed in the above embodiments. The storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read Only Memory (EPROM), Programmable Red-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.

[0117] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for managing low voltage at the terminal, characterized in that: Includes the following steps: Multi-source data is collected and preprocessed to calculate the voltage drop gradient of each node, screen out abnormal voltage drop sections, calculate the voltage difference between adjacent nodes in the abnormal voltage drop section, generate electric field intensity, calculate the electromagnetic energy distribution of the line, and convert it into electromagnetic loss power along the section length. The electromagnetic loss power along the section length is integrated along the line length and normalized by current to obtain the electromagnetic loss voltage drop component. Calculate the heat flux density along the conductor axis, generate the heat absorption power of the heat pipe, use the first law of thermodynamics to convert the heat absorption power into the temperature drop, convert the temperature drop into the resistance drop, generate the treated terminal voltage, and classify the treated terminal voltage. Build a visual interface to display classification results and store multi-source data generated during collection and analysis.

2. The end-point low voltage mitigation method as described in claim 1, characterized in that: The electromagnetic energy distribution of the calculated circuit is converted into electromagnetic loss power over a segment length. This segment-length electromagnetic loss power is then integrated along the circuit length and normalized by current to obtain the electromagnetic loss voltage drop component, including: Calculate the time difference of signal propagation time, generate propagation delay, and convert it into effective electrical distance; Based on voltage and effective electrical distance, calculate the voltage drop gradient of each node, calculate the voltage drop gradient difference between adjacent nodes, set a detection threshold, filter edges with voltage drop gradient differences greater than the detection threshold, mark them as abnormal edges, and generate abnormal voltage drop sections. Calculate the voltage difference between adjacent nodes in the abnormal voltage drop section to generate the electric field strength. Based on the current, calculate the magnetic field strength. Combining the electric field strength and the magnetic field strength, use the electromagnetic field energy density formula to calculate the electromagnetic energy distribution of the line. Divide the electromagnetic energy distribution by the sampling period to convert it into electromagnetic loss power over the segment length. Integrate the electromagnetic loss power along the line length and normalize it by current to obtain the electromagnetic loss voltage drop component.

3. The end-point low voltage mitigation method as described in claim 2, characterized in that: The calculation of the heat flux density along the conductor axis generates the heat absorption power of the heat pipe. The first law of thermodynamics is used to convert the heat absorption power into a temperature drop, and the temperature drop into a resistance decrease, generating the voltage at the end of the heat pipe. This includes: Based on the temperatures of adjacent nodes, the heat flux density along the conductor axis is calculated. Based on the heat flux density, the heat absorption power of the heat pipe is calculated, and the heat absorption power is converted into the temperature drop. Based on the temperature drop, the resistance drop is calculated. Combining the resistance drop with the current, the resistance drop is converted into the voltage at the end after treatment.

4. The end-point low voltage mitigation method as described in claim 3, characterized in that: The classification of the treated terminal voltage includes: Calculate the absolute difference between the rated voltage of the power grid and the voltage at the end of the grid after the treatment; Set a classification threshold, filter out terminal voltages with an absolute difference greater than the classification threshold, mark them as successfully treated, and maintain the current state; otherwise, recalculate the terminal voltage after treatment. Set the number of iterations b. If treatment is still unsuccessful after b consecutive iterations, issue an early warning and notify maintenance personnel to carry out maintenance.

5. The end-point low voltage mitigation method as described in claim 4, characterized in that: The construction of a visual interface to display the classification results includes: Use the visualization tool Matplotlib to build a visualization interface to display the classification results in real time; Users who have passed real-name verification are allowed to view it.

6. The end-point low voltage mitigation method as described in claim 5, characterized in that: The multi-source data collected and analyzed includes: The collected multi-source data and the classification results generated from the analysis are stored in a central database, and secure access measures are set. The central database backs up the stored data to the cloud and regularly performs integrity checks on the stored data and backup data. After the checks are completed, integrity check records are generated and synchronously stored in the central database.

7. The end-point low voltage mitigation method as described in claim 1, characterized in that: The process of collecting and preprocessing multi-source data includes: Obtain the topology of the power distribution network, define smart sensors as nodes, use the transmission paths connecting the nodes as edges to generate a directed graph, use smart sensors to collect multi-source data at the end of the power distribution line, and perform noise reduction and normalization processing. The intelligent sensor includes a ranging wheel, a voltage sensor, an ultrasonic transducer, a current sensor, a resistance sensor, and a temperature sensor. The multi-source data includes line length, voltage, signal propagation time, current, resistance, and temperature data.

8. A terminal low-voltage management system for implementing the terminal low-voltage management method according to any one of claims 1 to 7, characterized in that: include: The data acquisition and processing module is used to acquire multi-source data and perform noise reduction and normalization processing. The loss filtering module is used to calculate the voltage drop gradient of each node, filter abnormal voltage drop sections, calculate the voltage difference between adjacent nodes in the abnormal voltage drop section, generate electric field strength, calculate the electromagnetic energy distribution of the line, and convert it into electromagnetic loss power along the section length. The electromagnetic loss power along the section length is integrated along the line length and normalized by current to obtain the electromagnetic loss voltage drop component. The heat treatment classification module is used to calculate the heat flux density along the conductor axis, generate the heat absorption power of the heat pipe, convert the heat absorption power into the temperature drop using the first law of thermodynamics, convert the temperature drop into the resistance drop, generate the end voltage after treatment, and classify the end voltage after treatment. The display and storage module is used to build a visual interface to display classification results and store multi-source data generated during collection and analysis.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, it implements the steps of the end-of-line low-voltage management method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, it implements the steps of the end-of-line low-voltage management method according to any one of claims 1 to 7.

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