Non-intrusive overhead line power detection apparatus and method
By employing a non-invasive overhead line power detection device and method, which utilizes a combination of openable coils and servo motors for installation and dynamically corrects voltage loss based on current environment data, the impact of line voltage drop and environmental changes on power detection has been resolved, thereby improving the accuracy and stability of power detection.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- STATE GRID BEIJING ELECTRIC POWER CO
- Filing Date
- 2026-02-28
- Publication Date
- 2026-06-16
AI Technical Summary
Existing non-invasive electrical quantity detection methods suffer from voltage estimation errors at measurement points when dealing with line voltage drop and changes in ambient temperature and humidity, affecting the accuracy and stability of the detection data.
A non-intrusive overhead line power detection device is adopted. Through the combination of an openable coil and a servo motor, a non-intrusive ring-shaped installation is achieved on the overhead line under test. Combined with current environment data and ambient temperature and humidity data, the voltage loss is dynamically corrected, and the voltage and power at the measurement point are calculated.
It improves the accuracy and stability of power detection, reduces the difficulty of manual operation and the risk of on-site installation and disassembly, adapts to measurement fluctuations under complex external conditions, meets the needs of remote power monitoring, and reduces the cost of manual meter reading.
Smart Images

Figure CN122218302A_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the technical field of power line operation status monitoring, and in particular relates to a non-intrusive overhead line power detection device and method. Background Technology
[0002] Currently, overhead lines are widely distributed and span a large area in power distribution networks and user-side power metering scenarios. There are differences in distance and line parameters between the on-site measurement points and the gate power stations. During the operation of the lines, they are also affected by changes in ambient temperature and humidity and fluctuations in current carrying capacity, resulting in obvious time-varying characteristics of voltage and power information at the measurement points. On-site testing needs to complete data collection and power assessment under the constraints of not interrupting power supply and not damaging the line structure.
[0003] Existing non-invasive power detection methods typically calculate power based on the current at the measurement point and in combination with the voltage and power factor at the junction. However, the description of the influence of line voltage drop during the calculation process is relatively rough, and the adaptability to the deviation caused by changes in ambient temperature, humidity and current carrying capacity is insufficient. This can easily lead to the accumulation of voltage estimation errors at the measurement point, thereby affecting the accuracy and stability of power detection data. Summary of the Invention
[0004] The purpose of this invention is to provide a non-invasive overhead line power detection device and method to solve the technical problem that existing power detection methods have inconsistent processing of the combined effects of line voltage drop and time-varying factors in the operating environment, resulting in increased deviations in power detection data.
[0005] To achieve the above objectives, the present invention adopts the following technical solution: In a first aspect, the present invention provides a non-invasive overhead line power detection device, comprising an upper openable coil assembly, a servo motor, a lower openable coil assembly, and a servo motor switch. The upper assembly of the openable coil and the lower assembly of the openable coil close together to form a measuring coil, and the lower assembly of the openable coil is provided with a cable groove; The servo motor is connected to the upper and lower components of the openable coil to drive the upper component of the openable coil to open and close relative to the lower component of the openable coil.
[0006] By adopting the above technical solution, a measuring coil is formed by closing the upper and lower components of the opening and closing coil and setting a cable groove in the lower component of the opening and closing coil. This enables non-intrusive ring-mounted installation and reliable positioning of the overhead line under test, thereby reducing the risk of live connection and improving on-site installation and disassembly efficiency. By connecting the servo motor to the upper and lower components of the opening and closing coil and driving their relative opening and closing, automatic opening and closing control of the measuring coil can be achieved, thereby reducing the difficulty of manual operation and improving installation consistency.
[0007] In one example, the present invention can be further configured such that: the side of the lower part of the openable coil assembly is provided with a side channel, the side channel being a guide space formed by a recess into the lower part of the openable coil assembly, and a servo switch is provided on the inner side of the side channel, so that an external component can enter the side channel and press the servo switch to trigger the servo to perform opening and closing control.
[0008] By adopting the above technical solution, by setting a side channel on the side of the lower component of the opening and closing coil and constructing it into a guide space that is recessed inward, a clear entry path and limit guide can be provided for external components, thereby reducing the position deviation of accidental triggering and improving the reliability of triggering operation; by setting a servo switch on the inside of the side channel and allowing external components to enter the side channel to press the servo switch, triggering control of the servo can be completed under external intervention conditions, thereby improving the accessibility of opening and closing action and reducing the risk of accidental triggering.
[0009] In one example, the invention can be further configured to include a mounting device comprising an insulating retaining sleeve, an insulating grip, and a spring pin. The spring pin is connected to the insulating retaining sleeve and can be inserted into the side channel to press the servo switch to control the upper and lower components of the openable coil to be in an open or closed state. The insulating retaining sleeve has an external thread, and the insulating grip has an internal thread that mates with the external thread, so that the insulating grip is threadedly connected to the insulating retaining sleeve.
[0010] By adopting the above technical solution, and by setting up an installation device including an insulating fixing sleeve, an insulating handle, and a spring pin, and enabling the spring pin to be inserted into the side channel to press the servo switch, remote safe triggering operation of the servo switch can be achieved, thereby reducing the risk of close contact for personnel working with live wires and improving on-site operational safety. The internal thread of the insulating handle and the external thread of the insulating fixing sleeve are matched to achieve a threaded connection, which can achieve stable assembly and reliable force transmission of the installation device, thereby improving the stability of the pin positioning and pressing action and reducing the risk of loosening and falling off.
[0011] In a second aspect, the present invention provides a non-invasive method for detecting the electrical charge of overhead lines, comprising: Acquire the current environment data of the overhead line under test, including the current at the measurement point and the ambient temperature and humidity data; Obtain the gate side voltage and power factor corresponding to the overhead line under test, obtain the distance between the measurement point and the gate power station, and obtain the percentage of voltage loss per ampere-kilometer from the cable voltage loss database based on the wire diameter of the overhead line under test. The percentage of voltage loss is determined based on the current at the measurement point, the distance, and the percentage of voltage loss per ampere-kilometer; and a correction factor is determined based on the current environment data. The voltage loss percentage is corrected by the correction factor to obtain the corrected voltage loss percentage, and then the voltage at the measurement point is determined based on the gate voltage and the corrected voltage loss percentage. The instantaneous active power is determined based on the voltage at the measurement point, the current at the measurement point, and the power factor, and the power detection data is obtained by accumulating the instantaneous active power with a preset sampling period.
[0012] By adopting the above technical solutions, and by acquiring the current environment data of the overhead line under test, including the current at the measurement point and the ambient temperature and humidity data, a basic input for current-environment coupling can be provided for power detection, thereby improving the adaptability to measurement fluctuations under complex external conditions. By acquiring the voltage and power factor at the junction and combining the distance and wire diameter to obtain the percentage of voltage loss per ampere-kilometer from the cable voltage loss database, a voltage loss estimation basis matching the line characteristics can be constructed, thereby improving the rationality and consistency of the voltage estimation at the measurement point. By determining the percentage of voltage loss based on the current at the measurement point, the distance, and the percentage of voltage loss per ampere-kilometer, and determining the correction coefficient based on the current environment data, dynamic correction modeling of voltage loss can be achieved, thereby reducing the estimation deviation caused by environmental changes and current carrying capacity changes. By correcting the percentage of voltage loss to obtain the voltage at the measurement point and further calculating the instantaneous active power and accumulating it to obtain the power detection data, non-intrusive continuous power statistics can be achieved, thereby meeting the needs of remote power monitoring of overhead lines and reducing the cost of manual meter reading.
[0013] In one example, the present invention can be further configured as follows: acquiring the current environment data of the overhead line under test includes: The current signal of the overhead line under test is collected, and the current signal is filtered and digitally processed to obtain the current at the measurement point. The ambient temperature and humidity data of the measurement points corresponding to the overhead line under test are obtained to obtain the ambient temperature and humidity data. The current at the measurement point is correlated with the ambient temperature and humidity data to generate the current environment data.
[0014] By adopting the above technical solution, the current at the measurement point is obtained by collecting the current signal of the overhead line under test and performing filtering and digital signal processing. This can suppress noise interference and extract effective current characteristics, thereby improving the stability and accuracy of the current acquisition at the measurement point. By acquiring ambient temperature and humidity data, an environmental temperature and humidity data can be obtained, forming an environmental characterization that reflects the external operating conditions, thus providing reliable input for subsequent correction coefficient calculations. By correlating the current at the measurement point with the ambient temperature and humidity data to generate current environment data, a correspondence between current and environment can be established, thereby improving the reliability of subsequent correction modeling and power detection results.
[0015] In one example, the present invention can be further configured as follows: determining the voltage loss percentage based on the measured point current, the distance, and the percentage voltage loss per ampere-kilometer, and determining a correction coefficient based on the current environment data, includes: A current-distance correlation quantity is generated based on the current at the measurement point and the distance. The voltage loss percentage is calculated based on the current-distance correlation and the voltage loss percentage per ampere-kilometer. Based on a preset temperature and humidity correction relationship, the ambient temperature data is mapped to a temperature correction component, and the ambient humidity data is mapped to a humidity correction component. Based on a preset current-carrying correction relationship, the current at the measurement point is mapped to a current correction component, and the temperature correction component, the humidity correction component, and the current correction component are fused to obtain the correction coefficient.
[0016] By adopting the above technical solutions, and generating a current-distance correlation quantity based on the current and distance at the measurement point, the line current-carrying capacity and transmission path factors can be coupled and characterized, thus providing a calculable intermediate quantity for voltage drop estimation. By calculating the voltage drop percentage based on the current-distance correlation quantity and the percentage of voltage drop per ampere-kilometer, a loss quantification result matching the line length and current-carrying capacity can be formed, thereby improving the consistency of voltage drop assessment. By mapping ambient temperature data to a temperature correction component and ambient humidity data to a humidity correction component based on the temperature and humidity correction relationship, environmental changes can be transformed into fusionable correction information, thereby reducing the impact of temperature and humidity fluctuations on voltage estimation. By mapping the measurement point current to a current correction component based on the current-carrying correction relationship and fusing the temperature correction component, humidity correction component, and current correction component to obtain a correction coefficient, multi-factor collaborative correction of voltage drop can be achieved, thereby improving the accuracy and stability of voltage estimation at the measurement point.
[0017] In one example, the present invention can be further configured such that: the fusion processing of the temperature correction component, the humidity correction component, and the current correction component to obtain the correction coefficient includes: The temperature correction component, the humidity correction component, and the current correction component are obtained, and the temperature correction component, the humidity correction component, and the current correction component are normalized. A fusion historical sample is constructed based on historically collected current environment data, and the fusion contribution value of the temperature correction component, the humidity correction component and the current correction component is determined according to the fusion historical sample. The fusion contribution value is updated when new current environment data is acquired. The temperature correction component, humidity correction component, and current correction component are weighted and fused according to the updated fusion contribution value, and the fused result is output as the correction coefficient.
[0018] By adopting the above technical solution, and by acquiring and normalizing the temperature correction component, humidity correction component, and current correction component, the dimensions and scales of components from different sources can be unified, thereby improving the controllability of the fusion process and reducing the offset caused by extreme values. By constructing fusion history samples based on historically collected current environment data and determining the fusion contribution value, and updating the fusion contribution value under new current environment data, adaptive calibration and continuous iteration of the fusion weight can be achieved, thereby improving the adaptability of the correction coefficient to long-term operating environment changes. By weighted fusion of the three types of correction components according to the updated fusion contribution value and outputting the correction coefficient, correction coefficients that are more consistent with actual operating conditions can be output, thereby improving the voltage drop correction effect and the reliability of power detection results.
[0019] In one example, the present invention can be further configured as follows: the step of correcting the voltage loss percentage using the correction coefficient to obtain a corrected voltage loss percentage, and then determining the measurement point voltage based on the gate-side voltage and the corrected voltage loss percentage, includes: The voltage loss correction amount is determined based on the correction coefficient and the voltage loss percentage, and the voltage loss correction amount and the voltage loss percentage are combined to obtain the corrected voltage loss percentage; The voltage loss value is determined based on the gate-side voltage and the corrected voltage loss percentage; The voltage at the control point is corrected based on the voltage loss value to obtain the voltage at the measurement point.
[0020] By adopting the above technical solution, the voltage loss correction amount is determined based on the correction coefficient and the voltage loss percentage, and the corrected voltage loss percentage is synthesized. This allows the environmental and current-carrying correction results to be effectively applied to loss estimation, thereby reducing the original voltage loss estimation error. By determining the voltage loss value based on the junction voltage and the corrected voltage loss percentage, the voltage change corresponding to the line loss can be obtained, thus providing a direct basis for voltage estimation at the measurement point. By correcting the junction voltage based on the voltage loss value to obtain the voltage at the measurement point, non-intrusive estimation of the voltage at the measurement point can be achieved, thereby improving the integrity of remote power calculation and reducing on-site wiring requirements.
[0021] In one example, the present invention can be further configured as follows: determining the voltage loss correction amount based on the correction coefficient and the voltage loss percentage, and synthesizing the voltage loss correction amount and the voltage loss percentage to obtain the corrected voltage loss percentage, includes: The correction coefficients are validated and constrained to obtain valid correction coefficients; The voltage loss correction amount is calculated based on the effective correction coefficient and the voltage loss percentage. The voltage loss correction amount is combined with the voltage loss percentage to obtain the corrected voltage loss percentage.
[0022] By adopting the above technical solutions, effective correction coefficients are obtained through validity verification and constraint processing of the correction coefficients, which avoids estimation drift caused by abnormal correction coefficients, thereby improving the stability and robustness of the correction process. By calculating the voltage loss correction amount based on the effective correction coefficients and the voltage loss percentage, a loss correction amount that matches the operating conditions can be formed, thereby improving the interpretability of the corrected voltage loss percentage. By superimposing the voltage loss correction amount and the voltage loss percentage to obtain the corrected voltage loss percentage, incremental correction of loss estimation can be achieved, thereby improving the accuracy of voltage estimation at the measurement point and improving the accuracy of power detection data.
[0023] In one example, the present invention can be further configured as follows: determining the instantaneous active power based on the voltage at the measurement point, the current at the measurement point, and the power factor, and accumulating the instantaneous active power with a preset sampling period to obtain power detection data, includes: The instantaneous active power is calculated based on the voltage at the measurement point, the current at the measurement point, and the power factor. The instantaneous active power is accumulated according to the preset sampling period to obtain the corresponding electricity. The instantaneous active power and the electrical quantity are correlated and summarized to generate the electrical quantity detection data.
[0024] By adopting the above technical solution, instantaneous active power can be calculated based on the voltage, current, and power factor at the measurement point, thus obtaining a true load power characterization at the corresponding sampling time and improving the consistency of power calculation. By accumulating the instantaneous active power according to a preset sampling period to obtain the corresponding electricity, continuous statistics and integral calculation of electrical energy can be achieved, thereby adapting to the needs of long-term electricity consumption monitoring. By associating and summarizing instantaneous active power and electricity to generate electricity detection data, data results that can be uploaded, stored, and analyzed can be formed, thereby supporting remote management of electricity detection and subsequent electricity consumption analysis. Attached Figure Description
[0025] The accompanying drawings, which form part of this specification, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an undue limitation of the invention. In the drawings: Figure 1 This is a front view of the non-intrusive overhead line power detection device according to an embodiment of the present invention; Figure 2 This is a left view of the non-intrusive overhead line power detection device according to an embodiment of the present invention; Figure 3 This is a front view of the non-intrusive overhead line power detection device and its installation device according to an embodiment of the present invention; Figure 4 These are top and left views of the installation mode of the insulating fixing sleeve of the installation device according to an embodiment of the present invention; Figure 5 These are top and left views of the installation device in the removal mode of the insulating fixing sleeve according to an embodiment of the present invention; Figure 6 This is a schematic diagram illustrating the installation of the non-intrusive overhead line power detection device according to an embodiment of the present invention using an installation device; Figure 7 This is a schematic diagram illustrating the removal of the non-intrusive overhead line power detection device according to an embodiment of the present invention via an installation device; Figure 8 This is a schematic diagram illustrating the conversion from installation mode to removal mode of the non-intrusive overhead line power detection device according to an embodiment of the present invention by rotating a spring pin; Figure 9 This is a flowchart of a non-intrusive overhead line power detection method in an embodiment of the present invention.
[0026] Among them, 1-upper part of the openable coil; 2-servo motor; 3-lower part of the openable coil; 4-insulating fixing sleeve; 5-insulating grip; 6-servo motor switch; 7-spring pin; 8-external thread. Detailed Implementation
[0027] The present invention will now be described in detail with reference to the accompanying drawings and embodiments. It should be noted that, unless otherwise specified, the embodiments and features described herein can be combined with each other.
[0028] The following detailed description is exemplary and intended to provide further detailed explanation of the invention. Unless otherwise specified, all technical terms used in this invention have the same meaning as commonly understood by one of ordinary skill in the art. The terminology used in this invention is for describing particular embodiments only and is not intended to limit the scope of exemplary embodiments according to the invention.
[0029] In one embodiment, such as Figure 1 As shown, this application discloses a non-invasive overhead line power detection device, including an upper openable coil assembly 1, a servo motor 2, and a lower openable coil assembly 3. The upper openable coil assembly 1 and the lower openable coil assembly 3 are arranged opposite to each other and enclose a measuring coil in the closed state. The lower openable coil assembly 3 is used to provide load-bearing and positioning support for the overhead line under test, and a cable groove for accommodating the overhead line under test is formed on the lower openable coil assembly 3. The servo motor 2 is connected to the upper openable coil assembly 1 and the lower openable coil assembly 3. When the servo motor 2 performs a driving action, it drives the upper openable coil assembly 1 to open and close relative to the lower openable coil assembly 3, so that the measuring coil can be quickly fitted onto the overhead line under test in the open state, and forms a stable and close measuring structure with the overhead line under test in the closed state.
[0030] Furthermore, such as Figure 2 As shown, the servo switch 6 is located on the side of the lower assembly 3 of the openable coil. The lower assembly 3 of the openable coil has a side channel on its side, which is a guide space formed by recesses into the lower assembly 3 of the openable coil. The servo switch 6 is located inside the side channel so that external components can enter along the side channel and press the servo switch 6, thereby triggering the servo 2 to perform opening and closing control. Under the drive of the servo 2, the upper assembly 1 of the openable coil is switched to the open or closed state relative to the lower assembly 3 of the openable coil, thereby realizing the opening and closing switching of the measuring coil and the switching of the measuring state.
[0031] Furthermore, such as Figure 3 As shown, the non-invasive overhead line power detection device also includes an installation device, which includes an insulating fixing sleeve 4 and an insulating handle 5, allowing the operator to safely hold and position the device in a live environment using the insulating handle 5; combined with Figure 4 and Figure 5As shown, the mounting device also includes a spring pin 7, which is connected to the insulating retaining sleeve 4 and can be inserted into the side channel to press the servo switch 6. This triggers the servo 2 to perform opening and closing control without the operator directly contacting the servo switch 6, thereby controlling the upper assembly 1 and the lower assembly 3 of the opening and closing coil to be in an open or closed state. Simultaneously, the insulating retaining sleeve 4 has an external thread 8, and the insulating handle 5 has an internal thread that mates with the external thread 8, so that the insulating handle 5 and the insulating retaining sleeve 4 form a threaded connection and maintain a stable assembly relationship. During actual installation, it can be used as follows... Figure 6 , Figure 7 and Figure 8 As shown, by pressing the servo switch 6 with the spring pin 7, the servo motor 2 is triggered to drive the measurement coil to open. After the overhead line to be tested is placed into the cable trough, the servo motor 2 is triggered again to drive the measurement coil to close to complete the installation. When it is necessary to remove it, the measurement coil is triggered to open in the same way to achieve quick removal, thereby improving the convenience of non-intrusive installation and removal and reducing the risk of live operation.
[0032] In one embodiment, such as Figure 9 As shown, this invention discloses a non-intrusive overhead line power detection method for controlling the aforementioned non-intrusive overhead line power detection device, specifically including the following steps: S10: Obtain the current environment data of the overhead line under test. The current environment data includes the current at the measurement point and the ambient temperature and humidity data.
[0033] Specifically, at the measurement point of the overhead line to be tested, the measuring coil is closed and sleeved on the outside of the conductor to complete the signal acquisition preparation. The corresponding current signal is acquired within the preset sampling period, and the ambient temperature and humidity data at the same measurement point are acquired simultaneously. A unified sampling time identifier is added to the current signal and the ambient temperature and humidity data and time alignment is performed. The aligned measurement point current and ambient temperature and humidity data are combined and stored as current environment data, which can be used as input data for voltage loss calculation and correction coefficient determination in subsequent steps.
[0034] S20: Obtain the gate side voltage and power factor corresponding to the overhead line under test, obtain the distance between the measurement point and the gate power station, and obtain the percentage of voltage loss per ampere-kilometer from the cable voltage loss database based on the wire diameter of the overhead line under test.
[0035] Specifically, the gate-side voltage U1 and power factor cosφ of the gate power station are obtained and a corresponding relationship is established with the overhead line under test. Simultaneously, the distance l between the measurement point and the gate power station is obtained and used as the equivalent path length of the line in subsequent calculations. Furthermore, the wire diameter information of the overhead line under test is read and path matching is performed in the cable voltage loss database according to wire diameter and line type. The percentage of voltage loss per ampere-kilometer Δu corresponding to the matching result is retrieved.a %[ / (A*km)], so that the gate-side voltage U1, the power factor cosφ, the distance l, and the percentage of voltage loss per ampere-kilometer together constitute the basic parameter set for voltage estimation at the measurement point.
[0036] S30: Determine the percentage of voltage loss based on the current at the measurement point, distance, and percentage of voltage loss per ampere-kilometer, and determine the correction factor based on the current environment data.
[0037] Specifically, the current at the measurement point in the current environment data is read and combined with the distance l and the percentage voltage loss per ampere-kilometer Δu. a The voltage loss percentage is calculated by performing the calculation process of %[ / (A*km)]. At the same time, the ambient temperature and humidity data in the current environment data are read and combined with the current carrying state of the measurement point current to determine the correction coefficient for voltage loss correction. The voltage loss percentage and the correction coefficient are associated and stored for subsequent correction of voltage loss and estimation of measurement point voltage.
[0038] S40: Correct the voltage loss percentage by adjusting the correction factor to obtain the corrected voltage loss percentage, and then determine the voltage at the measurement point based on the gate voltage and the corrected voltage loss percentage.
[0039] Specifically, the voltage loss percentage is corrected based on the correction coefficient to obtain the corrected voltage loss percentage. The voltage drop ΔU between the measurement point and the gate power station is calculated using the gate side voltage U1 and the corrected voltage loss percentage. Then, the gate side voltage U1 is corrected based on the voltage drop ΔU to obtain the measurement point voltage U2, so that the measurement point voltage U2 can be used as the voltage input for subsequent power and energy calculations.
[0040] S50: Determine the instantaneous active power based on the voltage, current and power factor at the measurement point, and accumulate the instantaneous active power with the preset sampling period to obtain the power detection data.
[0041] Specifically, the instantaneous active power P is obtained by reading the voltage U2 at the measurement point and combining it with the effective value of the current at the measurement point and the power factor cosφ. Then, the instantaneous active power P is accumulated according to the preset sampling period Δt to obtain the energy E for the corresponding time period. The instantaneous active power P and the energy E are correlated and summarized to form energy detection data and a sampling time identifier is added to meet the output requirements of non-intrusive overhead line energy detection.
[0042] In one embodiment, step S10, namely acquiring the current environment data of the overhead line under test, includes: S11: Collect the current signal of the overhead line under test, and perform filtering and digital signal processing on the current signal to obtain the current at the measurement point.
[0043] Specifically, due to the complex and variable external environment of overhead lines, factors such as ambient temperature, humidity, wind speed, and electromagnetic radiation can affect the accuracy of signal acquisition, resulting in high-frequency, low-frequency, and random noise components mixed into the original current signal. The acquired current signal is subjected to multi-level filtering and adaptive signal shaping processes in sequence, and the filtering parameters are dynamically adjusted according to the spectral characteristics of the current signal to automatically optimize the filtering bandwidth for different interference sources, thereby ensuring the fidelity of the original current signal. Furthermore, digital signal processing is used to perform real-time denoising and amplitude correction on the filtered current signal and output the digital sequence or effective value of the current at the measurement point, so that the obtained current at the measurement point can be stably used for subsequent voltage loss percentage and power calculation.
[0044] S12: Obtain the ambient temperature and humidity data of the corresponding measurement points of the overhead line under test, and obtain the ambient temperature and humidity data.
[0045] Specifically, ambient temperature data T and ambient humidity data H, reflecting the external environmental conditions, are acquired at the measurement points of the overhead line under test. A sampling time identifier is added to the ambient temperature data T and the ambient humidity data H to keep them consistent with the sampling time of the current at the measurement point. In the event of short-term fluctuations, the ambient temperature data T and the ambient humidity data H are synchronously sampled and time-aligned, so that the obtained ambient temperature and humidity data can be used as environmental input quantities for subsequent temperature and humidity correction relationship mapping and correction coefficient determination.
[0046] S13: Correlate the measured current with the ambient temperature and humidity data to generate current environment data.
[0047] Specifically, the current at the measurement point and the ambient temperature and humidity data are associated and bound together according to the same sampling time and a data structure of the same record is established. The record simultaneously retains the correspondence between the current at the measurement point, the ambient temperature data T and the ambient humidity data H and writes a unified timestamp to form current environment data that characterizes the current-carrying state of the measurement point and the external environment state, so that the voltage loss percentage can be corrected by multiple parameters in subsequent steps and the voltage at the measurement point can be adaptively estimated.
[0048] In one embodiment, step S30, namely determining the voltage loss percentage based on the measurement point current, distance, and percentage voltage loss per ampere-kilometer, and determining a correction factor based on current environment data, includes: S31: Generate current-distance correlation quantity based on the current and distance at the measurement point.
[0049] Specifically, the effective value of the current at the measurement point is read and recorded as I. At the same time, the distance l between the measurement point and the gate power station is read. The current I at the measurement point is correlated with the distance l to generate a current-distance correlation quantity lI or I·l, so that the current-distance correlation quantity can characterize the comprehensive influence of the line current on the voltage loss at a given distance and serve as an intermediate quantity for calculating the percentage of voltage loss.
[0050] S32: Calculate the voltage loss percentage based on the current distance correlation and the voltage loss percentage per ampere-kilometer.
[0051] Specifically, the percentage of voltage loss per ampere-kilometer Δu is read from the cable voltage loss database. a %[ / (A*km)], and the Δu a The voltage loss percentage Δu% is obtained by calculating the correlation between %[ / (A*km)] and the current distance, where In the formula, l is the distance between the measurement point and the gate power station in km, I is the current at the measurement point in A, and Δu% is used to characterize the base voltage loss ratio of the measurement point relative to the gate side voltage and is used as the input for correction processing in subsequent steps.
[0052] S33: Based on the preset temperature and humidity correction relationship, map the ambient temperature data to a temperature correction component and the ambient humidity data to a humidity correction component.
[0053] Specifically, ambient temperature data T and ambient humidity data H are read and the corresponding reference temperature T0 and reference humidity H0 are introduced. Based on the preset temperature and humidity correction relationship, the temperature deviation (T) is adjusted. T0) is mapped to a temperature correction component, and the humidity deviation (H) is mapped to a temperature correction component. H0) is mapped to a humidity correction component, enabling the temperature correction component and humidity correction component to quantify the direction and degree of influence of external environmental changes on voltage drop correction and to provide correction inputs of the same dimension for subsequent fusion processing.
[0054] S34: Based on the preset current-carrying correction relationship, the current at the measurement point is mapped to a current correction component, and the temperature correction component, humidity correction component and current correction component are fused to obtain the correction coefficient.
[0055] Specifically, the current at the measurement point is read and a reference current carrying capacity I0 is introduced. Based on a preset current carrying capacity correction relationship, the current carrying capacity deviation (I0) is adjusted. I0) is mapped to a current correction component. The temperature correction component, humidity correction component, and current correction component are further fused to obtain a correction coefficient. This correction coefficient is used to correct the voltage loss percentage Δu% to obtain the corrected voltage loss percentage Δu*%, where the correction relationship is... In the formula, α, β, and γ are the temperature correction coefficient, humidity correction coefficient, and current carrying correction coefficient, respectively. The fusion result within the square brackets is used as the correction coefficient to characterize the comprehensive contribution of temperature, humidity, and current carrying to voltage drop correction.
[0056] In one embodiment, step S34 involves fusing the temperature correction component, humidity correction component, and current correction component to obtain correction coefficients, including: S341: Obtain the temperature correction component, humidity correction component, and current correction component, and normalize the temperature correction component, humidity correction component, and current correction component.
[0057] Specifically, the temperature correction component, humidity correction component, and current correction component output from the temperature and humidity correction relationship and the current correction relationship are obtained, and the three types of correction components are normalized to eliminate the differences in dimensions and magnitudes. The normalization process includes scaling the value range of the components and constraining outliers to ensure that each component can participate in the subsequent fusion contribution value calculation and weighted fusion operation on a unified scale, so that the fusion result maintains stable response characteristics to different input dimensions.
[0058] S342: Construct a fusion historical sample based on historically collected current environment data, and determine the fusion contribution value of temperature correction component, humidity correction component and current correction component according to the fusion historical sample. Update the fusion contribution value when new current environment data is acquired.
[0059] Specifically, a fused historical sample set is constructed based on historically collected current environment data. The line current I, ambient temperature T, ambient humidity H, conductor diameter S, and distance L in each sample are used as input features. Simultaneously, the actual voltage drop ΔU_real at the reference point is used as the supervision annotation. The input features are fed into a regression mapping structure for contribution value prediction, outputting temperature correction coefficient α, humidity correction coefficient β, and current correction coefficient γ as the fused contribution values of the temperature correction component, humidity correction component, and current correction component. The regression mapping structure includes an input layer, a feature attention module, a time attention module, a nonlinear mapping layer, and an output layer. The feature attention module performs weighted learning on the correlation between input features and outputs a weighted feature vector h1. The time attention module performs weighted modeling on the temporal correlation of historical samples and outputs a time-series weighted feature h2. h1 and h2 are concatenated to obtain a comprehensive feature vector. c =[ 1; 2] and input to the nonlinear mapping layer, which uses a double hidden layer structure for feature transformation. The weight matrix of the first hidden layer is W1, the bias vector is b1, and the output is z1. The ReLU activation function satisfies The weight matrix of the second hidden layer is W2, the bias vector is b2, and the output is z2. , where the tanh activation function The output layer consists of three-dimensional regression nodes with a weight matrix of W. o The bias vector is b o The output fusion contribution value satisfies The predicted voltage drop ΔU_pred is calculated based on the output α*, β*, and γ* and the voltage drop prediction relationship. The predicted voltage drop ΔU_pred and the actual voltage drop ΔU_real constitute the training error. During the training process, the loss function L is constructed with the number of historical samples N as the base. By minimizing the loss function L on W1, b1, W2, b2, W o b o The attention weights are iteratively updated so that α*, β*, and γ* can converge to stable fusion contribution values as the sample data converges. When new current environment data is acquired, the new samples are added to the fusion history sample set and incremental updates are performed so that the updated α*, β*, and γ* can be used as new fusion contribution values for subsequent fusion processing of temperature correction components, humidity correction components, and current correction components.
[0060] S343: The temperature correction component, humidity correction component and current correction component are weighted and fused according to the updated fusion contribution value, and the fused result is output as the correction coefficient.
[0061] Specifically, the updated fusion contribution value is read and applied to the temperature correction component, humidity correction component, and current correction component respectively, according to... The fusion method performs weighted fusion on the three types of correction components to obtain the fusion result within square brackets. The fusion result is output as the correction coefficient K and associated with the voltage loss percentage Δu% at the corresponding sampling time. This allows subsequent steps to directly call the correction coefficient K to calculate the corrected voltage loss percentage and the voltage at the measurement point.
[0062] In one embodiment, step S40 involves correcting the voltage loss percentage using a correction factor to obtain a corrected voltage loss percentage, and then determining the measurement point voltage based on the gate voltage and the corrected voltage loss percentage, including: S41: Determine the voltage loss correction amount based on the correction coefficient and the voltage loss percentage, and synthesize the voltage loss correction amount and the voltage loss percentage to obtain the corrected voltage loss percentage.
[0063] Specifically, the correction coefficient K and the voltage loss percentage Δu% are read. Based on the correction coefficient K and the voltage loss percentage Δu%, the voltage loss correction amount is determined, and the voltage loss correction amount and the voltage loss percentage are combined to obtain the corrected voltage loss percentage Δu*%. The voltage loss correction amount is used to characterize the offset of the additional loss ratio caused by temperature and humidity current carrying factors, and the corrected voltage loss percentage Δu*% is used to characterize the voltage loss ratio after comprehensive correction and is subsequently used to calculate the voltage loss value and the voltage at the measurement point.
[0064] S42: Determine the voltage drop value based on the gate side voltage and the corrected voltage drop percentage.
[0065] Specifically, the gate-side voltage U1 is read and the corrected voltage loss percentage Δu*% is read. Based on the gate-side voltage U1 and the corrected voltage loss percentage Δu*%, the voltage loss value ΔU=U1Δu is calculated. * The voltage drop value ΔU is used to characterize the voltage drop amplitude of the measurement point relative to the gate power station side and serves as a direct input for calculating the voltage at the measurement point.
[0066] S43: Correct the voltage at the gate side based on the voltage drop value to obtain the voltage at the measurement point.
[0067] Specifically, the voltage drop value ΔU is read, and the gate-side voltage U1 is read. Based on the voltage drop value ΔU, the gate-side voltage U1 is subtracted to obtain the measurement point voltage U2. This is so that the obtained measurement point voltage U2 can be used together with the measurement point current for subsequent calculation and processing of instantaneous active power and energy.
[0068] In one embodiment, step S41, namely determining the voltage loss correction amount based on the correction coefficient and the voltage loss percentage, and combining the voltage loss correction amount and the voltage loss percentage to obtain the corrected voltage loss percentage, includes: S411: Perform validity verification and constraint processing on the correction coefficients to obtain valid correction coefficients.
[0069] Specifically, the correction coefficient K is read and its validity is checked to eliminate abnormal fluctuations or sudden values. Constraints are applied to the correction coefficient K that passes the check to ensure that it meets the physical reasonable range of voltage drop correction and maintains continuous and stable output. The result after check and constraint is used as the valid correction coefficient K′ and used for subsequent calculation of voltage drop correction amount.
[0070] S412: The voltage loss correction amount is calculated based on the effective correction factor and the percentage of voltage loss.
[0071] Specifically, the effective correction coefficient K′ and the voltage drop percentage Δu% are read. The voltage drop correction amount Δu is calculated based on the effective correction coefficient K′ and the voltage drop percentage Δu%. corr %, of which voltage drop correction Δu corr The percentage is used to characterize the proportional component that needs to be compensated or corrected relative to the base voltage loss percentage Δu%, so that the voltage loss correction amount can be synthesized with the base voltage loss percentage to form the corrected voltage loss percentage.
[0072] S413: Combine the voltage loss correction amount with the voltage loss percentage to obtain the corrected voltage loss percentage.
[0073] Specifically, the voltage drop correction amount Δu corr The corrected voltage loss percentage Δu*% is obtained by superimposing Δu% and Δu% on each voltage loss percentage, where the superposition satisfies Δu*% = Δu% + Δu corr %, and make the corrected voltage loss percentage Δu*% and The correction relationship obtained based on the temperature correction factor α, humidity correction factor β and current carrying correction factor γ is consistent, thus providing consistent correction results input for subsequent voltage drop values and measurement point voltage calculations.
[0074] In one embodiment, step S50, namely determining the instantaneous active power based on the voltage, current, and power factor at the measurement point, and accumulating the instantaneous active power with a preset sampling period to obtain power detection data, includes: S51: Calculate the instantaneous active power based on the voltage, current and power factor at the measurement point.
[0075] Specifically, the voltage U2 at the measurement point and the effective value of the current at the measurement point are read and recorded as I2. Simultaneously, the power factor cosφ obtained from the power station side is read. Based on the voltage U2, the current I2, and the power factor cosφ, the instantaneous active power P is calculated. This ensures that the obtained instantaneous active power P can reflect the active load level at the measurement point at the current sampling time.
[0076] S52: Accumulate the instantaneous active power according to the preset sampling period to obtain the corresponding electricity.
[0077] Specifically, a preset sampling period Δt is obtained, and the instantaneous active power P obtained from continuous sampling is accumulated periodically to obtain the energy E, where In the formula, Δt is the sampling period and is used to characterize the time resolution of power integration, so that the power E can correspond to the cumulative power consumption within the target time period.
[0078] S53: Associate and summarize instantaneous active power and electricity consumption to generate electricity consumption detection data.
[0079] Specifically, the instantaneous active power P corresponding to each sampling moment is associated with and summarized with the accumulated energy E to form an energy detection data record. The record retains the voltage U2 at the measurement point, the current I2 at the measurement point, the power factor cosφ, the instantaneous active power P, the energy E, and the corresponding sampling time identifier, so that the energy detection data can be used for remote monitoring, dynamic data processing, and subsequent energy statistical analysis.
[0080] In the description of this specification, references to terms such as "an embodiment," "example," "specific example," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.
[0081] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.
Claims
1. A non-invasive overhead line power detection device, characterized in that, Upper component of the openable coil (1), servo motor (2), lower component of the openable coil (3); The upper part of the openable coil (1) and the lower part of the openable coil (3) are closed to form a measuring coil, and the lower part of the openable coil (3) is provided with a cable groove; The servo motor (2) is connected to the upper part of the openable coil assembly (1) and the lower part of the openable coil assembly (3) to drive the upper part of the openable coil assembly (1) to open and close relative to the lower part of the openable coil assembly (3).
2. The non-invasive overhead line power detection device according to claim 1, characterized in that, The lower part of the openable coil assembly (3) has a side channel on its side. The side channel is a guide space formed by recessing into the lower part of the openable coil assembly (3). A servo switch (6) is provided on the inner side of the side channel so that external components can enter the side channel and press the servo switch (6) to trigger the servo (2) to perform opening and closing control.
3. The non-invasive overhead line power detection device according to claim 2, characterized in that, It also includes an installation device, which includes an insulating retaining sleeve (4), an insulating grip (5), and a spring pin (7). The spring pin (7) is connected to the insulating retaining sleeve (4) and can be inserted into the side channel to press the servo switch (6) to control the upper part of the openable coil assembly (1) and the lower part of the openable coil assembly (3) to be in an open or closed state. The insulating retaining sleeve (4) is provided with an external thread (8), and the insulating grip (5) is provided with an internal thread that mates with the external thread (8) so that the insulating grip is threadedly connected to the insulating retaining sleeve.
4. A method based on claim 1 3. The non-intrusive overhead line power detection method according to any one of the claims is characterized in that, include: Acquire the current environment data of the overhead line under test, including the current at the measurement point and the ambient temperature and humidity data; Obtain the gate side voltage and power factor corresponding to the overhead line under test, obtain the distance between the measurement point and the gate power station, and obtain the percentage of voltage loss per ampere-kilometer from the cable voltage loss database based on the wire diameter of the overhead line under test. The percentage of voltage loss is determined based on the current at the measurement point, the distance, and the percentage of voltage loss per ampere-kilometer; and a correction factor is determined based on the current environment data. The voltage loss percentage is corrected by the correction factor to obtain the corrected voltage loss percentage, and then the voltage at the measurement point is determined based on the gate voltage and the corrected voltage loss percentage. The instantaneous active power is determined based on the voltage at the measurement point, the current at the measurement point, and the power factor, and the power detection data is obtained by accumulating the instantaneous active power with a preset sampling period.
5. The non-intrusive overhead line power detection method according to claim 4, characterized in that, The acquisition of current environment data for the overhead line under test includes: The current signal of the overhead line under test is collected, and the current signal is filtered and digitally processed to obtain the current at the measurement point. The ambient temperature and humidity data of the measurement points corresponding to the overhead line under test are obtained to obtain the ambient temperature and humidity data. The current at the measurement point is correlated with the ambient temperature and humidity data to generate the current environment data.
6. The non-intrusive overhead line power detection method according to claim 5, characterized in that, The process of determining the voltage loss percentage based on the measured point current, the distance, and the percentage voltage loss per ampere-kilometer, and determining the correction coefficient based on the current environment data, includes: A current-distance correlation quantity is generated based on the current at the measurement point and the distance. The voltage loss percentage is calculated based on the current-distance correlation and the voltage loss percentage per ampere-kilometer. Based on a preset temperature and humidity correction relationship, the ambient temperature data is mapped to a temperature correction component, and the ambient humidity data is mapped to a humidity correction component. Based on a preset current-carrying correction relationship, the current at the measurement point is mapped to a current correction component, and the temperature correction component, the humidity correction component, and the current correction component are fused to obtain the correction coefficient.
7. The non-intrusive overhead line power detection method according to claim 6, characterized in that, The process of fusing the temperature correction component, the humidity correction component, and the current correction component to obtain the correction coefficient includes: The temperature correction component, the humidity correction component, and the current correction component are obtained, and the temperature correction component, the humidity correction component, and the current correction component are normalized. A fusion historical sample is constructed based on historically collected current environment data, and the fusion contribution value of the temperature correction component, the humidity correction component and the current correction component is determined according to the fusion historical sample. The fusion contribution value is updated when new current environment data is acquired. The temperature correction component, humidity correction component, and current correction component are weighted and fused according to the updated fusion contribution value, and the fused result is output as the correction coefficient.
8. The non-intrusive overhead line power detection method according to claim 4, characterized in that, The step of correcting the voltage loss percentage using the correction coefficient to obtain a corrected voltage loss percentage, and then determining the measurement point voltage based on the threshold voltage and the corrected voltage loss percentage, includes: The voltage loss correction amount is determined based on the correction coefficient and the voltage loss percentage, and the voltage loss correction amount and the voltage loss percentage are combined to obtain the corrected voltage loss percentage; The voltage loss value is determined based on the gate-side voltage and the corrected voltage loss percentage; The voltage at the control point is corrected based on the voltage loss value to obtain the voltage at the measurement point.
9. The non-intrusive overhead line power detection method according to claim 8, characterized in that, The step of determining the voltage loss correction amount based on the correction coefficient and the voltage loss percentage, and synthesizing the voltage loss correction amount and the voltage loss percentage to obtain the corrected voltage loss percentage, includes: The correction coefficients are validated and constrained to obtain valid correction coefficients; The voltage loss correction amount is calculated based on the effective correction coefficient and the voltage loss percentage. The voltage loss correction amount is combined with the voltage loss percentage to obtain the corrected voltage loss percentage.
10. The non-intrusive overhead line power detection method according to claim 4, characterized in that, The step of determining the instantaneous active power based on the voltage at the measurement point, the current at the measurement point, and the power factor, and accumulating the instantaneous active power with a preset sampling period to obtain power detection data includes: The instantaneous active power is calculated based on the voltage at the measurement point, the current at the measurement point, and the power factor. The instantaneous active power is accumulated according to the preset sampling period to obtain the corresponding electricity. The instantaneous active power and the electrical quantity are correlated and summarized to generate the electrical quantity detection data.