A multi-parameter collaborative detection method and system for concealed faults in power distribution construction process

Abstract

The application discloses a kind of multi-parameter collaborative detection method, system, intelligent terminal and storage medium of hidden fault in power distribution construction process.The method is applied to power distribution construction stage, by the synchronous collection of the current and other electrical parameters of construction circuit, the current short-time fluctuation index for representing the degree of current short-time random fluctuation is constructed in the preset time window, and the harmonic distortion rate is obtained by spectrum analysis to current signal;The current short-time fluctuation index and harmonic distortion rate are cooperatively determined, and when both exceed the corresponding preset threshold value, it is determined that there is hidden fault of virtual connection or poor contact in construction circuit.The application can effectively identify hidden construction defects that are difficult to find by traditional static detection methods under no power transmission or light load conditions, reduce the risk of misjudgment, realize the early identification and accurate determination of construction quality problems, thereby improving the safety and reliability before the operation of distribution network.

Description

Technical Field

[0001] This application relates to the fields of power distribution network construction inspection and power operation safety technology, and in particular to a construction hidden fault detection technology based on multi-parameter collaborative analysis applied in the power distribution construction stage under conditions of no power supply or light load. Background Technology

[0002] In the technical field of power distribution network construction, renovation, and maintenance, construction quality is the cornerstone for ensuring the safety and stability of subsequent power transmission and long-term operation. As modern power distribution systems become increasingly complex, construction sites often involve complex wiring operations involving multiple circuits, multiple connection points, and multiple phases. During this process, problems such as wiring errors, reversed phase sequences, loose connections, or poor contact can easily create serious safety hazards for the power grid.

[0003] In existing technologies, the inspection of construction quality mainly relies on manual experience or static testing methods such as continuity and insulation tests after construction is completed. However, these methods have significant limitations, typically only detecting obvious physical errors such as broken connections or damaged insulation. For more subtle problems, such as loose connections, minor contact issues, and potential phase sequence anomalies, static testing methods often fail to detect them in a timely manner when not in operation. In actual engineering projects, these hidden construction faults often exhibit delayed exposure, gradually appearing only after formal power supply or operation under load for a period of time, as thermal or electromagnetic effects accumulate. These problems can range from minor issues like localized abnormal heating and equipment instability to serious accidents such as short circuits, tripping, and even endangering personal safety. Once these problems are exposed during operation, not only is troubleshooting extremely difficult, but rework costs are also incurred, severely impacting power supply reliability.

[0004] Therefore, how to construct a technical solution that can quantitatively detect and intelligently analyze the construction process during the power distribution construction phase and before formal power transmission, so as to achieve early identification and accurate location of hidden construction faults, thereby moving operational risks forward and eliminating them at the source, has become an urgent technical problem to be solved. Summary of the Invention

[0005] In view of the problems existing in the prior art, the embodiments of this specification provide a multi-parameter collaborative detection method, system, intelligent terminal and storage medium for hidden faults in the power distribution construction process, so as to overcome the problem that hidden faults are difficult to detect in a timely manner during the construction stage in the prior art, and realize process controllability of construction quality and risk identification in advance.

[0006] According to a first aspect of the present invention, a multi-parameter collaborative detection method for hidden faults during power distribution construction is provided, characterized in that it is applied to the power distribution construction stage and includes the following steps: S1. During the power distribution construction phase, the electrical parameters of the construction circuit are collected synchronously through a smart terminal. The electrical parameters include at least the current parameters of each phase. S2. Within a preset time window, the current parameters are processed, and a short-time current fluctuation index is constructed based on multiple current sampling points within the time window. This index is used to characterize the degree of random current fluctuation in the construction circuit over a short time scale. The short-time current fluctuation index is calculated as follows: ; in, This represents the current value at the k-th sampling point within the time window. It represents the average value of all instantaneous current values ​​within the time window ΔT; This represents the number of sampling points within the time window. S3. Within the time period corresponding to the time window, perform spectral analysis on the current signal, extract the fundamental component and at least the second harmonic components, and calculate the corresponding harmonic distortion rate (THD). The THD is calculated as follows: in, This represents the amplitude of the fundamental component of the current signal. is the amplitude of the h-th harmonic component; H is the maximum harmonic order analyzed. S4. The short-time fluctuation index of the current The harmonic distortion rate (THD) is used for collaborative determination and analysis; the short-time fluctuation index of the current and the harmonic distortion rate are analyzed and processed collaboratively within the same time window scale. S5. Risk assessment of unauthorized connections based on dual thresholds: When the short-term current fluctuation index... Greater than the first preset threshold And the harmonic distortion rate (THD) is greater than the second preset threshold. If the circuit is faulty, it is determined that there is a hidden fault such as a loose connection or poor contact in the construction circuit; otherwise, the construction circuit is determined to be in normal construction condition.

[0007] Preferably, the method further includes step S6: after determining that the hidden fault exists, the location of the hidden fault is located according to the distribution of the short-time current fluctuation index and harmonic distortion rate corresponding to different phases or different construction circuits, and the construction inspection results are output.

[0008] Preferably, the short-time current fluctuation index is calculated based on the deviation of the current value at each sampling point within the time window from the average current value, and is used to characterize the unsteady current fluctuation characteristics caused by changes in the stability of the contact interface.

[0009] Preferably, the collaborative judgment analysis adopts a dual threshold constraint method, and only when the short-time current fluctuation index and the harmonic distortion rate both exceed the corresponding thresholds will a judgment result indicating the existence of a hidden fault be output.

[0010] Preferably, after determining that the hidden fault exists, the method further includes: Based on the distribution of short-time current fluctuation indicators and harmonic distortion rates corresponding to different phases or different construction circuits, the location of hidden faults can be determined.

[0011] Another aspect of the present invention is to provide a multi-parameter collaborative detection system for hidden faults during power distribution construction, characterized in that it includes: The data acquisition module is used to synchronously collect electrical parameters of the construction circuit during the power distribution construction phase; The time window analysis module is used to divide the collected current parameters into time windows; A current short-time fluctuation feature construction module is used to construct a current short-time fluctuation index within the time window; The harmonic analysis module is used to calculate the harmonic distortion rate corresponding to the time window; The collaborative judgment module is used to jointly judge the short-time current fluctuation index and the harmonic distortion rate, and output the hidden fault judgment result when both exceed the corresponding thresholds; and, The fault location and output module is used to determine the suspected location of a hidden fault and output the detection results based on the judgment results of different phases or different construction circuits after a hidden fault is detected.

[0012] Preferably, the data acquisition module uses a unified time base to synchronously acquire various electrical parameters.

[0013] Preferably, it also includes a fault location module, used to determine the suspected location of a hidden fault based on the judgment results of different phases or different construction circuits.

[0014] Another aspect of the present invention is to provide a smart terminal or computer-readable storage medium, characterized in that the smart terminal includes a processor and a memory, the storage medium stores a computer program, and the computer program, when executed by the processor, is used to implement the above-described method.

[0015] This invention addresses the problem that existing power distribution construction detection technologies struggle to distinguish between unsteady electrical anomalies caused by loose connections or poor contact and random disturbances at the construction site under unpowered or lightly loaded conditions. This invention introduces a short-time current fluctuation index based on a time window during the construction phase to quantify the random current fluctuation characteristics of the construction circuit within a short time scale, thereby characterizing the electrical response features caused by changes in the stability of the contact interface.

[0016] In addition, to address the problem that single electrical characteristics are easily affected by environmental noise, equipment start-up and shutdown, and transient interference at the construction site, leading to misjudgment, this invention further combines the short-time current fluctuation index with the harmonic distortion rate characteristic for joint judgment. Through a dual threshold constraint mechanism, it is determined that there is a risk of loose connection or poor contact only when the time domain fluctuation characteristic and the frequency domain nonlinear characteristic are abnormal at the same time.

[0017] The present invention achieves the following technical effects: by quantitatively analyzing the intensity of short-time current fluctuations, the system can detect non-stationary current disturbances caused by minute changes in contact resistance in advance when the steady-state current and voltage are within limits. This effectively compensates for the shortcomings of existing detection methods based solely on steady-state parameters in identifying minor loose connections, and enables early detection of hidden contact anomalies during the construction phase.

[0018] By jointly constraining the time domain and frequency domain features, misjudgments caused by occasional disturbances or measurement noise are effectively suppressed. While significantly improving the accuracy of identifying hidden faults such as loose connections, a low misjudgment rate is maintained, thereby improving the stability and reliability of construction inspection results and providing a more credible basis for judgment on construction quality control and power transmission safety.

[0019] In summary, this invention addresses the problem that traditional steady-state detection methods struggle to identify hidden construction defects such as loose connections or poor contact during the power distribution construction phase, when the system is not yet officially energized or is only under light load conditions. It constructs a short-term random fluctuation index of current within a preset time window to characterize the non-steady-state electrical response features caused by changes in the stability of the contact interface.

[0020] Based on this, the present invention further performs collaborative constraint judgment on the time-domain fluctuation characteristics and the frequency-domain harmonic distortion rate characteristics reflecting nonlinear contact characteristics. Only when both types of characteristics are abnormal at the same time scale will the hidden fault judgment result be output, thereby achieving high-confidence early identification of hidden contact defects during the construction stage. Attached Figure Description

[0021] To more clearly illustrate the technical solutions in the embodiments or related technologies of this specification, the drawings used in the description of the embodiments or related technologies will be briefly introduced below. 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.

[0022] Figure 1 This is a schematic diagram of the overall process of the multi-parameter collaborative detection method for hidden faults in the power distribution construction process provided in the embodiments of the present invention; Figure 2 The structural block diagram of the multi-parameter collaborative detection system for hidden faults in the power distribution construction process provided in the embodiments of the present invention is shown. Detailed Implementation

[0023] The technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0024] It should be noted that the terms "comprising" and "having," and any variations thereof, in the embodiments and drawings of this specification are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units is not limited to the steps or units listed, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or devices.

[0025] This specification discloses a personalized real-time question bank push system based on a learning behavior model, which will be described in detail below.

[0026] Example 1: Multi-parameter collaborative detection method for hidden faults during power distribution construction This specification provides a multi-parameter collaborative detection method for hidden faults during power distribution construction. Addressing the issue that loose connections and minor contact defects are difficult to identify using static detection methods during the construction phase before formal power supply or under light load conditions, this method introduces a collaborative analysis mechanism combining time-dimensional current fluctuation characteristics and spectral harmonic characteristics to achieve early identification of hidden construction defects. The method specifically includes the following steps: Step S1: Synchronous acquisition of multi-dimensional electrical parameters during the construction phase.

[0027] During the power distribution construction phase, intelligent terminals deployed in the construction circuits are used to synchronously collect the electrical parameters of the construction circuits.

[0028] During the power distribution construction phase, intelligent terminals deployed in the construction circuits are used to synchronously collect electrical parameters of the circuits. In the embodiments of this specification, data acquisition is not limited to single voltage or current readings. The intelligent terminals, through a high-precision sensor array, acquire in real time: the instantaneous current value I(k) of each phase; the voltage amplitude U of each phase; and the harmonic component current value. Phase angle parameters reflecting phase relationship The system acquires power grid phase sequence information and harmonic distortion rate (THD), which reflects waveform quality, achieving "multi-dimensional" acquisition. To ensure the accuracy of subsequent collaborative analysis and eliminate time phase errors, a strict unified time reference is set for the acquisition process, and the acquisition period is set to [missing information]. This ensures that all parameters are acquired at the same time, thus achieving "synchronous" acquisition. Specifically, to capture minute, non-periodic current disturbances caused by loose connections or poor contact during the construction phase, the current signal is acquired at a sampling frequency higher than that of conventional operation monitoring. A unified time reference is introduced during the acquisition process, and all parameters are timestamped to ensure that different parameters are comparable at the same time scale.

[0029] The above methods enable high temporal resolution and multi-parameter synchronous sensing of the electrical status of the construction circuit, providing a raw data foundation for subsequent fluctuation analysis and spectrum analysis.

[0030] Step S2: Constructing short-term current fluctuation characteristics based on time windows.

[0031] Based on the current data collected in step S1, within a preset time window The built-in current short-time fluctuation characteristics.

[0032] Specifically, in the time window Within, the results of continuous sampling instantaneous current value Calculate the short-time fluctuation index of current Its definition is as follows: Where: I(k) represents the instantaneous current value at the kth sampling point within the time window; This represents the average value of all instantaneous current values ​​within the time window ΔT; N is the number of sampling points within the time window. This is used to characterize the intensity of random current fluctuations in a construction circuit over a short timescale.

[0033] Under normal construction and connection conditions, since the contact resistance is stable, current fluctuations mainly originate from environmental noise. It remains at a low level; however, when there is a loose connection or poor contact, the contact interface will experience random changes in contact resistance under the action of micro-vibration or thermal disturbance, resulting in non-stationary fluctuations in current over a short period of time. It has increased significantly.

[0034] Step S3: Calculation and spectral characterization of harmonic distortion rate characteristics.

[0035] Within the same time window ΔT as in step S2, the acquired current signal is subjected to spectral analysis to calculate the corresponding harmonic distortion rate (THD).

[0036] Specifically, the fundamental component of the current signal is extracted. and at least second-order harmonic components. The harmonic distortion rate is calculated using the following formula: ; in, This represents the amplitude of the fundamental component of the current signal. is the amplitude of the h-th harmonic component; H is the maximum harmonic order analyzed. Step S4: Synergistic analysis of current fluctuation characteristics and harmonic characteristics.

[0037] The short-time current fluctuation index obtained in step S2 Perform co-analysis with the harmonic distortion rate (THD) obtained in step S3.

[0038] In this embodiment, the collaborative analysis is not a simple superposition of two features, but is based on the following technical understanding: short-time current fluctuations reflect the instability of the contact state in the time dimension; harmonic distortion rate reflects the nonlinear characteristics of the contact state in the spectral dimension; only when both features are abnormal at the same time can the actual poor contact be effectively distinguished from random interference or instrument noise at the construction site.

[0039] Through the aforementioned collaborative mechanism, the hidden construction defects such as loose connections and poor contact can be specifically characterized.

[0040] In one specific embodiment, the collaborative analysis is performed as follows: within the same preset time window ΔT, the corresponding short-time current fluctuation index is calculated respectively. The harmonic distortion rate (THD) and the two were treated as a pair of synergistic analysis features.

[0041] First, regarding the short-time fluctuation index of the current Time alignment with the harmonic distortion rate (THD) is performed to ensure that both originate from current sampling data within the same time window; subsequently, this time window... A correlation analysis was performed with the trend of THD to determine whether the abnormal increase in the short-term current fluctuation index was accompanied by a synchronous increase in harmonic distortion rate.

[0042] In this embodiment, if it occurs within a certain time window If the THD is significantly higher than its historical stable range and increases synchronously with adjacent time windows, then the time window is marked as a "cooperative anomaly time window," and the corresponding cooperative analysis results are used as the input basis for the subsequent dual threshold determination step.

[0043] Step S5: Determine the risk of virtual connection based on dual thresholds.

[0044] Based on the collaborative analysis results of step S4, a current fluctuation threshold is set. and harmonic distortion rate threshold The contact status of the construction circuit is judged according to the following judgment rules: = If and only if the short-time current fluctuation index Exceeding the first threshold Furthermore, the harmonic distortion rate (THD) simultaneously exceeds the second threshold. At that time, the system determines that there is a risk of loose connection or poor contact in the construction circuit.

[0045] This dual-constraint judgment mechanism effectively avoids misjudgments caused by transient disturbances, start-up and shutdown of construction equipment, or environmental noise, thereby improving the reliability of hidden fault identification during the construction phase.

[0046] Optionally, the method may also include: Step S6: Fault location and construction feedback output.

[0047] After determining that there is a risk of loose connection or poor contact, further consideration should be given to different phases and different circuits. Based on the distribution of THD, the location of the fault is analyzed.

[0048] Specifically: if abnormal fluctuations and harmonic characteristics are concentrated in a certain phase, the fault will be located at the construction connection point of the corresponding phase; if multiple lower-level circuits show abnormal characteristics at the same time, the fault will be located at their upper-level common connection node.

[0049] Ultimately, the system generates construction inspection results that include fault type, occurrence time, risk level, and suspected fault location, and feeds them back to construction personnel via display terminal or communication interface to guide timely rectification on site, thereby eliminating potential operational risks before power is supplied.

[0050] Example 2: Multi-parameter collaborative detection system for hidden faults during power distribution construction like Figure 2 As shown in the figure, this embodiment provides a multi-parameter collaborative detection system for hidden faults in the power distribution construction process. The system is applied to the construction, renovation or maintenance phase of the power distribution network, and is especially suitable for the detection scenario of construction circuits that have not yet been officially energized or are only under light load conditions. It is used to identify hidden construction defects such as loose connections or poor contact in advance.

[0051] The system is built around the method described in Embodiment 1, and its overall structure includes: a data acquisition module, a time window analysis module, a current fluctuation feature construction module, a harmonic analysis module, a collaborative judgment module, and a fault location and output module.

[0052] I. Data Acquisition Module The data acquisition module, as the front-end sensing unit of the system, is used to synchronously collect multi-dimensional electrical parameters of the construction circuit during the power distribution construction phase.

[0053] In this embodiment, the data acquisition module includes at least: a current acquisition unit for acquiring instantaneous current signals of each phase; a voltage acquisition unit for acquiring corresponding voltage amplitude information; a phase measurement unit for acquiring phase angle and phase sequence information; and a harmonic acquisition unit for extracting harmonic components from the current signal.

[0054] The data acquisition module uses a unified time synchronization mechanism to timestamp different electrical parameters, thereby ensuring that each parameter is acquired under the same time reference and avoiding analysis errors caused by time offset.

[0055] Through the above design, the data acquisition module provides high time resolution and alignable raw data for subsequent current fluctuation analysis and harmonic analysis.

[0056] II. Time Window Analysis Module The time window analysis module is connected to the data acquisition module and is used to perform time segmentation processing on the acquired continuous current data.

[0057] Specifically, the time window analysis module divides the current sampling sequence into multiple continuous analysis windows according to a preset time window length ΔT; each time window contains N continuous sampling points.

[0058] By introducing a time window analysis mechanism, the system can focus on the short-term, unsteady-state current disturbance characteristics caused by loose connections or poor contact during the construction phase, rather than relying solely on steady-state average values ​​for judgment.

[0059] III. Current Short-Time Fluctuation Characteristic Construction Module The current short-time fluctuation feature construction module is connected to the time window analysis module and is used to construct the current short-time fluctuation feature within each time window.

[0060] In this embodiment, the current short-time fluctuation feature construction module is based on the instantaneous current sampling value within the time window. Calculate the short-time fluctuation index of current. The calculation formula is as follows: Where I represents the average value of the instantaneous current within the current time window.

[0061] The short-time current fluctuation characteristics are used to reflect the degree of random current fluctuation in the construction circuit within a short time scale, thereby characterizing the electrical response characteristics caused by changes in the stability of the contact interface.

[0062] IV. Harmonic Analysis Module The harmonic analysis module is connected to the data acquisition module and the time window analysis module, and is used to perform spectrum analysis on the current signal within the time window corresponding to the current fluctuation characteristics.

[0063] In this embodiment, the harmonic analysis module includes at least: a fundamental frequency extraction unit, used to acquire the amplitude of the fundamental frequency component of the current signal. The harmonic extraction unit is used to acquire at least the second-order higher harmonic components. The harmonic calculation unit is used to calculate the harmonic distortion rate (THD) based on the fundamental and harmonic components. The calculation method for the harmonic distortion rate (THD) is as follows: ; The harmonic analysis module is used to characterize the spectral anomalies introduced by nonlinear contact resistance in the construction circuit.

[0064] V. Collaborative Judgment Module The collaborative determination module is connected to the current short-time fluctuation feature construction module and the harmonic analysis module, respectively, and is used to perform collaborative determination analysis on the two types of features.

[0065] In this embodiment, the collaborative determination module pre-stores: current fluctuation threshold. Harmonic distortion rate threshold .

[0066] The collaborative judgment module analyzes the status of the construction circuit according to the following judgment rules: when the short-time fluctuation index of the current... And harmonic distortion rate When the conditions are met, the collaborative judgment module outputs a judgment result of "there is a risk of loose connection or poor contact"; when the above conditions are not met simultaneously, it outputs a judgment result of "no contact abnormality detected".

[0067] By combining time-domain fluctuation characteristics with frequency-domain harmonic characteristics, misjudgments caused by transient interference at the construction site, equipment start-up and shutdown, or environmental noise can be effectively avoided.

[0068] VI. Fault Location and Output Module The fault location and output module is connected to the collaborative judgment module. It is used to locate the fault location and output the detection results after detecting the risk of loose connection or poor contact.

[0069] In this embodiment, the fault location and output module is based on different phases and different circuits. Based on the distribution of THD, determine the spatial concentration area of ​​abnormal characteristics, and infer the phase or contact location where the fault occurred.

[0070] The fault location and output module is also used to generate construction inspection result information, which includes at least: fault type; risk level; occurrence time; and suspected fault location.

[0071] The test results can be visualized on a display terminal or sent to the construction management system via a communication interface to guide construction personnel to make targeted rectifications before power is supplied.

[0072] In practical implementation, the power distribution construction concealed fault detection system can be integrated into a portable construction detection terminal or deployed on a back-end server and connected to the front-end acquisition equipment via wired or wireless communication, thus possessing good engineering adaptability and scalability.

[0073] Example 3: A computer-readable storage medium.

[0074] The computer-readable storage medium stores a computer program that, when executed by a processor, is used to implement the multi-parameter collaborative detection method for hidden faults in the power distribution construction process as described in Embodiment 1 above.

[0075] In this embodiment, the computer-readable storage medium can be a non-transient computer-readable storage medium, including but not limited to: read-only memory (ROM), random access memory (RAM), flash memory, solid-state drive, disk, or other storage media capable of storing program code.

[0076] When the computer program is loaded and run, it is specifically used to execute the following functional modules or functional steps: Acquire electrical parameter data of the construction circuit synchronously collected by the data acquisition module; The current data is processed within a preset time window to construct a short-term current fluctuation index to characterize the degree of short-term random fluctuations in current. Perform spectral analysis on the current signal corresponding to the time window to calculate the harmonic distortion rate; A collaborative judgment and analysis is performed based on the aforementioned short-time current fluctuation index and harmonic distortion rate. When a risk of loose connection or poor contact is determined, the corresponding construction inspection results are output, and / or data processing operations related to fault location are performed.

[0077] In specific implementations, the computer program can be deployed as a standalone application in the construction testing terminal, or it can be integrated into the power distribution construction management system, the back-end analysis server, or the cloud platform in the form of a program module or function library, and receive data uploaded by the front-end acquisition device through wired or wireless communication.

[0078] Through the above-described modified embodiments, the method of the present invention can be implemented in the form of a computer program product or storage medium, thereby expanding the applicable forms and application scope of the technical solution of the present invention.

[0079] Example 4: Comparative Example with Existing Technology Comparative Implementation Method 1 employs existing construction testing methods to inspect the construction circuit. Specifically, this includes: conducting continuity tests after construction; using steady-state current and voltage thresholds for anomaly detection; not incorporating current fluctuation analysis within a time window; and not jointly determining harmonic distortion rate. This method is a commonly used testing scheme at current power distribution construction sites.

[0080] During the construction phase, the loop current is sampled at high frequency; short-time current fluctuation indicators are calculated within a preset time window. ;Simultaneously calculate the harmonic distortion rate (THD) within the corresponding time window;Only when When both THD and THD exceed the preset threshold, it is determined that there is a risk of loose connection or poor contact.

[0081] Experimental conditions: At the same power distribution construction site, the following three construction states are constructed: Table 1. Overview of Different Construction Statuses The same load conditions are maintained under all conditions, and testing is conducted during the construction phase.

[0082] III. Comparison of Test Results Table 2 Comparison of test results under different construction conditions In contrast to Implementation Method 1, since neither the steady-state current nor the voltage exceeds the threshold, neither State B nor State C is identified. In this embodiment of the specification, both State B and State C satisfy... and It was successfully identified.

[0083] Statistical identification results from multiple sets of construction samples: Table 3. Comparison of the technical effects of the present invention and the prior art As can be seen from the above comparative implementation methods, existing construction detection methods can only identify obvious broken wires or serious abnormalities during the construction phase, and are basically unable to identify loose connections and minor contact defects. The embodiments in this specification introduce a collaborative judgment mechanism of short-time current fluctuation characteristics and harmonic distortion rate, which can effectively identify hidden contact defects during the construction phase. Under the premise of ensuring that the false judgment rate does not increase significantly, the identification rate of hidden faults such as loose connections is significantly improved.

[0084] Those skilled in the art will understand that the accompanying drawings are merely schematic diagrams of one embodiment, and the modules or processes shown in the drawings are not necessarily essential for implementing the present invention.

[0085] Those skilled in the art will understand that the modules in the apparatus of the embodiments can be distributed in the apparatus of the embodiments as described in the embodiments, or they can be located in one or more devices different from this embodiment with corresponding changes. The modules of the above embodiments can be combined into one module, or they can be further divided into multiple sub-modules.

[0086] 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 them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A multi-parameter collaborative detection method for hidden faults during power distribution construction, characterized in that, Applied to the power distribution construction phase, it includes the following steps: S1. During the power distribution construction phase, the electrical parameters of the construction circuit are collected synchronously through a smart terminal. The electrical parameters include at least the current parameters of each phase. S2. Within a preset time window, the current parameters are processed, and a short-time current fluctuation index is constructed based on multiple current sampling points within the time window. This index is used to characterize the degree of random current fluctuation in the construction circuit over a short time scale. The short-time current fluctuation index is calculated as follows: ； Where I(k) is the current value at the k-th sampling point within the time window. This represents the average value of all instantaneous current values ​​within the time window ΔT; N is the number of sampling points within the time window. S3. Within the time period corresponding to the time window, perform spectral analysis on the current signal, extract the fundamental component and at least the second harmonic components, and calculate the corresponding harmonic distortion rate (THD). The THD is calculated as follows: ； in, This represents the amplitude of the fundamental component of the current signal. is the amplitude of the h-th harmonic component; H is the maximum harmonic order analyzed. S4. The short-time fluctuation index of the current The harmonic distortion rate (THD) is used for collaborative determination and analysis; the short-time fluctuation index of the current and the harmonic distortion rate are analyzed and processed collaboratively within the same time window scale. S5. Risk assessment of unauthorized connections based on dual thresholds: When the short-term current fluctuation index... Greater than the first preset threshold And the harmonic distortion rate (THD) is greater than the second preset threshold. If the circuit is faulty, it is determined that there is a hidden fault such as a loose connection or poor contact in the construction circuit; otherwise, the construction circuit is determined to be in normal construction condition.

2. The method according to claim 1, characterized in that, It also includes step S6: after determining that the hidden fault exists, the location of the hidden fault is located according to the distribution of the short-time current fluctuation index and harmonic distortion rate corresponding to different phases or different construction circuits, and the construction inspection results are output.

3. The method according to claim 1, characterized in that, The collaborative judgment analysis adopts a dual threshold constraint method. Only when the short-time fluctuation index of the current and the harmonic distortion rate both exceed the corresponding thresholds will a judgment result indicating the existence of a hidden fault be output.

4. The method according to claim 1, characterized in that, After determining the existence of the hidden fault, the method further includes: Based on the distribution of short-time current fluctuation indicators and harmonic distortion rates corresponding to different phases or different construction circuits, the location of hidden faults can be determined.

5. A multi-parameter collaborative detection system for hidden faults during power distribution construction, characterized in that, include: The data acquisition module is used to synchronously collect electrical parameters of the construction circuit during the power distribution construction phase; The time window analysis module is used to divide the collected current parameters into time windows; A current short-time fluctuation feature construction module is used to construct a current short-time fluctuation index within the time window; The harmonic analysis module is used to calculate the harmonic distortion rate corresponding to the time window; The collaborative judgment module is used to jointly judge the short-time current fluctuation index and the harmonic distortion rate, and output the hidden fault judgment result when both exceed the corresponding thresholds; and, The fault location and output module is used to determine the suspected location of a hidden fault and output the detection results based on the judgment results of different phases or different construction circuits after a hidden fault is detected.

6. The system according to claim 5, characterized in that, The data acquisition module uses a unified time base to synchronously acquire various electrical parameters.

7. The system according to claim 5, characterized in that, It also includes a fault location module, which is used to determine the suspected location of a hidden fault based on the judgment results of different phases or different construction circuits.

8. A smart terminal or computer-readable storage medium, characterized in that, The smart terminal includes a processor and a memory, and the storage medium stores a computer program. When the computer program is executed by the processor, it is used to implement the method of any one of claims 1 to 4.

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