Electric meter box internal fault detection method

Abstract

The invention relates to an electric power system fault detection technology, in particular to an electric meter box internal fault detection method, and aims to solve the problems that an operator is difficult to accurately identify a target cable in a multi-cable dense arrangement environment, so that a non-target object is mistakenly detected; the clamping process of cables of different specifications is obviously difficult, thin cables are easy to be mechanically damaged, and thick cables are easy to be loosened in clamping, so that the detection precision is influenced. According to the invention, by obtaining the identification information, adjusting the clamping state based on the physical parameters, synchronously obtaining the electric leakage and temperature parameters, and analyzing the fault state based on the linkage rule, the problems mentioned in the background technology that the target cable is inaccurate in identification, difficult to clamp, independent in parameter detection and frequent in false alarm are effectively solved; the method has the advantages that the target cable identification accuracy is improved, the self-adaptive adjustment of the clamping state is realized, false alarms are reduced through synchronous detection and linkage analysis, and the fault detection reliability and efficiency are improved.

Description

Technical Field

[0001] This application relates to power system fault detection technology, and more specifically, to a method for detecting faults inside an electric meter box. Background Technology

[0002] As a critical terminal device in the power system, the internal cables of meter boxes often pose safety hazards due to leakage or overheating during operation, affecting the overall reliability of power supply. Existing detection technologies face multiple challenges: in environments with densely packed cables, operators struggle to accurately identify target cables, leading to misdetection of non-target objects; the clamping process for cables of different specifications presents significant difficulties, with thin cables easily subject to mechanical damage and thick cables prone to loosening, thus affecting detection accuracy.

[0003] Meanwhile, leakage current and temperature parameters are typically detected independently. Environmental factors such as dust and moisture inside the meter box can easily cause temperature sensors to malfunction, and the lack of a correlation analysis mechanism between magnetic field changes and temperature changes leads to frequent false alarms. Furthermore, the detection process heavily relies on retrieving cable parameters from a pre-set database; when database information is missing, the system cannot adaptively adjust. Existing equipment has limited communication capabilities, resulting in insufficient data transmission stability in complex environments such as outdoors or basements, making connection interruptions likely.

[0004] For the needs of SMEs, traditional solutions are costly and time-consuming to develop, making rapid deployment difficult. Current technologies often focus on optimizing single aspects, such as improving the clamping structure or communication module, failing to build a complete collaborative system covering identification, clamping adjustment, parameter detection, and data transmission. They also have significant shortcomings, particularly in terms of resistance to metal interference, environmental adaptability, and system fault tolerance, thus failing to meet the comprehensive needs of practical applications.

[0005] To address the aforementioned issues, existing technologies urgently need improvement. Summary of the Invention

[0006] (a) Technical problems to be solved The purpose of this application is to provide a fault detection method for inside an electric meter box, which has the advantages of improving the accuracy of target cable identification, realizing adaptive adjustment of clamping state, reducing false alarms through synchronous detection and linkage analysis, and improving the reliability and efficiency of fault detection.

[0007] (II) Technical Solution This application provides a method for detecting internal faults in an electric meter box, the technical solution of which is as follows: The identification information of the target cable is obtained, and the identification information is read through the wireless identification tag set on the cable; Based on the identification information, the physical parameters corresponding to the target cable are obtained, and the clamping state of the detection device is adjusted according to the physical parameters so that the target cable reaches the predetermined detection position in the detection device. While in the clamping state, the leakage current and temperature parameters of the target cable are acquired simultaneously; Based on preset linkage judgment rules, leakage current parameters and temperature parameters are analyzed to identify the fault status of the target cable. Output the identification results of the fault status.

[0008] Furthermore, this application also proposes that obtaining the identification information of the target cable includes: The reader, integrated inside the jaws of the detection device, reads the unique ID information stored in the anti-metal RFID tag attached to the surface of the target cable. The unique ID information is associated with the cable's physical parameters and installation location information.

[0009] Furthermore, this application also proposes that adjusting the clamping state of the detection device according to physical parameters includes: When the physical parameters include the cable diameter, the clamping force applied to the target cable is automatically adjusted by the magnetic field generating unit according to the cable diameter, and the positioning mechanism is driven to move the target cable to the detection center position.

[0010] Furthermore, this application also proposes that adjusting the clamping state of the detection device according to physical parameters further includes: If the corresponding physical parameters cannot be obtained based on the identification information, the manual parameter selection command is received, and the clamping force is adjusted according to the selected parameters.

[0011] Furthermore, this application also proposes that adjusting the clamping state of the detection device further includes: When the detection environment is a scene with many dense cables, the control magnetic field generating unit switches to a high-frequency working mode to shield the interference of non-target cables.

[0012] Furthermore, this application also proposes that the simultaneous acquisition of leakage current parameters and temperature parameters of the target cable includes: The leakage current value is obtained by detecting changes in the magnetic field around the target cable through the magnetic field sensing unit in the detection device. The surface temperature value of the target cable is obtained by placing a flexible contact temperature sensing unit against the surface of the target cable. The leakage current value and the surface temperature value are obtained by the same data acquisition unit in a synchronous sampling manner.

[0013] Furthermore, this application also proposes that the analysis based on preset linkage determination rules includes: The leakage current parameter is compared with the first threshold, and the temperature parameter is compared with the ambient temperature. When the leakage current parameter is lower than the first threshold and the temperature parameter deviates from the ambient temperature for a preset duration beyond the second threshold, the current temperature anomaly is determined to be caused by environmental interference, and the temperature alarm is ignored. When the leakage current parameter exceeds the first threshold and the temperature parameter exceeds the third threshold, the target cable is determined to have a combined fault of leakage current and overheating.

[0014] Furthermore, this application also proposes that the identification results of the output fault state include: The data packet containing identification results, including identification information, leakage current parameters, temperature parameters, and fault status, is sent to the remote terminal via the wireless transmission module integrated in the detection device. The wireless transmission module can automatically switch between at least two communication modes based on signal strength to ensure the continuity of data transmission.

[0015] Furthermore, this application also proposes a fault detection device inside an electricity meter box, including a processor and a memory, wherein the memory stores a computer program, and when the computer program is executed by the processor, the above-described method is implemented.

[0016] Furthermore, this application also proposes a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the above-described method.

[0017] (III) Beneficial Effects Compared with the prior art, the beneficial effects of the present invention are as follows: This invention effectively solves the problems mentioned in the background technology, such as inaccurate target cable identification, difficult clamping, independent parameter detection, and frequent false alarms, by acquiring identification information, adjusting the clamping state based on physical parameters, synchronously acquiring leakage current and temperature parameters, and analyzing the fault state based on linkage rules. It has the advantages of improving the accuracy of target cable identification, realizing adaptive adjustment of clamping state, reducing false alarms through synchronous detection and linkage analysis, and improving the reliability and efficiency of fault detection. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art 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.

[0019] Figure 1 This is a schematic diagram of the overall logic structure of the fault detection method inside the meter box. Detailed Implementation

[0020] The technical solutions of this application will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are merely some embodiments of this application, and not all embodiments. The components of this application described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0021] It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, in the description of this application, terms such as "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0022] As a critical terminal device in the power system, the leakage and overheating faults of the internal cables in the meter box directly affect electrical safety. Existing detection technologies suffer from problems such as cable confusion and low centering accuracy, high false alarm rates in dual-parameter detection, and insufficient fault tolerance and compatibility. When multiple cables are densely arranged, it is easy to mistakenly detect non-target cables; cables of different diameters are difficult to center accurately, leading to leakage detection errors; leakage and temperature detection are independent, making them susceptible to environmental factors and false alarms; furthermore, they rely on a pre-set database, making them unsuitable for use without data, and data transmission distances are short and prone to disconnection. Existing solutions often address only one problem at a time, lacking a low-cost, end-to-end collaborative solution, and failing to address practical industry pain points such as resistance to metals, environmental resistance, and fault tolerance.

[0023] In this regard, such as Figure 1 As shown, this application proposes a method for detecting internal faults in an electricity meter box, comprising the following steps: S100: By acquiring the identification information of the target cable and obtaining physical parameters based on the identification information, the clamping state of the detection device is adjusted so that the target cable reaches the predetermined detection position. S200. While in the clamping state, simultaneously acquire the leakage current parameters and temperature parameters of the target cable; S300: Based on preset linkage judgment rules, analyze leakage current parameters and temperature parameters to identify the fault status of the target cable. S400, finally outputs the identification result of the fault status.

[0024] For ease of understanding, the following explains some key terms in this embodiment: Identification information refers to data used to uniquely identify a target cable, such as the cable's model, specifications, production batch, installation date, or its specific location within the meter box. Its purpose is to ensure accurate differentiation of the cable to be tested in a multi-cable environment.

[0025] A wireless identification tag is a physical carrier attached to the surface of a cable that can transmit identification information wirelessly. This tag typically includes a storage unit and a wireless communication module, enabling detection devices to read it without contact.

[0026] Physical parameters refer to data related to the physical characteristics of the target cable, such as cable diameter, material, rated current, and insulation type. These parameters form the basis for adjusting the testing device to suit different cables.

[0027] A detection device is a device used to perform cable fault detection tasks. It typically includes a mechanism for clamping the cable, sensors for collecting leakage current and temperature data, and electronic units for data processing and communication.

[0028] The clamping state refers to the mechanical fixing or positioning state applied to the target cable by the detection device. Adjusting this state aims to ensure that the cable is stably and accurately positioned within the sensor's detection area during the detection process.

[0029] The predetermined detection position refers to the ideal spatial position of the target cable relative to the detection sensor or measuring unit after it is clamped by the detection device. The accuracy of this position directly affects the precision and reliability of the detection data.

[0030] Leakage current parameters refer to data reflecting the insulation performance of a target cable, usually expressed as leakage current values. An abnormal increase in this parameter may indicate cable insulation damage or aging.

[0031] Temperature parameters refer to data reflecting the thermal state of the target cable, usually expressed as the cable surface temperature value. An abnormal increase in this parameter may indicate cable overload, poor contact, or the presence of localized hot spots.

[0032] Linkage judgment rules refer to a pre-defined set of logical conditions used to comprehensively analyze leakage current and temperature parameters to identify cable fault states. These rules aim to improve the accuracy of fault identification and reduce false alarms through multi-parameter collaborative judgment.

[0033] Fault status refers to the abnormal conditions existing in the target cable, such as leakage, overheating, a combination of leakage and overheating faults, or no fault.

[0034] This embodiment provides a method for detecting internal faults in an electricity meter box, specifically including the following steps: First, the identification information of the target cable is obtained. This identification information is read using a wireless identification tag attached to the cable. For example, a regular RFID tag can be affixed to the cable surface, storing information such as the cable's model and specifications. Inspectors can use a handheld RFID reader to bring it close to the target cable to read the identification information from the tag. Alternatively, a tag containing a QR code can be attached to the cable, and the identification information can be obtained by scanning the QR code using the optical scanning module integrated into the inspection device. Furthermore, NFC tags can be used, which can be read at close range via the NFC module of the inspection device.

[0035] Furthermore, based on the aforementioned identification information, the physical parameters corresponding to the target cable are obtained, and the clamping state of the detection device is adjusted according to these physical parameters to ensure the target cable reaches the predetermined detection position within the device. For example, the detection device retrieves the corresponding physical parameters, such as the cable diameter, from its internal database based on the read identification information. Then, the operator can manually adjust the clamping mechanism of the detection device according to the retrieved cable diameter, for example, by using a knob or lever to change the opening and closing degree of the jaws and the clamping force, so that the target cable is fixed in the center position of the detection device. As another implementation, the detection device can incorporate a simple mechanical transmission system. After obtaining the physical parameters, this system uses a stepper motor to drive the clamping arm for coarse opening and closing adjustments to accommodate cables of different diameters and to position them approximately within the detection area.

[0036] In the aforementioned clamping state, the leakage current and temperature parameters of the target cable are simultaneously acquired. For example, the detection device can integrate a current transformer to sense changes in the magnetic field around the target cable, thereby calculating the leakage current value as the leakage current parameter. Simultaneously, a non-contact infrared temperature sensor can be configured to obtain the surface temperature value of the cable by measuring the infrared radiation on its surface as the temperature parameter. These parameters can be acquired separately by two independent data acquisition modules and subsequently timestamped. Alternatively, the leakage current parameter can be acquired using a clamp-on ammeter, while the temperature parameter can be measured using a thermocouple sensor after contact with the cable surface. The data from these sensors can be processed by different microcontrollers and then transmitted to the main processor for integration via an internal bus.

[0037] Subsequently, based on preset linkage judgment rules, the aforementioned leakage current parameters and temperature parameters are analyzed to identify the fault state of the target cable. For example, a leakage current threshold and a temperature threshold can be set. When the leakage current parameter exceeds the leakage current threshold, the system determines that a leakage fault exists; when the temperature parameter exceeds the temperature threshold, the system determines that an overheating fault exists. If both exceed their respective thresholds, it is determined to be a combined leakage and overheating fault. This judgment rule can be a simple logic gate circuit or a piece of program code used to compare real-time parameters with preset fixed threshold values. As another implementation method, fuzzy logic rules based on expert experience can be used to output the possible fault types and their severity for the cable according to different combinations of leakage current parameters and temperature parameters.

[0038] The system outputs the identification results of the aforementioned fault status. These results can be displayed on the built-in LCD screen of the detection device for direct viewing by on-site operators. For example, the screen might display "Cable A: Overheating Fault" or "Cable B: Normal". Alternatively, the detection device can transmit detailed data, including identification information, leakage current parameters, temperature parameters, and fault status, to a connected laptop or data logger via a USB interface for subsequent data analysis and archiving. Furthermore, the identification results can also be sent to a nearby smartphone or tablet via a short-range wireless communication module, such as a basic Bluetooth module, although its transmission distance and stability may be limited.

[0039] This application effectively solves the problems of cable confusion and low centering accuracy inside meter boxes by acquiring cable identification information and adjusting the clamping state of the detection device accordingly, thus avoiding false detections and cable damage. Simultaneously, leakage current and temperature parameters are acquired and analyzed based on linkage judgment rules, significantly reducing the false judgment rate caused by traditional independent detection and improving the accuracy of fault identification. This method provides a more accurate, reliable, and adaptable solution for cable fault detection inside meter boxes, improving the level of electrical safety. While some of the solutions mentioned above in this application propose acquiring the identification information of the target cable to obtain physical parameters and adjust the detection process, in scenarios with densely packed multiple cables, it is easy to read the wrong cable labels, leading to confusion and false detections. Furthermore, when relying on a preset database, it may not be suitable for situations where there is no data.

[0040] In this regard, this application further proposes to obtain the identification information of the target cable by: reading the unique ID information stored in the anti-metal RFID tag attached to the surface of the target cable through a reader integrated inside the jaws of the detection device. The unique ID information is associated with the physical parameters and installation location information of the cable.

[0041] Specifically, the reader integrated inside the jaws of the detection device refers to a device for non-contact reading of wireless identification tag information, which communicates with the tag via radio frequency signals. This reader is cleverly embedded or fixed inside the jaws of the detection device, allowing the reader's antenna to maintain close contact or alignment with the tag on the cable surface when the jaws clamp the target cable. For example, the reader can employ a miniaturized ultra-high frequency (UHF) RFID reading module, integrated and fixed at a specific position inside the jaws via a flexible circuit board or micro PCB board to ensure directional reading during clamping. Alternatively, the reader can be a low-frequency (LF) or high-frequency (HF) RFID reader, characterized by a short reading distance but strong anti-interference capability, making it more suitable for precise close-range reading inside the jaws. Furthermore, it can be encapsulated with waterproof and dustproof materials to adapt to the complex environment inside the meter box.

[0042] The anti-metal RFID tag attached to the surface of the target cable is a radio frequency identification tag specifically designed to operate normally in metallic environments (such as inside an electrical meter box). It adds an anti-metal interference layer, for example, using ferrite materials, to a standard RFID tag to effectively isolate the metal from shielding and interfering with the radio frequency signal. The tag is securely fixed to the cable insulation surface using high-strength industrial adhesive, heat-shrink tubing, or a snap-fit ​​structure, ensuring it will not fall off or shift during detection. For example, anti-metal UHF RFID tags with ceramic or ferrite substrates can be used, offering excellent readability on metal surfaces; or anti-metal HF RFID tags encapsulated in high-temperature, corrosion-resistant engineering plastics can be used, with dimensions customized to the cable diameter to ensure a tight fit.

[0043] The unique ID information is a unique string of numbers or characters stored in the anti-metal RFID tag, serving as an electronic identification for the target cable. This ID information is written during tag production or cable installation, ensuring that each cable has a unique, unrepeatable identity. For example, the unique ID information can be a globally unique Electronic Product Code (EPC code), written to the tag by the manufacturer during production. Alternatively, it can be an internal management ID generated by combining coding rules such as cable batch, production date, and specifications, with its uniqueness guaranteed by a specific coding algorithm.

[0044] The unique ID information, associated with the cable's physical parameters and installation location information, acts as an index pointing to a database record storing detailed cable data. This detailed data includes the cable's physical parameters (such as diameter, material, rated current, cross-sectional area, etc.) and its specific installation location within the meter box, such as its row number, cable number, left / right side, etc. For example, the unique ID information can serve as the primary key in a backend management system or local storage database. Each record contains a unique ID along with corresponding physical parameters such as cable diameter, material, length, and rated current carrying capacity, as well as its specific installation location coordinates or description within the meter box. Furthermore, specific encoding rules can be used to embed key information within the ID; for example, the first few digits of the ID represent the cable type, the middle digits represent the diameter range, and a portion is reserved as a database index pointing to more detailed parameters and location information.

[0045] By integrating the reader into the jaws of the detection device using the above technical solution, it is possible to read the anti-metal RFID tags attached to the surface of the cable at close range and in a directional manner while clamping the target cable for detection. This design effectively avoids confusion and false detection problems caused by misreading tags of adjacent cables in scenarios with densely packed multiple cables. This is because the jaws physically enclose the target cable when clamping it, and the reader can only read the tags enclosed by the jaws, while the tags of other cables are blocked by the jaw housing and cannot enter the reader's reading range.

[0046] Meanwhile, the use of anti-metal RFID tags solves the problems of ordinary RFID tags being easily interfered with and having low reading success rates in metal environments such as meter boxes, ensuring reliable acquisition of identification information even in harsh environments. Furthermore, by associating cable physical parameters and installation location information with unique ID information, detailed cable data can be quickly and accurately obtained after reading the ID. This not only reduces the tediousness of manual searching and parameter input, improving detection efficiency, but also allows for comparison of the installation location information with the actual clamping position, providing a dual verification mechanism. This further reduces the risk of misjudgment due to incorrect tag reading, thus significantly improving the accuracy and reliability of fault detection inside the meter box.

[0047] In some of the solutions described above in this application, the clamping state of the detection device is adjusted according to physical parameters to make the target cable reach the predetermined detection position. However, in the process of implementation, due to the difference in cable diameter, improper clamping force is easily caused (such as the thin cable being crushed or the thick cable being loosely clamped), and the centering accuracy is low (the centering error is large), which affects the detection accuracy.

[0048] In this regard, this application further proposes that when the physical parameters include the cable diameter, the clamping force applied to the target cable is automatically adjusted by the magnetic field generating unit according to the cable diameter, and the positioning mechanism is driven to move the target cable to the detection center position.

[0049] Specifically, when the physical parameters include the cable diameter, it indicates that the system has successfully acquired the physical parameters of the target cable, including the cable diameter information, which is a prerequisite for subsequent adjustments. This diameter information can be obtained in various ways. For example, it can be obtained by reading the unique ID information stored in the anti-metal RFID tag attached to the surface of the target cable using a reader integrated inside the jaws of the detection device. This unique ID information is associated with the cable's physical parameters, including the cable diameter. Alternatively, the system can use this unique ID information to query a local or remote database to obtain the cable diameter data associated with that ID.

[0050] Based on the obtained cable diameter, the detection device will make corresponding adjustments. This cable diameter is the core basis for subsequent adjustments to the clamping force and positioning. The detection device can pre-store a calibration mapping table or lookup table to associate different cable diameters with corresponding magnetic field strengths and positioning parameters. Alternatively, the system can employ an algorithm model to dynamically calculate the required magnetic field strength and the amount of movement of the positioning mechanism based on the input cable diameter.

[0051] Furthermore, the clamping force applied to the target cable is automatically adjusted by a magnetic field generating unit. This magnetic field generating unit does not apply the clamping force directly in a non-contact manner, but rather drives the internal mechanical structure of the detection device through the action of a magnetic field, thereby achieving contact-type clamping force adjustment of the cable. Specifically, the magnetic field generating unit may include an electromagnet or coil assembly that outputs low-frequency magnetic fields of varying intensities according to changes in the cable diameter. This magnetic force acts on a magnetic component on a sliding rod inside the detection device, causing the sliding rod to move, thereby adjusting the tension of the tension spring or the length of the telescopic rod.

[0052] A suitable clamping force is applied through direct contact between the contact rod and the cable. For example, for thin cables, the magnetic field generating unit outputs a lower intensity magnetic field, generating a smaller clamping force to avoid damage; for thicker cables, it outputs a higher intensity magnetic field, generating a larger clamping force to ensure a secure clamping. Another implementation involves the magnetic field generating unit driving a voice coil motor (VCM), whose moving coil is connected to the clamping element. By precisely controlling the current flowing through the coil, the magnetic field interacts with the permanent magnet, generating a force that precisely adjusts the position of the clamping element, thereby adjusting the clamping pressure applied to the cable. Both methods achieve precise clamping force control based on the cable diameter.

[0053] This application also proposes a driving positioning mechanism to move the target cable to the detection center position. This positioning mechanism is closely linked to the clamping force adjustment mechanism to ensure the cable is precisely centered while being clamped. One implementation is that the positioning mechanism consists of two sets of symmetrically arranged slide bars, which move synchronously driven by a magnetic field generating unit (e.g., via the aforementioned electromagnet or voice coil motor). When the slide bars adjust the clamping force according to the cable diameter, they move symmetrically towards the center of the jaws, thereby automatically guiding and fixing the cable at the detection center position. For example, for a cable with a diameter of 4mm², the two slide bars will each move inward by 2mm to ensure the cable is precisely centered. Another implementation is that the positioning mechanism includes a V-groove or similar guide structure and is equipped with a small stepper motor or linear actuator. This actuator moves a movable V-block or a set of rollers according to the cable diameter information, precisely guiding the cable to the center of the detection area. Subsequently, the clamping force adjustment mechanism fixes the cable in this centered position.

[0054] Through the above technical solution, the detection device can automatically and precisely adjust the clamping force according to the actual diameter of the target cable, effectively avoiding damage to thin cables due to excessive clamping, while also ensuring that thick cables are firmly clamped and prevented from loosening. Simultaneously, the linkage between the positioning mechanism and the clamping force adjustment mechanism allows the cable to be precisely moved to the detection center position while being clamped, significantly improving the cable centering accuracy. This collaborative mechanism of automatic clamping force adjustment based on cable diameter and centering positioning lays a solid foundation for the subsequent synchronous acquisition of leakage current and temperature parameters, ensuring the accuracy and reliability of the detection data, thereby improving the accuracy of fault identification and reducing the false positive rate.

[0055] In some of the solutions mentioned above in this application, the clamping state is automatically adjusted according to physical parameters to ensure that the cable is centered during detection. However, in the process of implementation, when the corresponding physical parameters cannot be obtained based on the identification information, the automatic adjustment mechanism fails, resulting in the inability to adapt to different cables and affecting the accuracy and compatibility of detection.

[0056] In response, this application further proposes a method for detecting internal faults in an electric meter box, wherein adjusting the clamping state of the detection device further includes: if the corresponding physical parameters cannot be obtained based on the identification information, receiving a manually input parameter selection command and adjusting the clamping force according to the selected parameters.

[0057] Specifically, when the detection device cannot read or associate the physical parameters of the target cable via the wireless identification tag, the system will activate manual input mode. In this mode, the detection device will receive manually input parameter selection instructions. These instructions are not arbitrary but are typically based on standardized parameter options preset for common cable specifications found in the meter box, such as 1.5mm², 2.5mm², 4mm², 6mm², and 10mm². Users can select the specification matching the target cable from these preset options through the detection device's control panel, drop-down menu on the display screen, or physical buttons. For example, the detection device can be equipped with a touchscreen interface displaying a list of various cable diameter options, which the user can select by touch. Alternatively, the detection device can integrate physical buttons, each corresponding to a preset cable specification; the user can press the corresponding button to complete the parameter selection.

[0058] Upon receiving manually selected parameter instructions, the detection device adjusts the clamping force accordingly. This process reuses hardware modules from existing automatic adjustment mechanisms, such as the aforementioned magnetic field generating unit and positioning mechanism. The system converts manually input specifications into control signals identical to those in the automatic adjustment mode; for example, the user-selected "4mm²" specification is translated into specific magnetic field strength and positioning mechanism movement distance instructions. Subsequently, the magnetic field generating unit automatically adjusts the clamping force applied to the target cable based on these instructions, while simultaneously driving the positioning mechanism to precisely move the target cable to the detection center position. For example, when the user selects a 2.5mm² cable, the system invokes preset spring tension parameters and slide bar movement distance parameters to drive the magnetic field generating unit and positioning mechanism for precise adjustment.

[0059] Through the above technical solution, this application effectively solves the problem of insufficient fault tolerance and compatibility of the detection device when automatic parameter acquisition fails. When wireless identification tags are damaged, the database is missing, or new cable specifications prevent automatic acquisition of physical parameters, manually input parameter selection commands provide an efficient alternative, ensuring the continuity of the detection process. This standardized input method not only avoids user input errors but also, by reusing existing hardware such as the magnetic field generating unit and positioning mechanism, ensures that the clamping accuracy and centering effect in manual mode remain consistent with those in automatic mode. This significantly improves the adaptability of the detection device to various cables and greatly shortens the detection interruption time caused by parameter acquisition failure, thereby improving overall detection efficiency. At the same time, this solution lowers the operational threshold and provides an interface for subsequent iterative updates of the database through user manual data input, achieving a combination of short-term fault tolerance and long-term data optimization.

[0060] In some of the embodiments described above in this application, the clamping state of the detection device is adjusted to automatically or manually adjust the clamping force and positioning mechanism based on physical parameters to ensure that the target cable is correctly clamped and centered. However, in its implementation, when the detection environment is a scene with many dense cables, there is a problem that electromagnetic interference from non-target cables cannot be shielded, resulting in reduced detection accuracy and increased risk of false detection.

[0061] In response, this application further proposes that when the detection environment is a scene with many dense cables, the magnetic field generating unit be controlled to switch to a high-frequency working mode to shield the interference of non-target cables.

[0062] Specifically, the "detection environment being a densely packed multi-cable scenario" refers to a situation where multiple cables are closely arranged within the detection area, such as the cable layout inside an electrical meter box, making it difficult to detect the target cable independently. This scenario can be identified in several ways. For example, the detection device can integrate an image recognition module or multiple proximity sensors to analyze image information or sensor data to determine the cable density and spacing. When the number or density of detected cables exceeds a preset threshold, it is determined to be a densely packed multi-cable scenario. Alternatively, manual input from the operator can be received through a user interface, allowing the operator to select whether the current detection environment is a densely packed multi-cable scenario based on actual observation, thereby triggering the corresponding detection mode.

[0063] The phrase "controlling the magnetic field generating unit to switch to a high-frequency operating mode" refers to adjusting the operating frequency of the magnetic field generating unit to a range significantly higher than the conventional operating frequency, such as 1MHz to 5MHz. The magnetic field generating unit typically includes a high-frequency oscillation circuit and an electromagnetic coil. When switching to a high-frequency operating mode is required, the processor of the detection device sends a control command to the oscillation circuit, causing it to output high-frequency alternating current to the electromagnetic coil, thereby generating a corresponding high-frequency alternating magnetic field.

[0064] Another implementation is that the magnetic field generating unit can be configured with two or more independent drive circuits, each corresponding to a different operating frequency. In scenarios with dense cabling, the processor will select and activate the drive circuit specifically for the high-frequency mode to ensure that the magnetic field generating unit operates at the required high frequency.

[0065] The phrase "shielding interference from non-target cables" refers to effectively suppressing or eliminating electromagnetic influences from non-target cables by utilizing the characteristics of high-frequency operating modes, thus ensuring detection accuracy. This is primarily based on the frequency selectivity principle of electromagnetic induction and the penetration depth characteristics of high-frequency magnetic fields. On one hand, the current in non-target cables typically generates low-frequency alternating magnetic fields (e.g., below 500kHz), while the magnetic field generating unit, after switching to high-frequency operating mode, generates a magnetic field frequency far higher than the interference frequency of the non-target cables. The magnetic field sensing unit inside the detection device is designed to have higher response sensitivity to high-frequency magnetic fields, thereby effectively distinguishing and filtering out low-frequency interference signals. On the other hand, the penetration depth of high-frequency magnetic fields is relatively shallow, meaning its effective range is more limited to the area around the clamped target cable, making it difficult to penetrate and affect adjacent non-target cables, thus further reducing the superposition of interference in physical space.

[0066] Through the above technical solution, when the detection device identifies a scene with densely packed multiple cables, it can intelligently switch the magnetic field generating unit to a high-frequency operating mode. This high-frequency magnetic field can not only drive the positioning mechanism to accurately clamp the target cable, but more importantly, it effectively shields low-frequency electromagnetic interference generated by non-target cables by utilizing the principles of frequency selectivity and shallow penetration depth.

[0067] This avoids clamping and positioning deviations and leakage detection errors caused by interference in multi-cable environments, ensuring that the detection device can accurately measure the target cable. Compared to traditional physical isolation or post-data filtering methods, the solution proposed in this application achieves real-time, contactless interference shielding without requiring modifications to the internal wiring of the meter box, significantly improving the convenience and efficiency of detection. Simultaneously, by reusing the magnetic field generating unit to switch between different operating modes, hardware costs and complexity are reduced, enabling the detection device to maintain high accuracy and reliability in various scenarios. This effectively solves the problems of reduced detection accuracy and increased risk of false detection in densely packed multi-cable environments.

[0068] In some of the solutions mentioned above in this application, the leakage current parameters and temperature parameters of the target cable are acquired simultaneously to identify the fault status. However, in this process, due to the possibility that the parameter acquisition may be asynchronous or that independent units are used, the detection results are greatly affected by environmental interference, resulting in a high misjudgment rate and an inability to effectively correct false alarms caused by factors such as dust and humidity.

[0069] In this regard, this application further proposes to simultaneously acquire the leakage current parameters and temperature parameters of the target cable, including: detecting the change in the magnetic field around the target cable through the magnetic field sensing unit in the detection device to obtain the leakage current value; and obtaining the surface temperature value of the target cable by contacting the surface of the target cable with the elastic contact temperature sensing unit; wherein the leakage current value and the surface temperature value are acquired by the same data acquisition unit in a synchronous sampling manner.

[0070] Specifically, the magnetic field changes around the target cable are detected by the magnetic field sensing unit in the detection device to obtain the leakage current value. The magnetic field sensing unit is a sensor capable of detecting magnetic field strength or changes. Its function is to capture the weak leakage electromagnetic field generated by insulation damage or current imbalance in the target cable, convert it into a quantifiable electrical signal, and then calculate the leakage current value. For example, a Hall effect sensor array can be used to measure the magnetic field strength at different points around the cable and combine it with a differential algorithm to accurately identify the leakage electromagnetic field; alternatively, a highly sensitive fluxgate sensor can be used, which can detect extremely weak magnetic field changes, thereby achieving accurate measurement of small-current leakage.

[0071] Simultaneously, a flexible contact temperature sensing unit is placed against the surface of the target cable to obtain its surface temperature value. The flexible contact temperature sensing unit is a temperature sensor with a deformable or expandable mechanism. Its core function is to ensure that the sensor probe can fit tightly and stably against the surface of the target cable, thereby accurately measuring the actual temperature of the cable and avoiding measurement errors caused by poor contact or air gaps. For example, this sensing unit can use a platinum resistance temperature sensor (RTD) with a built-in spring. When it abuts against the cable surface, the spring provides continuous pressure, maintaining good thermal contact between the sensor probe and the cable surface. Alternatively, a flexible thermistor probe can be used, encapsulated in a material with a certain degree of elasticity, capable of slight deformation according to the curvature and diameter of the cable to achieve complete surface adhesion.

[0072] Furthermore, the leakage current value and the surface temperature value are acquired synchronously by the same data acquisition unit. The same data acquisition unit refers to an integrated hardware module responsible for receiving analog or digital signals from multiple sensors and converting them into processable data.

[0073] Synchronous sampling refers to the ability of the data acquisition unit to acquire data from different sensors simultaneously or within a very short time difference at preset, precise time intervals. For example, the data acquisition unit could be a multi-channel analog-to-digital converter (ADC) with all channels sharing a single clock signal to ensure that the analog-to-digital conversion of leakage current and temperature signals is completed within the same clock cycle; or it could be a high-speed microcontroller whose multiple built-in ADC modules are programmed to initiate sampling under the same interrupt or timer trigger, thereby ensuring a high degree of temporal consistency between the two parameters.

[0074] Through the above technical solution, the magnetic field sensing unit and the flexible contact temperature sensing unit work together to obtain the leakage current value and surface temperature value, respectively. The magnetic field sensing unit can accurately capture the leakage electromagnetic field of the target cable, while the flexible contact temperature sensing unit ensures the accuracy and stability of temperature measurement, effectively avoiding the problem of traditional non-contact temperature measurement being easily interfered with by environmental factors such as dust and humidity.

[0075] More importantly, by acquiring these two key parameters synchronously through the same data acquisition unit, the data mismatch caused by time differences is eliminated, ensuring a high degree of consistency between leakage current and temperature parameters over time. This synchronous and high-precision dual-parameter acquisition mechanism provides a reliable and accurate data foundation for subsequent fault identification based on linkage judgment rules, significantly reducing the misjudgment rate caused by asynchronous or inaccurate parameter acquisition, thereby improving the accuracy and reliability of fault detection inside the meter box.

[0076] In some of the solutions mentioned above in this application, a method based on preset linkage judgment rules is proposed to analyze and identify fault states. However, in this process, due to the lack of a specific linkage correction mechanism, environmental interference (such as dust and humidity) can easily lead to false alarms in temperature parameters.

[0077] In response, this application further proposes an analysis based on a preset linkage judgment rule, specifically including: comparing the leakage current parameter with a first threshold and comparing the temperature parameter with the ambient temperature; when the leakage current parameter is lower than the first threshold and the deviation between the temperature parameter and the ambient temperature continues to exceed a second threshold for a preset time, it is determined that the current temperature abnormality is caused by environmental interference, and the temperature alarm is ignored; when the leakage current parameter exceeds the first threshold and the temperature parameter exceeds a third threshold, it is determined that the target cable has a combined fault of leakage current and overheating.

[0078] The leakage current parameter refers to the leakage current value obtained by detecting the change in the magnetic field around the target cable through the magnetic field sensing unit in the detection device.

[0079] This parameter reflects the integrity of the cable insulation and is a key indicator for assessing cable safety. It can be obtained by using magnetic field sensing elements such as Hall effect sensors or current transformers to convert the sensed magnetic field signal into an electrical signal, which is then processed to obtain the leakage current value. The first threshold is a reference value used to determine whether the leakage parameter is abnormal. This threshold can be dynamically set according to the specifications of the target cable (e.g., cable diameter, current carrying capacity, etc.). For example, the maximum allowable leakage current value differs for cables of different diameters; therefore, the first threshold can be dynamically adjusted according to the cable diameter to improve the accuracy of the determination.

[0080] Furthermore, the first threshold can also be preset to a fixed value, such as a uniform upper limit for leakage current set according to industry standards or empirical values. Comparing the leakage parameter with the first threshold aims to determine whether the current leakage parameter exceeds the safe range. This can be achieved through logical judgment executed by the processor; for example, comparing the real-time acquired leakage parameter with the stored first threshold. If the leakage parameter is greater than or equal to the first threshold, then a leakage risk is considered to exist.

[0081] The temperature parameter refers to the surface temperature value obtained by contacting the target cable surface with an elastic contact temperature sensing unit. This parameter directly reflects the cable's operating thermal state and is an important basis for assessing the cable's overheating risk. It can be obtained by directly or non-contactly measuring the cable surface temperature using a thermistor, thermocouple, or infrared temperature sensor. The ambient temperature refers to the real-time ambient temperature inside the meter box. This parameter is used to compare with the cable temperature parameter to distinguish between temperature increases caused by the cable's own heating and those caused by environmental factors. The ambient temperature can be obtained through a miniature ambient temperature sensor integrated into the outer shell of the detection device, ensuring that ambient temperature data and cable temperature data are collected synchronously in the same space, thereby improving the accuracy of the comparison.

[0082] Another approach is to preset an ambient temperature based on historical data or averages as a reference, but this method may not accurately reflect real-time environmental changes. Comparing the temperature parameter with the ambient temperature aims to assess whether the abnormal cable temperature is caused by its own heat generation, rather than simply by fluctuations in ambient temperature. This can be achieved by calculating the deviation between the cable temperature parameter and the ambient temperature.

[0083] The second threshold is a reference value used to determine whether the deviation between the cable temperature and the ambient temperature is abnormal. This threshold is usually set to a fixed value, such as 5°C, indicating that the cable temperature exceeds the allowable range of the ambient temperature. The preset duration refers to the length of time required for the temperature deviation to continuously exceed the second threshold. This duration is used to filter out instantaneous temperature fluctuations and avoid misjudgments caused by brief environmental changes (such as airflow caused by opening the meter box door). The preset duration can be fine-tuned according to the detection scenario; for example, it can be appropriately extended in a humid environment to avoid misjudgments caused by temperature fluctuations due to humidity.

[0084] When the leakage current parameter is lower than the first threshold, and the deviation between the temperature parameter and the ambient temperature continues to exceed the second threshold for a preset duration, the system determines that this temperature anomaly is not caused by a cable fault, but by environmental factors (such as dust accumulation or humidity condensation), and therefore does not trigger an alarm. This effectively avoids false alarms caused by non-fault factors. The third threshold is a reference value used to determine whether the cable temperature parameter has reached an overheated state.

[0085] Similar to the first threshold, the third threshold can also be dynamically adjusted based on the specifications of the target cable (e.g., cable diameter, insulation material, etc.). For example, thinner cables have thinner insulation layers, and their overheating risk threshold can be set lower. Alternatively, the third threshold can be preset to a fixed value, such as setting a uniform upper limit for overheating temperature based on the temperature resistance rating of the insulation material. When the leakage current parameter exceeds the first threshold and the temperature parameter exceeds the third threshold, the system determines that the target cable has both leakage and overheating faults simultaneously. This typically means that the cable insulation layer may be severely damaged, classifying it as a high-risk fault.

[0086] Through the above technical solution, this application can effectively solve the problem of false temperature parameter alarms caused by environmental interference, and significantly reduce the false alarm rate. Specifically, by comparing the leakage current parameter with a first threshold and simultaneously comparing the cable temperature parameter with the real-time ambient temperature inside the meter box, the true operating status of the cable can be more accurately assessed. When the leakage current parameter is within the normal range, but the temperature deviation continues to exceed the preset threshold for a certain period of time, the system can intelligently identify that this temperature anomaly is caused by environmental factors (such as dust and humidity) rather than a cable fault, thereby avoiding unnecessary alarms.

[0087] Meanwhile, when both leakage current and temperature parameters exceed their respective thresholds, the system can accurately determine a combined fault of leakage current and overheating in the cable, providing maintenance personnel with clear and reliable fault indications. This judgment mechanism, based on parameter linkage, dynamic threshold adjustment, and environmental interference elimination, overcomes the limitations of traditional independent detection, improves the accuracy and reliability of fault identification, and is particularly effective in adapting to multi-specification cables and complex environments. It can effectively distinguish between instantaneous fluctuations and continuous interference, providing a more accurate and intelligent solution for fault detection of cables inside meter boxes.

[0088] In some of the solutions described above in this application, the identification results of the fault status are proposed to report the detection results. However, in this process, data transmission is easily interrupted in the environment of weak signal, resulting in the results not being reliably delivered to the remote terminal.

[0089] In this regard, this application further proposes that the output of the fault status identification result includes: sending a data packet containing the identification information, the leakage current parameter, the temperature parameter and the fault status identification result to a remote terminal through a wireless transmission module integrated in the detection device; wherein, the wireless transmission module can automatically switch between at least two communication modes according to the signal strength to ensure the continuity of data transmission.

[0090] Specifically, the wireless transmission module integrated in the detection device functions to convert various data acquired within the detection device into radio signals and transmit them, while also receiving instructions from a remote terminal. This module can be a standalone communication chip or module, integrating components such as a radio frequency transceiver, baseband processor, and antenna. For example, the module can employ a dual-mode combination of Bluetooth (Bluetooth Low Energy, BLE) and LoRa (Long Range), where Bluetooth is suitable for short-range, high-bandwidth data transmission, while LoRa is suitable for long-range, low-power, and interference-resistant scenarios. The data packet is a structured data unit used to encapsulate the information to be transmitted, containing the identification information, leakage current parameters, temperature parameters, and the fault status identification result. The data packet can employ a lightweight frame structure design, keeping the data packet size within a small range, such as less than or equal to 512 bytes, to shorten the single transmission time and reduce the probability of transmission interruption in weak signal environments.

[0091] Furthermore, the data packet can also include a built-in Cyclic Redundancy Check (CRC) bit to verify data integrity upon arrival at the remote terminal. If data loss or corruption is detected, the remote terminal can send a retransmission command to the detection device, avoiding misjudgments due to data loss. Sending to the remote terminal refers to wirelessly transmitting the encapsulated data to a remote receiving device, such as a smartphone, tablet, server, or monitoring center. The remote terminal can be a mobile device running a specific application, receiving data directly via Bluetooth; or it can be a cloud server connected to a LoRa gateway, receiving data through the LoRa network to achieve broader monitoring and data management.

[0092] The wireless transmission module can automatically switch between at least two communication modes based on signal strength. This means that the module has the ability to monitor the signal quality of the current communication environment in real time and select and switch between different communication technologies according to a preset strategy to optimize transmission performance and reliability. For example, when the detection device is in Bluetooth communication mode, it will continuously monitor the Bluetooth signal strength. When the Bluetooth signal strength is lower than a preset threshold (e.g., -80dBm) or multiple transmission failures occur consecutively, the system will automatically trigger a switch to LoRa mode.

[0093] Conversely, when the LoRa signal strength weakens or the Bluetooth signal strength recovers to a good level, it can switch back to Bluetooth mode. This switching logic is not based solely on signal strength, but combines both signal strength and transmission status to ensure accurate switching. During the switching process, a breakpoint resumption mechanism can be used, that is, only the data segments that were not successfully transmitted are retransmitted, rather than the entire data packet, thereby significantly reducing the transmission time after the switch and improving transmission efficiency. Through the above automatic switching mechanism, the continuity of data transmission can be ensured, that is, no matter how complex the wireless environment, the data stream can be guaranteed to be uninterrupted, and information can be continuously and stably transmitted from the detection device to the remote terminal.

[0094] Through the above technical solution, this application effectively solves the problem that data transmission is easily interrupted in weak signal environments during fault detection inside the meter box, resulting in the inability to reliably deliver fault identification results to the remote terminal. Specifically, by integrating a wireless transmission module into the detection device, dependence on external devices is avoided, improving the portability and compatibility of the device. This module can send a complete data packet containing identification information, leakage current parameters, temperature parameters, and fault status identification results to the remote terminal, enabling the remote terminal to comprehensively analyze the fault and avoid misjudgments due to missing data.

[0095] Most importantly, the wireless transmission module can automatically switch between at least two communication modes based on signal strength, such as intelligently selecting between Bluetooth and LoRa modes. This dual-mode communication strategy combines the high-speed transmission advantages of Bluetooth in short-range, high-signal scenarios with the stable transmission capabilities of LoRa in long-range, weak-signal, and interference-resistant scenarios. This allows the detection device to adapt to various complex environments where the meter box is located, such as basements, outdoors, or areas with walls obstructing the view, thereby overcoming the shortcomings of short data transmission distance and easy disconnection in traditional single-mode communication.

[0096] Furthermore, by employing a lightweight data packet design and a built-in CRC checksum, the success rate and integrity of data transmission are further improved, ensuring reliable data packet delivery even during signal fluctuations or mode switching. This combination of intelligent switching and breakpoint resumption mechanism eliminates the need for manual intervention, significantly enhancing the reliability and efficiency of data transmission, ensuring the timely and accurate transmission of fault identification results, and thus improving the overall effectiveness of fault detection within the meter box.

[0097] Example 2 In some of the solutions mentioned above in this application, a fault detection method for the inside of the meter box is proposed to accurately identify cable faults. However, when this method is applied to actual equipment, existing detection devices suffer from high R&D costs, unstable data transmission, and poor compatibility, making it difficult for small and medium-sized enterprises to quickly deploy and adapt to different environments.

[0098] In response, this application proposes a fault detection device inside an electricity meter box, including a processor and a memory. The memory stores a computer program, which, when executed by the processor, implements the method described above.

[0099] Specifically, the processor is the core computing unit of the device, responsible for executing instructions and processing data. It can take various forms, such as a microcontroller (MCU), which integrates a CPU, memory, and peripheral interfaces, suitable for embedded systems, and capable of efficiently processing real-time data and control tasks; or a digital signal processor (DSP), which excels at high-speed digital signal processing and is suitable for complex signal analysis of leakage current and temperature parameters.

[0100] The processor provides the necessary computing power to execute the complex algorithms and control logic involved in the aforementioned detection method. The memory is used to store the computer program and various types of data generated during program execution. The memory may include non-volatile memory, such as flash memory, for long-term storage of the computer program and configuration parameters, ensuring that the device retains its functional logic even after power failure; it may also include volatile memory, such as random access memory (RAM), for providing high-speed data access space during program execution to support real-time data acquisition and processing.

[0101] The memory ensures that the instruction set and related data of the detection method can be reliably stored and accessed. The computer program is a set of instructions for implementing the fault detection method inside the meter box. This program can be pre-burned into the memory as firmware to enable the device to start automatically and perform core functions; or it can be updatable embedded software, allowing for remote upgrades to add new functions or fix defects, thereby improving the device's lifespan and adaptability. The computer program transforms complex detection logic and steps into executable instructions, which is key to achieving automated detection. When the computer program is executed by the processor, the method described above is implemented. This technical feature describes the working mechanism of the device, which uses software to drive hardware to complete the detection task. Specifically, the processor schedules resources, controls peripherals, and performs calculations according to the preset logical sequence in the computer program, thereby completing a series of steps such as acquiring target cable identification information, adjusting physical parameters, synchronously acquiring leakage current and temperature parameters, analyzing fault status, and outputting fault status identification results. This software-defined approach allows the device to flexibly adapt to different detection scenarios and cable specifications without requiring the design of dedicated hardware circuits for each situation.

[0102] By providing a fault detection device for inside an electric meter box, the core of which lies in executing a computer program through a processor and memory to implement the aforementioned detection method, this application effectively solves the problems of high R&D costs, unstable data transmission, and poor compatibility in the implementation of existing detection devices. Specifically, this device utilizes a general-purpose processor and memory as its hardware foundation, and implements complex detection logic through software programming, significantly reducing reliance on dedicated hardware and R&D investment, enabling small and medium-sized enterprises to deploy quickly at a lower cost. Furthermore, by dynamically executing the detection method through software, the device can flexibly adapt to different cable specifications and detection conditions, improving compatibility and avoiding the problem of existing equipment failing to work effectively in complex environments.

[0103] Especially when combined with the wireless transmission module's ability to automatically switch communication modes based on signal strength, as described above, the device achieves continuous and stable data transmission through software control, further enhancing reliability in environments with poor signal conditions, such as outdoors or basements. Overall, this hardware-software integrated approach not only reduces equipment costs and deployment complexity but also significantly improves the adaptability and reliability of the detection device, thereby promoting the widespread application of fault detection technology within meter boxes.

[0104] In some of the solutions mentioned above in this application, a method for detecting internal faults in electric meter boxes through a detection device was proposed to improve detection accuracy and efficiency. However, in this process, the reliance on dedicated hardware equipment leads to high R&D costs and long cycles, making it difficult for small and medium-sized enterprises to adapt, and also making it difficult to update and maintain.

[0105] Example 3 In response, this application further proposes a technical solution for implementing the aforementioned fault detection method inside an electricity meter box using a computer-readable storage medium. Specifically, the storage medium stores a computer program, which, when executed by the processor, implements the aforementioned method.

[0106] The storage medium refers to a physical carrier capable of recording and storing digital information (such as computer programs, data, etc.). This storage medium can be non-volatile, such as read-only memory (ROM), flash memory, solid-state drive (SSD), hard disk drive (HDD), or optical disc (CD-ROM, DVD-ROM), which retain the stored computer program even after power loss. Furthermore, the storage medium can also be programmable, such as erasable programmable read-only memory (EEPROM) or flash memory, allowing the program to be updated and modified, thereby enabling method iteration and optimization. By storing the computer program on the storage medium, the fault detection method inside the meter box can be persistently stored in software form, facilitating distribution, installation, and deployment, and reducing dependence on specific hardware.

[0107] The method is implemented when the computer program is executed by a processor, where the processor is the core computing unit of the computer system, responsible for interpreting and executing the instructions in the computer program. When the computer program is executed by the processor, it means that the processor processes data according to the preset logical order in the program, thereby completing a specific function. The processor can be a general-purpose central processing unit (CPU), such as a microcontroller, embedded processor, or the CPU of a general-purpose computer. These processors have strong versatility and flexibility, and can execute various complex instruction sets. Alternatively, the processor can also be a dedicated processor optimized for specific tasks, such as a digital signal processor (DSP) or a field-programmable gate array (FPGA), which may have higher efficiency when processing specific types of computing tasks. In this way, the above-mentioned fault detection method inside the meter box can run on a general-purpose computing platform through software logic, without the need for customized expensive dedicated hardware, thereby improving the compatibility, updability, and economy of the solution.

[0108] By storing the above-mentioned fault detection method inside the meter box in the form of a computer program in a storage medium and executing it with a processor, this application effectively solves the problems of traditional methods, such as strong dependence on dedicated hardware equipment, high R&D costs, long cycles, and difficulty in updating and maintaining.

[0109] Specifically, this software implementation allows the above methods to be flexibly deployed on various general-purpose computing platforms, lowering the barriers to adaptation and deployment for small and medium-sized enterprises. When optimization or functional expansion of the detection logic is required, only the computer program needs to be updated, without replacing hardware, greatly improving the maintainability and upgradeability of the system. Furthermore, software implementation fully utilizes the performance of existing computing resources, significantly reducing the overall solution cost while ensuring detection accuracy and efficiency, thus better meeting the market demand for "low investment and rapid deployment."

[0110] The following example will provide a more detailed explanation of the above technical solution: At an electrical facility at location A, user A uses a fault detection device inside a meter box to perform a routine inspection of the cables inside the meter box. The cables inside the meter box are densely packed and include various diameters.

[0111] First, User A brings the jaws of the detection device close to the target cable. A reader integrated inside the jaws automatically reads the unique ID information stored on the anti-metal RFID tag attached to the surface of the target cable. This unique ID information is associated with the cable's physical parameters, such as its diameter, and its installation location. In this way, the detection device accurately obtains the identification information of the target cable, avoiding the problem of misdetecting non-target cables in densely packed cable environments.

[0112] Next, based on the obtained unique ID information, the detection device retrieves the physical parameters corresponding to the target cable from the internal database or remote server, such as its precise cable diameter. According to this cable diameter, the magnetic field generating unit inside the detection device automatically adjusts the clamping force applied to the target cable, ensuring that the clamping is neither too tight to damage thin cables nor too loose to cause unstable detection of thick cables. At the same time, the driving positioning mechanism accurately moves the target cable to the detection center position of the detection device, enabling the cable to reach the predetermined detection position in the detection device. When the detection environment is a multi-cable dense scenario, the magnetic field generating unit automatically switches to the high-frequency operating mode to effectively shield the magnetic field interference generated by surrounding non-target cables, further improving the accuracy of detection. If the corresponding physical parameters cannot be obtained based on the identification information due to special circumstances, the detection device will prompt User A to input manually. User A can select parameters and adjust the clamping force according to the actual situation, enhancing the fault tolerance and compatibility of the system.

[0113] After the target cable is precisely clamped and positioned, the detection device synchronously obtains its leakage parameters and temperature parameters. Specifically, the magnetic field induction unit in the detection device continuously detects the magnetic field changes around the target cable to obtain an accurate leakage current value. At the same time, the elastic contact type temperature sensing unit abuts against the surface of the target cable to obtain its surface temperature value. The leakage current value and the surface temperature value are obtained by the same data acquisition unit in a synchronous sampling manner, ensuring a high degree of temporal consistency between the two parameters and providing a reliable data basis for subsequent joint analysis.

[0114] The detection device analyzes the synchronously obtained leakage parameters and temperature parameters based on preset joint determination rules. For example, the system compares the leakage parameters with a preset first threshold and compares the temperature parameters with the current ambient temperature. In one scenario, if the leakage parameters are lower than the first threshold, but the deviation between the temperature parameters and the ambient temperature continuously exceeds a second threshold and reaches a preset duration, the system will determine that the current temperature anomaly is caused by environmental interference such as dust or humidity inside the meter box and ignore the temperature alarm, effectively avoiding false alarms caused by environmental factors in the traditional independent detection method.

[0115] In another scenario, if the leakage parameters exceed the first threshold and the temperature parameters also exceed a third threshold, the system will determine that there is a composite fault of leakage and overheating in the target cable, indicating that there may be problems such as insulation aging or loose connections in the cable. This joint determination mechanism significantly reduces the misjudgment rate and improves the accuracy of fault identification.

[0116] The detection device outputs the fault status identification results. The wireless transmission module integrated into the detection device sends a data packet containing the target cable's identification information, leakage current parameters, temperature parameters, and fault status identification results to a remote terminal, such as User A's tablet or a central monitoring system. This wireless transmission module can automatically switch between at least two communication modes (e.g., Bluetooth and Wi-Fi) based on signal strength to ensure continuous data transmission even in environments with poor signal, such as basements or remote areas, solving the problems of short data transmission distances and frequent disconnections associated with traditional equipment. Through this end-to-end collaborative detection method, User A can efficiently and accurately identify potential faults in the cables inside the meter box, ensuring the safe operation of the power system.

[0117] The above description is merely an embodiment of this application and is not intended to limit the scope of protection of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. A method for detecting internal faults in an electricity meter box, characterized in that, Includes the following steps: The identification information of the target cable is obtained, and the identification information is read by a wireless identification tag set on the cable; Based on the identification information, the physical parameters corresponding to the target cable are obtained, and the clamping state of the detection device is adjusted according to the physical parameters so that the target cable reaches the predetermined detection position in the detection device. In the clamping state, the leakage current parameters and temperature parameters of the target cable are acquired simultaneously; Based on preset linkage judgment rules, the leakage current parameters and temperature parameters are analyzed to identify the fault status of the target cable. Output the identification result of the fault state.

2. The method for detecting internal faults in an electric meter box according to claim 1, characterized in that, The identification information of the target cable obtained includes: The unique ID information stored in the anti-metal RFID tag attached to the surface of the target cable is read by a reader integrated inside the jaws of the detection device. The unique ID information is associated with the physical parameters and installation location information of the cable.

3. The method for detecting internal faults in an electric meter box according to claim 1, characterized in that, The step of adjusting the clamping state of the detection device according to the physical parameters includes: When the physical parameters include the cable diameter, the clamping force applied to the target cable is automatically adjusted by the magnetic field generating unit according to the cable diameter, and the positioning mechanism is driven to move the target cable to the detection center position.

4. The method for detecting internal faults in an electric meter box according to claim 3, characterized in that, The step of adjusting the clamping state of the detection device according to the physical parameters further includes: If the corresponding physical parameters cannot be obtained based on the identification information, a manually input parameter selection command is received, and the clamping force is adjusted according to the selected parameters.

5. The method for detecting internal faults in an electric meter box according to claim 3 or 4, characterized in that, The adjustment of the clamping state of the detection device also includes: When the detection environment is a scene with many dense cables, the magnetic field generating unit is controlled to switch to a high-frequency working mode to shield the interference of non-target cables.

6. The method for detecting internal faults in an electric meter box according to claim 1, characterized in that, The synchronous acquisition of the leakage current parameters and temperature parameters of the target cable includes: The magnetic field change around the target cable is detected by the magnetic field sensing unit in the detection device to obtain the leakage current value; The surface temperature value of the target cable is obtained by contacting the surface of the target cable with an elastic contact temperature sensing unit. The leakage current value and the surface temperature value are obtained by the same data acquisition unit in a synchronous sampling manner.

7. The method for detecting internal faults in an electric meter box according to claim 1, characterized in that, The analysis based on the preset linkage determination rules includes: The leakage current parameter is compared with a first threshold, and the temperature parameter is compared with the ambient temperature; When the leakage current parameter is lower than the first threshold, and the deviation between the temperature parameter and the ambient temperature continues to exceed the second threshold for a preset time, the current temperature abnormality is determined to be caused by environmental interference, and the temperature alarm is ignored. When the leakage current parameter exceeds the first threshold and the temperature parameter exceeds the third threshold, it is determined that the target cable has a combined fault of leakage current and overheating.

8. The method for detecting internal faults in an electric meter box according to claim 1, characterized in that, The output of the fault state identification result includes: The data packet containing the identification information, leakage current parameters, temperature parameters and fault status identification results is sent to a remote terminal via the wireless transmission module integrated in the detection device. The wireless transmission module can automatically switch between at least two communication modes based on signal strength to ensure the continuity of data transmission.

9. A fault detection device for an internal meter box, characterized in that, It includes a processor and a memory, the memory storing a computer program that, when executed by the processor, implements the method for detecting internal faults in an electric meter box as described in any one of claims 1 to 8.

10. A computer-readable storage medium, characterized in that, The storage medium stores a computer program, which, when executed by a processor, implements the method for detecting internal faults in an electric meter box as described in any one of claims 1 to 8.

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