A cable branch box fault early warning device based on multi-source intelligent sensing

Abstract

The application discloses a kind of based on multi-source intelligent sensing cable branch box fault early warning device, it is related to power equipment intelligent monitoring technical field.The device includes the sensor component, edge computing controller and early warning output circuit being set in box body.Sensor component includes contact type and non-contact temperature sensor, partial discharge sensor and current fault sensor, for collecting multidimensional signal;Edge computing controller carries out fusion analysis to signal, and accurately identifies cable joint overheating, insulation aging and short-circuit ground fault according to preset logic;Early warning output circuit then executes graded alarm according to risk level.The application effectively reduces false alarm rate through multi-source data fusion, realizes early warning and accurate diagnosis of fault, and improves the intelligentization and maintenance-free level of cable branch box monitoring by combining self-energy power supply and wireless communication technology.

Description

Technical Field

[0001] This invention relates to the field of intelligent monitoring technology for power equipment, specifically to a fault early warning device for cable branch boxes based on multi-source intelligent sensing. Background Technology

[0002] Cable distribution boxes, as key nodes in urban power distribution networks, play a vital role in power distribution and line connection. Because they are typically installed outdoors, they are subject to long-term exposure to temperature changes, humidity, dirt, and load fluctuations. Internal cable joints and connecting lugs are prone to faults such as poor contact, insulation aging, and partial discharge. In severe cases, these faults can lead to short circuits, grounding, or even fires, threatening the safe and stable operation of the power grid.

[0003] Currently, status monitoring of cable branch boxes largely relies on single-type sensors, such as temperature sensors or current transformers for local parameter acquisition, lacking the ability to collaboratively sense multi-dimensional information such as temperature, partial discharge, and current. Existing devices generally suffer from problems such as single signal acquisition dimensions, low fault identification accuracy, and delayed early warning response, making it difficult to effectively identify early insulation defects or contact degradation. In addition, traditional monitoring equipment mostly uses wired connections, resulting in complex wiring, high maintenance costs, and most lack edge-side data fusion and intelligent judgment capabilities, leading to a large amount of raw data being uploaded to the backend for processing, increasing communication burden and response delays.

[0004] Therefore, there is an urgent need for an intelligent monitoring device that can integrate multi-source sensing, has edge computing capabilities, and can accurately identify fault types and provide hierarchical early warning, in order to improve the operational reliability and intelligent maintenance level of cable branch boxes. Summary of the Invention

[0005] To address the aforementioned problems in existing technologies, this invention provides a cable branch box fault early warning device based on multi-source intelligent sensing. This invention constructs a multi-source sensing network by setting up contact and non-contact temperature sensors, partial discharge sensors, and current fault sensors. An edge computing controller fuses and analyzes the multi-source data, executing preset multi-source fusion judgment logic to accurately identify fault types such as cable joint overheating, insulation aging, and short-circuit grounding, and outputs corresponding control commands based on the risk level.

[0006] Specifically, this embodiment of the invention provides a cable branch box fault early warning device based on multi-source intelligent sensing, including a sensor assembly, an edge computing controller, and an early warning output circuit connected to the edge computing controller, all disposed inside the cable branch box. The sensor assembly includes a contact temperature sensor for acquiring contact point temperature signals, a non-contact temperature sensor for acquiring temperature distribution signals, a partial discharge sensor for acquiring partial discharge signals, and a current fault sensor for acquiring current signals. The edge computing controller is configured to receive the contact point temperature signal, the temperature distribution signal, the partial discharge signal, and the current signal collected by the sensor components, and to perform fusion analysis on the multi-source sensor signals. The edge computing controller is also configured to generate a fault warning command based on a preset multi-source fusion judgment logic. The warning output circuit is configured to output a corresponding warning signal in response to the fault warning command.

[0007] In one feasible implementation, the contact temperature sensor is closely attached to the metal surface of the cable joint or the metal surface of the connecting lug inside the cable branch box; the non-contact temperature sensor array is arranged on the top or side wall of the inner wall of the cable branch box, and its detection direction is aligned with the area of ​​the cable joint or connecting lug.

[0008] In one feasible implementation, the contact temperature sensor is a surface-mount thermistor or a digital temperature sensor chip; the non-contact temperature sensor is an infrared thermopile sensor or an infrared thermal imaging sensor; the partial discharge sensor includes an ultrasonic sensor and / or a ground wave sensor; and the current fault sensor is a through-hole current transformer, which is sleeved on the core wire of the three-phase cable inside the cable branch box.

[0009] In one feasible implementation, the edge computing controller is configured to execute the following multi-source fusion judgment logic: when the temperature value detected by the contact temperature sensor exceeds a first preset temperature threshold and the temperature value detected by the non-contact temperature sensor exceeds a second preset temperature threshold, it is determined that the cable joint is overheating. When the signal characteristics detected by the partial discharge sensor exceed the partial discharge threshold, and the current value detected by the current fault sensor is within the normal range, it is determined to be an insulation aging fault. When the current value detected by the current fault sensor exceeds the preset fault current threshold, it is determined to be a short circuit or ground fault.

[0010] In one feasible implementation, the edge computing controller is further configured to calculate a risk level score based on the determined fault type and divide the risk level score into at least three levels, including a concern level, a warning level, and an alarm level.

[0011] In one feasible implementation, the early warning output circuit includes a local light alarm, a local sound alarm, a dry contact output interface, and a wireless communication module. When the edge computing controller determines that the level is of interest, it only triggers the local light alarm to indicate with the first color light source; When the warning level is determined, the local light alarm is triggered to indicate with a second color light source and the local sound alarm is triggered to emit an intermittent buzzing sound. When the alarm level is determined, the local light alarm is triggered to indicate with a third color light source, the local sound alarm emits a continuous buzzer, the dry contact output interface closes to output a dry contact signal, and the wireless communication module sends alarm information to the remote monitoring center.

[0012] In one feasible implementation, at least some of the sensors in the sensor assembly are self-powered. The self-powered power supply method includes a current transformer installed on the cable in the cable branch box. The current transformer obtains electrical energy from the cable load current through electromagnetic induction and supplies power to the corresponding sensor after rectification and voltage regulation circuit.

[0013] In one feasible implementation, the sensor assembly is connected to the edge computing controller via wireless communication, the wireless communication method including at least one of LoRa wireless communication, ZigBee wireless communication, or NB-IoT wireless communication.

[0014] In one feasible implementation, each sensor in the sensor assembly independently includes a local data processing sub-circuit, which performs preliminary filtering and threshold judgment on the acquired raw sensor signals, and only sends data exceeding preset characteristics to the edge computing controller.

[0015] In one feasible implementation, the device further includes a status display panel disposed outside the cable branch box, the status display panel being connected to the edge computing controller, for displaying the working status of each sensor, the current fault type, and the risk level.

[0016] The beneficial effects of the technical solution provided by this invention include: This invention constructs a multi-dimensional sensor network by integrating contact temperature sensors, non-contact temperature sensors, partial discharge sensors, and current fault sensors, enabling comprehensive acquisition of contact point temperature, temperature distribution, partial discharge, and current signals within cable branch boxes. An edge computing controller fuses and analyzes the multi-source sensor signals, overcoming the limitations of traditional single-parameter monitoring and improving the accuracy of fault identification and the ability to detect early defects. Through preset multi-source fusion judgment logic, it can accurately distinguish different fault types such as cable joint overheating, insulation aging, short circuits, or grounding, and achieve graded early warning by combining risk level scoring, effectively avoiding false alarms and missed alarms.

[0017] The device employs a self-powered supply method and wireless communication technology, reducing wiring complexity and maintenance costs while improving deployment flexibility. The early warning output circuit, through a combination of light, sound, dry contacts, and wireless communication modules, achieves coordinated local and remote early warning, ensuring timely transmission of fault information. The status display panel further enhances the device's visualization and ease of operation and maintenance. Overall, this invention achieves intelligent sensing, accurate diagnosis, and rapid response to the operating status of cable branch boxes, providing reliable technical support for the safe and stable operation of the power distribution network and aligning with the development direction of intelligent sensor technology. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of the present invention, 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 structural layout of the cable branch box fault early warning device of the present invention; Figure 2 This is a schematic diagram of the system connection structure of the cable branch box fault early warning device of the present invention; Figure 3 This is a block diagram of the multi-source fusion judgment logic of the cable branch box fault early warning device of the present invention.

[0020] The components represented by the various reference numerals in the diagram are: 100. Cable branch box enclosure; 200. Sensor assembly; 210. Contact temperature sensor; 220. Non-contact temperature sensor; 230. Partial discharge sensor; 240. Current fault sensor; 300. Edge computing controller; 400. Early warning output circuit; 410. Local light alarm; 420. Local sound alarm; 430. Dry contact output interface; 440. Wireless communication module; 500. Status display panel. Detailed Implementation

[0021] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention are within the protection scope of the embodiments of the present invention. Example 1

[0022] See Figure 1 and Figure 2 The cable branch box fault early warning device based on multi-source intelligent sensing in this embodiment mainly includes a sensor assembly 200, an edge computing controller 300, an early warning output circuit 400, and a status display panel 500, which are installed in the cable branch box body 100.

[0023] like Figure 2 As shown, the sensor assembly 200 includes a contact temperature sensor 210, a non-contact temperature sensor 220, a partial discharge sensor 230, and a current fault sensor 240. The edge computing controller 300 is connected to the sensor assembly 200 via a signal line or wirelessly, and receives and processes multi-source sensing signals.

[0024] The contact temperature sensor 210 is preferably a surface-mount NTC thermistor or a digital temperature sensor chip, which is closely attached to the metal surface of the cable connector and / or the metal surface of the connecting lug inside the cable branch box, for real-time monitoring of the core temperature of the conductor surface.

[0025] The non-contact temperature sensor 220 is preferably an infrared thermopile sensor or an infrared thermal imaging sensor, which is arrayed on the top and / or side walls of the inner wall of the cable branch box 100. Its detection direction is aimed at the cable joint and / or connecting lug area, and it is used to monitor the ambient temperature distribution around the joint to help determine whether there is local overheating.

[0026] By employing a dual temperature measurement layout combining contact and non-contact sensors, comprehensive three-dimensional monitoring of cable joint temperatures is achieved. The contact sensors directly acquire the true temperature of the metal conductor, providing accurate and reliable data. The non-contact sensor array constructs a holistic temperature field perception of the joint area, capable of detecting abnormal temperature rises caused by blind spots in the contact sensors or loose installation. This complementary layout effectively eliminates monitoring blind spots, improves the identification rate of overheating faults caused by poor contact, and enhances the robustness of the monitoring system.

[0027] The partial discharge sensor 230 includes an ultrasonic sensor and / or a ground wave sensor. The ultrasonic sensor is attached to the surface of the insulation layer of the cable joint and / or the surface of the cable insulation sleeve to capture ultrasonic signals generated by internal discharge of the insulation layer; the ground wave sensor is embedded in the inner wall of the cable branch box 100 to detect electromagnetic waves propagating on the metal shell during partial discharge inside the switch cabinet.

[0028] The current fault sensor 240 is a through-type current transformer, which is respectively installed on the core wires of the three-phase cables in the cable branch box to monitor the short-circuit current and / or grounding current of the three-phase current.

[0029] This implementation utilizes a mature and highly sensitive hardware combination. Surface-mount thermistors and digital chips are small in size and have a fast response, making them suitable for installation in confined spaces; infrared thermopile or thermal imaging sensors can non-invasively acquire temperature distribution characteristics; ultrasonic and ground wave sensors can capture acoustic and electromagnetic wave signals generated by insulation degradation, respectively, exhibiting strong anti-interference capabilities; and through-hole current transformers enable high-precision current sampling under electrical isolation. The selection of these specific components ensures high fidelity in multi-source signal acquisition and long-term system stability, laying a hardware foundation for subsequent accurate fault diagnosis.

[0030] The edge computing controller 300 is configured to receive the contact point temperature signal, temperature distribution signal, partial discharge signal and current signal collected by the above sensors, and to perform fusion analysis processing on the multi-source sensor signals. Example 2

[0031] This embodiment further defines the control logic of the edge computing controller 300 based on embodiment 1.

[0032] like Figure 3 As shown, the edge computing controller 300 pre-stores multi-source fusion judgment logic. After receiving a signal, the controller executes the following judgment steps: Cable joint overheating fault determination: When the temperature value detected by the contact temperature sensor 210 exceeds a first preset temperature threshold (e.g., 80°C), and the temperature value detected by the non-contact temperature sensor 220 exceeds a second preset temperature threshold (e.g., 55°C), the edge computing controller 300 determines that the cable joint is overheating. This "dual-temperature verification" mechanism effectively eliminates false alarms caused solely by high ambient temperature or sensor malfunction.

[0033] Insulation aging fault determination: When the signal characteristics (such as pulse number or amplitude) detected by the partial discharge sensor 230 exceed the partial discharge threshold, and the current value detected by the current fault sensor 240 is within the normal range (excluding heat generation caused by excessive load current), it is determined to be an insulation aging fault.

[0034] Short circuit or ground fault determination: When the current value detected by the current fault sensor 240 exceeds the preset fault current threshold, it is directly determined to be a short circuit or ground fault.

[0035] This logic leverages the correlation of multi-dimensional data to extract fault features, effectively addressing the pain point of false alarms caused by single-parameter monitoring. By jointly determining temperature and partial discharge signals, it can accurately distinguish between "overheating due to poor contact" and "discharge due to insulation aging," avoiding misjudgments caused by increased ambient temperature or external electromagnetic interference. Simultaneously, by combining current status to determine short-circuit faults, the device can monitor not only progressive faults but also respond to sudden faults. This multi-source fusion algorithm improves the accuracy and intelligence level of fault diagnosis.

[0036] In addition, the edge computing controller 300 is also configured to calculate a risk level score based on the determined fault type. For example, it calculates a comprehensive score by assigning different weights to the temperature exceedance range, partial discharge intensity, and current magnitude, and divides the risk level into at least three levels: concern level (indicating slight parameter fluctuations), warning level (indicating potential hazards), and alarm level (indicating serious faults).

[0037] By introducing a risk level scoring mechanism, refined management of fault early warning has been achieved. Unlike the traditional binary "present / absent" alarm, the graded scoring can quantify the severity and development trend of faults, helping maintenance personnel distinguish between priorities. For example, "attention level" can prompt maintenance personnel to conduct regular observations, while "alarm level" requires immediate shutdown and repair. This graded strategy optimizes the allocation of maintenance resources, avoiding unnecessary power outages caused by overreaction or minor problems escalating into major repairs due to delayed response. Example 3

[0038] This embodiment further defines the specific response mechanism of the early warning output circuit 400.

[0039] like Figure 2 As shown, the early warning output circuit 400 includes a local light alarm 410 (such as a tri-color LED light), a local sound alarm 420 (buzzer), a dry contact output interface 430 (for connecting to an external trip circuit), and a wireless communication module 440 (such as a 4G / NB-IoT module).

[0040] Based on the risk level calculated in Example 2, the edge computing controller 300 controls the early warning output circuit 400 to execute a graded response: Attention level: The local light alarm 410 is triggered only to indicate with a green light source (or remain constantly lit), prompting maintenance personnel to pay attention and requiring no emergency handling.

[0041] Warning level: Trigger the local optical alarm 410 to indicate with a yellow light source, and trigger the local acoustic alarm 420 to emit intermittent beeping to remind the operation and maintenance personnel to arrange planned maintenance.

[0042] Alarm level: Simultaneously trigger the local optical alarm 410 to indicate with a red light source, the local acoustic alarm 420 to emit continuous beeping (long beep), simultaneously close the dry contact output interface 430 to output a dry contact signal (which can cut off the power supply of the upper level), and send an alarm message to the remote monitoring center through the wireless communication module 440 to notify the operation and maintenance personnel to handle it immediately.

[0043] Through this embodiment, a three-dimensional early warning system of "combining sound and light, local and remote linkage" is constructed. Different alarm modes (such as color change, sound frequency change) are matched for different risk levels, enabling on-site inspection personnel to intuitively and quickly identify the severity of the fault. At the same time, the dry contact output can directly link external circuit breakers or fans, and the wireless module uploads data to the cloud in real time, realizing closed-loop management from on-site perception to background control, greatly shortening the fault response time, and ensuring the safety of the power grid.

[0044] In addition, in this embodiment, the status display panel 500 disposed outside the cable branch box body 100 is connected to the edge computing controller 300. The operation and maintenance personnel can view the working status of each sensor, the current fault type and risk level through the panel without opening the box.

[0045] The external status display panel provides a window for the operation and maintenance personnel to obtain the health status of the equipment without opening the box. This greatly facilitates the daily inspection work, avoiding the safety hazards and cumbersome operations caused by frequently opening the high-voltage cabinet door. By intuitively displaying the sensor status and fault information, the operation and maintenance personnel can quickly locate the problem, improving the efficiency and safety of the distribution network operation and maintenance. Embodiment 4

[0046] This embodiment further defines the power supply and communication optimization of the sensor.

[0047] Considering the difficulty of obtaining power inside the cable branch box, at least some sensors (such as the current fault sensor 240) included in the sensor assembly 200 adopt a self-powered power supply method. Specifically, it includes an energy-taking current transformer disposed on the cable inside the cable branch box, obtaining electrical energy from the cable load current through electromagnetic induction, supplying power to the sensor after passing through a rectification and voltage stabilization circuit, and connecting to an energy storage capacitor to maintain power supply during current fluctuations or power outages.

[0048] The adoption of inductive power harvesting technology solves the problems of difficult power supply and high battery replacement and maintenance costs for sensors inside cable branch boxes. By using the cable's own load current as an energy source, the sensors can operate in a "passive" or "long-life" manner. This not only eliminates the insulation hazards caused by wiring but also ensures that the sensors can work continuously during normal cable operation (under load), improving the device's maintenance-free nature and environmental adaptability.

[0049] The sensor assembly 200 and the edge computing controller 300 are preferably connected wirelessly (e.g., LoRa, ZigBee, or NB-IoT), avoiding complex wiring. Wireless connectivity completely eliminates the constraints of traditional wired transmission, avoiding the construction complexity and insulation damage risks associated with laying signal cables within high-voltage cabinets. Low-power wide-area network technologies such as LoRa, ZigBee, or NB-IoT have strong penetration and good anti-interference capabilities, making them ideal for cable distribution boxes in metal-enclosed environments. This not only reduces installation and commissioning costs but also allows for more flexible sensor layout, facilitating future expansion and upgrades.

[0050] Each sensor independently includes a local data processing sub-circuit, which performs preliminary filtering and threshold judgment on the acquired raw sensor signals. Only data exceeding preset characteristics (such as temperature changes or partial discharge pulses) is sent to the edge computing controller 300, significantly reducing the amount of communication data and improving system response speed. Introducing an edge preprocessing mechanism at the sensor end effectively filters environmental noise and invalid data, reducing the computational load on the main control chip and the bandwidth pressure on the communication link. Data is only uploaded when data characteristics exceed a preset threshold (i.e., a potential fault). This "on-demand transmission" strategy significantly reduces system power consumption, extends the lifespan of power supply equipment, and improves the main control system's response speed to critical fault information.

[0051] This invention addresses the shortcomings of existing cable distribution box monitoring methods, such as limited functionality, high false alarm rates, and complex wired deployment. It proposes a fault early warning device based on multi-source intelligent sensing. This device integrates contact and non-contact temperature sensors, partial discharge sensors, and current fault sensors within the box to construct a comprehensive sensing network. An edge computing controller executes a multi-source fusion judgment algorithm that includes "dual-temperature verification" and "partial discharge current mutual exclusion logic." This invention not only accurately distinguishes between multiple fault types, such as cable joint overheating, insulation aging, and short-circuit grounding, effectively avoiding false alarms caused by environmental interference, but also achieves maintenance-free operation and flexible deployment through self-powered supply and wireless communication technology, thereby improving the intelligent operation and maintenance level and safety stability of distribution network nodes.

[0052] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to 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. Such 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, and should all be included within the protection scope of the present invention.

Claims

1. A fault early warning device for a cable branch box based on multi-source intelligent sensing, comprising a sensor assembly (200), an edge computing controller (300), and an early warning output circuit (400) connected to the edge computing controller (300) and disposed within the cable branch box housing (100); characterized in that, The sensor assembly (200) includes a contact temperature sensor (210) for acquiring contact point temperature signals, a non-contact temperature sensor (220) for acquiring temperature distribution signals, a partial discharge sensor (230) for acquiring partial discharge signals, and a current fault sensor (240) for acquiring current signals. The edge computing controller (300) is configured to receive the contact point temperature signal, the temperature distribution signal, the partial discharge signal and the current signal collected by the sensor assembly (200), and to perform fusion analysis processing on the multi-source sensor signals; The edge computing controller (300) is also configured to generate a fault warning command based on a preset multi-source fusion judgment logic; The warning output circuit (400) is configured to output a corresponding warning signal in response to the fault warning command.

2. The cable branch box fault early warning device based on multi-source intelligent sensing according to claim 1, characterized in that, The contact temperature sensor (210) is closely attached to the metal surface of the cable joint or the metal surface of the connecting lug inside the cable branch box; the non-contact temperature sensor (220) array is arranged on the top or side wall of the inner wall of the cable branch box (100), and its detection direction is aligned with the area of ​​the cable joint or connecting lug.

3. The cable branch box fault early warning device based on multi-source intelligent sensing according to claim 1, characterized in that, The contact temperature sensor (210) is a surface-mount thermistor or a digital temperature sensor chip; the non-contact temperature sensor (220) is an infrared thermopile sensor or an infrared thermal imaging sensor; the partial discharge sensor (230) includes an ultrasonic sensor and / or a ground wave sensor; the current fault sensor (240) is a through-hole current transformer, which is installed on the core wire of the three-phase cable in the cable branch box.

4. The cable branch box fault early warning device based on multi-source intelligent sensing according to claim 1, characterized in that, The edge computing controller (300) is configured to execute the following multi-source fusion judgment logic: When the temperature value detected by the contact temperature sensor (210) exceeds the first preset temperature threshold and the temperature value detected by the non-contact temperature sensor (220) exceeds the second preset temperature threshold, it is determined that the cable joint is overheating. When the signal characteristics detected by the partial discharge sensor (230) exceed the partial discharge threshold and the current value detected by the current fault sensor (240) is within the normal range, it is determined to be an insulation aging fault. When the current value detected by the current fault sensor (240) exceeds the preset fault current threshold, it is determined to be a short circuit or ground fault.

5. A cable branch box fault early warning device based on multi-source intelligent sensing according to claim 4, characterized in that, The edge computing controller (300) is also configured to calculate a risk level score based on the determined fault type and divide the risk level score into at least three levels, including a concern level, a warning level, and an alarm level.

6. A cable branch box fault early warning device based on multi-source intelligent sensing according to claim 5, characterized in that, The warning output circuit (400) includes a local light alarm (410), a local sound alarm (420), a dry contact output interface (430), and a wireless communication module (440). When the edge computing controller (300) determines that the level of interest is set, it only triggers the local light alarm (410) to indicate with a first color light source; When the warning level is determined, the local light alarm (410) is triggered to indicate with a second color light source and the local sound alarm (420) is triggered to emit an intermittent buzzing sound; When the alarm level is determined, the local light alarm (410) is triggered to indicate with a third color light source, the local sound alarm (420) emits a continuous buzzing, the dry contact output interface (430) closes to output a dry contact signal, and the wireless communication module (440) sends alarm information to the remote monitoring center.

7. A cable branch box fault early warning device based on multi-source intelligent sensing according to claim 1, characterized in that, At least some of the sensors included in the sensor assembly (200) are self-powered. The self-powered power supply method includes a current transformer installed on the cable (140) in the cable branch box. The current transformer obtains electrical energy from the cable load current through electromagnetic induction and supplies power to the corresponding sensor after rectification and voltage regulation circuit.

8. A cable branch box fault early warning device based on multi-source intelligent sensing according to claim 1, characterized in that, The sensor assembly (200) is connected to the edge computing controller (300) via wireless communication, which includes at least one of LoRa wireless communication, ZigBee wireless communication, or NB-IoT wireless communication.

9. A cable branch box fault early warning device based on multi-source intelligent sensing according to claim 8, characterized in that, Each sensor in the sensor assembly (200) independently includes a local data processing sub-circuit. The local data processing sub-circuit performs preliminary filtering and threshold judgment on the acquired raw sensor signals and sends only data exceeding preset characteristics to the edge computing controller (300).

10. A cable branch box fault early warning device based on multi-source intelligent sensing according to claim 1, characterized in that, The device also includes a status display panel (500) disposed outside the cable branch box (100), the status display panel (500) being connected to the edge computing controller (300) and used to display the working status of each sensor, the current fault type and risk level.

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