Portable power line safety monitoring device and working method thereof
By integrating multiple sensors and advanced algorithms, the portable power line safety monitoring device solves the problems of multi-parameter synchronous monitoring, portability, fault identification and data recording of existing power monitoring equipment, and realizes rapid response and fault tracing, thereby improving power safety and work efficiency.
Patent Information
- Application Number
- CN202511773322.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-28
- Publication Date
- 2026-02-27
AI Technical Summary
Existing power monitoring equipment cannot integrate multiple sensors for simultaneous monitoring of multiple parameters. The equipment is not portable, the data analysis algorithm has a low rate of identifying hidden faults, the alarm mechanism is imperfect, the response speed is slow, the data recording function is insufficient, and fault tracing is difficult to achieve.
Design a portable power line safety monitoring device that integrates a monitoring and acquisition module, a transmission module, a data calculation and analysis processing module, a human-machine interaction module, and a data storage module. Employ current transformers, voltage transformers, thermistors, line monitors, power supply module monitors, and abnormal situation alarms. Combined with fault diagnosis models, edge computing optimization strategies, adaptive sampling control, and predictive maintenance algorithms, it achieves real-time monitoring, alarming, and recording of multiple parameters.
It achieves multi-parameter synchronous monitoring, is portable, quickly identifies hidden faults, optimizes the alarm mechanism, improves response speed, enhances data recording function, supports fault tracing, and ensures power safety and work efficiency.
Smart Images
Figure CN121584871A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of power industry monitoring technology, specifically to a portable power line safety monitoring device and its working method. Background Technology
[0002] With the rapid development of society and economy and the leapfrog advancement of science and technology, people's dependence on electricity is increasing. In the current power system, fires and safety accidents caused by electrical faults occur frequently. The stability and continuity of power supply and consumption have become one of the important issues of concern to the whole society. During long-term use, equipment is prone to some potential hazards, which are not easy to detect. Most of them require careful inspection by experienced managers. With the continuous expansion of urban power stations and the increase in electrical equipment, power management cannot rely solely on personnel to identify them one by one. More specialized instruments and equipment are needed for detection to eliminate these safety hazards in a timely manner. Therefore, the installation of power monitoring equipment is crucial.
[0003] Existing power monitoring equipment and technologies have many shortcomings, such as: 1) inability to integrate multiple sensors to achieve simultaneous monitoring of multiple parameters; 2) non-portable design, making them inconvenient for on-site use; 3) low accuracy in identifying latent faults due to poor data analysis algorithms; 4) incomplete alarm mechanisms and slow response speed; and 5) incomplete data recording functions, making fault tracing difficult. Therefore, the applicant provides a portable power line safety monitoring device that can monitor, alarm, and record electrical faults in electrical equipment and power lines in real time, including high power consumption, short circuits, leakage current, excessive residual current, overvoltage, and undervoltage. It can also use the monitored values to calculate and analyze parameters such as three-phase imbalance and resistive current. Furthermore, it can track and analyze data on the current, temperature, and voltage of electrical equipment to quickly locate faults, resolve problems promptly, ensure power safety, and improve work efficiency. Summary of the Invention
[0004] To address the aforementioned technical problems, this invention proposes a portable power line safety monitoring device and its operating method. By incorporating a monitoring and acquisition module, a transmission module, a data calculation and analysis module, a human-machine interaction module, and a data storage module, it enables real-time monitoring, alarming, and recording of multiple electrical faults in power lines; tracks and analyzes various data from the transmission lines; quickly locates faults; resolves problems promptly; ensures electrical safety; and improves work efficiency.
[0005] To achieve the above objectives, the technical solution adopted by the present invention is as follows:
[0006] A portable power line safety monitoring device and its operating method are disclosed, characterized in that: the portable power line safety monitoring device is equipped with a monitoring and acquisition module, a transmission module, a data calculation and analysis processing module, a human-machine interaction module, and a data storage module; the monitoring and acquisition module is equipped with a current transformer, a voltage transformer, a thermistor, a line monitor, a power supply module monitor, and an abnormal situation alarm; the transmission module performs wired and wireless data transmission; the data calculation and analysis processing module is equipped with a fault diagnosis model fusion architecture, an edge computing optimization strategy, adaptive sampling control, and a predictive maintenance algorithm; the human-machine interaction module is equipped with a multimodal interactive interface, an intelligent alarm strategy, a hierarchical interactive architecture, and intelligent voice interaction; and the data storage module provides data storage and data retrieval.
[0007] Furthermore, the fault diagnosis model fusion architecture of the data calculation, analysis and processing module of the portable power line safety monitoring device consists of data input, feature engineering, model fusion and decision output.
[0008] Furthermore, the edge computing optimization strategy of the data calculation, analysis and processing module of the portable power line safety monitoring device is as follows: sliding window RMS calculation is used during steady-state monitoring; wavelet packet decomposition algorithm is used during transient faults; and LSTM lightweight model algorithm is used during predictive maintenance.
[0009] Furthermore, the adaptive sampling control of the data calculation and analysis processing module of the portable power line safety monitoring device is divided into dynamic adjustment sampling control and steady-state operation sampling control; during dynamic adjustment sampling control, when |dI / dt| > 10A / ms, it switches to 1MHz high-speed sampling, and when the temperature change rate > 2℃ / s, it starts infrared thermal imaging assistance; during steady-state operation sampling control, it maintains 10kHz basic sampling.
[0010] Furthermore, the predictive maintenance algorithm of the data calculation, analysis, and processing module in the portable power line safety monitoring device is based on an LSTM neural network to construct a device health assessment model, with the following formula:
[0011] RUL(t) = \int_{t_0}^{t} \frac{1}{1+e^{-α(θ-θ_{crit})}} dθ
[0012] Where: α is the degradation acceleration factor;
[0013] θ is the set of characteristic parameters.
[0014] Furthermore, the portable power line safety monitoring device is equipped with a multimodal interactive interface for its human-computer interaction module, which includes a touch interface, voice interaction, and status indicator lights.
[0015] Furthermore, the intelligent alarm strategy of the human-machine interaction module of the portable power line safety monitoring device adopts a hierarchical alarm mechanism, with the following response methods for each level: Level I: Arc fault / Temperature >100℃ audible and visual alarm + remote notification + automatic power off; Level II: Imbalance >15% / Leakage >30mA vibration alert + screen pop-up; Level III: Harmonic distortion rate >8% status bar flashing prompt.
[0016] Furthermore, the human-computer interaction module of the portable power line safety monitoring device has a layered interactive architecture consisting of a physical layer, a logic layer, and a response layer. The physical layer is equipped with a 7-inch anti-glare capacitive screen and a dual-microphone array. The logic layer is equipped with a voice command set, gesture recognition, and a multi-level menu. The response layer is equipped with sound and light alarms, voice broadcasts, and vibration feedback.
[0017] Furthermore, the portable power line safety monitoring device is equipped with a human-computer interaction module that features intelligent voice interaction with noise suppression, command parsing, and response mechanisms.
[0018] Furthermore, the specific steps of the working method of the portable power line safety monitoring device are as follows:
[0019] Step 1: Install the monitoring and acquisition module on the electrical equipment and power lines. The monitoring and acquisition module is equipped with current transformers, voltage transformers, thermistors, line monitors, and power supply module monitors to monitor and record electrical faults such as power, short circuits, leakage current, excessive residual current, overvoltage, and undervoltage on the power lines in real time. When a fault is detected, an alarm will be triggered through the abnormal situation alarm.
[0020] Step 2: The data collected by the monitoring and acquisition module is transmitted to the data calculation, analysis and processing module through the transmission module for parsing, calculation and analysis;
[0021] Step 3: The data calculation, analysis and processing module uses a fault diagnosis model fusion architecture, edge computing optimization strategy, adaptive sampling control and predictive maintenance algorithm to comprehensively analyze and evaluate the collected data to determine whether there are faults in the electrical equipment and power lines, and predict possible faults in the electrical equipment and power lines based on the collected data;
[0022] Step 4: The data information analyzed by the data calculation and analysis processing module is transmitted to the terminal device through the transmission module. The human-computer interaction module in the terminal device communicates with the data calculation and analysis processing module. Users can manage electrical equipment and power cables by setting up multimodal interactive interfaces, intelligent alarm strategies, hierarchical interactive architecture and intelligent voice interaction through the human-computer interaction module, and promptly detect and deal with faults.
[0023] Step 5: The data collected by the monitoring and acquisition module, the data analyzed by the data calculation and analysis processing module, and the interactive data generated by the human-computer interaction module are stored in the data storage module for easy retrieval, use, and verification.
[0024] The benefits of this application are:
[0025] 1. The portable power line safety monitoring device and its working method can integrate multiple sensors to achieve synchronous monitoring of multiple parameters;
[0026] 2. The portable power line safety monitoring device and its working method are designed to be portable and easy to use in the field;
[0027] 3. Portable power line safety monitoring device and its working method: Develop data analysis algorithms to quickly identify hidden faults;
[0028] 4. The portable power line safety monitoring device and its working method have optimized the alarm mechanism and improved the response speed;
[0029] 5. Portable power line safety monitoring device and its working method enhance data recording function and support fault tracing. Attached Figure Description
[0030] Figure 1 This is a schematic diagram of the system structure of the present invention;
[0031] Figure 2 This is a schematic diagram of the transmission line temperature monitoring system of the present invention;
[0032] Figure 3 This is a schematic diagram of the current monitoring of various power lines in the present invention;
[0033] Figure 4 This is a schematic diagram of the power line voltage monitoring of the present invention. Detailed Implementation
[0034] The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments:
[0035] like Figure 1-4 As shown, this is a portable power line safety monitoring device and its working method. Figure 1As shown, the portable power line safety monitoring device includes a monitoring and acquisition module, a transmission module, a data calculation and analysis processing module, a human-machine interaction module, and a data storage module. The monitoring and acquisition module includes a current transformer, a voltage transformer, a thermistor, a line monitor, a power supply module monitor, and an abnormal situation alarm. The transmission module performs wired and wireless data transmission. The data calculation and analysis processing module employs a fault diagnosis model fusion architecture, edge computing optimization strategies, adaptive sampling control, and predictive maintenance algorithms. The human-machine interaction module features a multimodal interactive interface, intelligent alarm strategies, a hierarchical interactive architecture, and intelligent voice interaction. The data storage module provides data storage and retrieval.
[0036] The portable power line safety monitoring device shown has a fault diagnosis model fusion architecture for its data calculation, analysis, and processing module, which consists of data input, feature engineering, model fusion, and decision output; specifically:
[0037] graph LR
[0038] D [Data Input] --> E [Feature Engineering]
[0039] E-->F [Model Fusion]
[0040] F --> G [Decision Output]
[0041] Subgraph E [Feature Engineering]
[0042] E1 [Time Domain Features] --> E11 [Zero Crossing Rate / Kubernation]
[0043] E2 [Frequency Domain Characteristics] --> E21 [FFT Harmonic Analysis]
[0044] E3 [Associated Feature] --> E31 [Current-Temperature Gradient Coupling]
[0045] end
[0046] subgraph F [model fusion]
[0047] F1 [Random Forest] --> F11 [Training with 2000 sets of fault data:]
[0048] ml-citation{ref="11" data="citationList"}]
[0049] F2 [LSTM] --> F21 [Timing Prediction]
[0050] F3 [Output Layer] --> F31 [Weighted Voting Decision]
[0051] End.
[0052] The edge computing optimization strategy of the data calculation, analysis and processing module of the portable power line safety monitoring device shown is as follows: during steady-state monitoring, sliding window RMS calculation is used, and CPU usage is less than 15%; during transient faults, wavelet packet decomposition algorithm is used, with a peak memory usage of 48MB; during predictive maintenance, LSTM lightweight model algorithm is used, reducing FLOPs by 63%.
[0053] The portable power line safety monitoring device shown has an adaptive sampling control module for data calculation, analysis and processing, which is divided into dynamic adjustment sampling control and steady-state operation sampling control. During dynamic adjustment sampling control, when |dI / dt| > 10A / ms, it switches to 1MHz high-speed sampling, and when the temperature change rate > 2℃ / s, it starts infrared thermal imaging assistance. During steady-state operation sampling control, it maintains a 10kHz basic sampling.
[0054] The predictive maintenance algorithm of the data calculation, analysis and processing module of the portable power line safety monitoring device shown is based on an LSTM neural network to build a device health assessment model, and the formula is:
[0055] RUL(t) = \int_{t_0}^{t} \frac{1}{1+e^{-α(θ-θ_{crit})}} dθ
[0056] Where: α is the degradation acceleration factor;
[0057] θ is the set of characteristic parameters.
[0058] The portable power line safety monitoring device shown features a multimodal interactive interface for its human-machine interface module, which includes a touch screen, voice interaction, and status indicator lights. Specifically:
[0059] Touchscreen interface: The 7-inch capacitive screen supports 10-point touch and adopts a layered UI architecture: Main interface → Real-time monitoring (waveform / value) → History → System settings; Main interface → Alarm management → Fault location → Handling suggestions;
[0060] Voice interaction: Integrated dual-microphone array + noise reduction algorithm, supports voice commands (such as "display A phase historical curve") and alarm voice broadcast;
[0061] Status indicator lights: The ring-shaped RGB light strip displays the system status through color coding: green - normal / yellow - warning / red - fault.
[0062] The portable power line safety monitoring device shown has a human-machine interaction module with a hierarchical alarm strategy. The trigger conditions for each level are as follows: Level I: Arc fault / Temperature >100℃, audible and visual alarm + remote notification + automatic power off; Level II: Imbalance >15% / Leakage >30mA, vibration alert + screen pop-up; Level III: Harmonic distortion rate >8%, status bar flashing prompt.
[0063] The portable power line safety monitoring device shown features a layered human-computer interaction module with a three-tiered architecture consisting of a physical layer, a logic layer, and a response layer. The physical layer includes a 7-inch anti-glare capacitive touchscreen and a dual-microphone array. The logic layer includes a voice command set, gesture recognition, and a multi-level menu. The response layer includes audible and visual alarms, voice broadcasts, and vibration feedback. Specifically:
[0064] graph TB
[0065] A [Physical Layer] --> B [Logical Layer]
[0066] B --> C [Response Layer]
[0067] subgraph A [physical layer]
[0068] A1 [7-inch anti-glare capacitive screen] --> A11 [Supports glove touch]
[0069] A2 [Ring RGB Indicator Light] --> A21 [8-Zone Independent Control]
[0070] A3 [Dual Microphone Array] --> A31 [120° Pickup Angle]
[0071] end
[0072] subgraph B [Logical Layer]
[0073] B1 [Voice Command Set] --> B11 [Embedded Substation Terminology Library:]
[0074] ml-citation{ref="1,5" data="citationList"}]
[0075] B2 [Gesture Recognition] --> B21 [Slide / Long Press / Double Tap Mapping]
[0076] B3 [Multi-level Menu] --> B31 [3-layer Deep Compression Navigation]
[0077] end
[0078] subgraph C [response layer]
[0079] C1 [Audible and Visual Alarm] --> C11 [105dB Buzzer + LED Strobe]
[0080] C2 [Voice Broadcast] --> C21 [Adaptive Chinese-English Bilingual:]
[0081] ml-citation{ref="6" data="citationList"}]
[0082] C3 [Vibration Feedback] --> C31 [Linear Motor 0.1s Response]
[0083] End.
[0084] The portable power line safety monitoring device shown features a human-computer interaction module with intelligent voice interaction that includes noise suppression, command parsing, and response mechanisms, specifically:
[0085] Noise suppression: Employing a dual-channel RLS adaptive filtering algorithm, the recognition accuracy still reaches 95% even in a 90dB noise environment;
[0086] Instruction parsing: A dedicated semantic library for the power industry is built based on HMM+Viterbi word segmentation technology, containing 327 instructions;
[0087] Response mechanism: User: "Check phase B current history"
[0088] →System announcement: "Phase B current peak 82A, occurred at 14:32 today."
[0089] → The curve graph is displayed synchronously on the screen.
[0090] The specific steps for operating the portable power line safety monitoring device shown are as follows:
[0091] Step 1: Install the monitoring and acquisition module on the electrical equipment and power lines. The module is equipped with current transformers, voltage transformers, thermistors, line monitors, and power supply module monitors to monitor and record electrical faults such as power, short circuits, leakage current, excessive residual current, overvoltage, and undervoltage in real time. When a fault is detected, an alarm is triggered via an abnormality alarm. Specific measurements are as follows:
[0092] Temperature Measurement: The temperature measurement function mainly monitors the power transmission lines of electrical equipment in real time to ensure that the line temperature fluctuates within a safe range. Poor contact, overload, or aging can easily cause abnormal heating in the conductors, clamps, and cable joints of power transmission lines. Excessive temperature can lead to decreased material performance, increased resistance, accelerated equipment aging, and even breakage. Exceeding the critical temperature of the wires can cause cable insulation breakdown or fire, especially at weak points such as cable joints. Traditional manual inspections have blind spots and are inefficient; intelligent temperature measurement devices can remotely monitor in real time, saving manpower and covering more nodes, thus realizing a shift from "periodic inspection" to "precise repair."
[0093] Current measurement: The current measurement function mainly monitors the power transmission lines of electrical equipment in real time, and calculates the operating current and residual current of the equipment based on the obtained real-time current value. Combined with the voltage value, it can also obtain parameters such as three-phase imbalance and resistive current. Abnormal current such as overload and short circuit can cause overheating of wires, joints and other parts, accelerate insulation aging and even cause fires. Residual current monitoring can locate the leakage point of the line and prevent electric shock or fire accidents caused by insulation failure, which is especially important in public facilities. Real-time current monitoring can cut off faulty circuits in time to avoid equipment damage.
[0094] Voltage Measurement: The voltage measurement function primarily monitors the transmission lines of electrical equipment in real time. Based on the obtained real-time voltage values, it determines whether the equipment is over- or under-voltage. Combined with current values, it can also obtain parameters such as three-phase imbalance and resistive current. Excessive voltage can lead to insulation breakdown and equipment burnout, such as lamps and motors. Insufficient voltage can cause resistive devices like rice cookers to malfunction, and inductive devices to burn out due to increased current. Voltage measurement can detect faults such as three-phase load imbalance and neutral point drift. Voltage fluctuations and harmonic distortion affect equipment lifespan. Line voltage measurement is the "pulse monitor" of the power system, preventing equipment damage and fires, optimizing energy efficiency, and providing core data for fault diagnosis and insulation assessment. In the development of smart grids, high-precision voltage monitoring has become fundamental to both safety and energy efficiency management.
[0095] Line testing: Line testing mainly involves real-time monitoring of the connection lines between the voltage transformers and current transformers in the external sensors and the testing equipment; Line continuity testing is a fundamental part of power system maintenance, and its importance lies in ensuring the safe and normal operation of equipment, providing an important guarantee for the testing equipment to collect accurate data;
[0096] Step 2: The data collected by the monitoring and acquisition module is transmitted to the data calculation, analysis and processing module through the transmission module for parsing, calculation and analysis;
[0097] Step 3: The data calculation, analysis, and processing module uses a fault diagnosis model fusion architecture, edge computing optimization strategy, adaptive sampling control, and predictive maintenance algorithm to comprehensively analyze and evaluate the collected data to determine whether there are faults in the electrical equipment and power lines, and predicts possible faults in the electrical equipment and power lines based on the collected data; the analysis can be as follows:
[0098] 1) Based on the measured initial values, various required values can be analyzed and obtained, such as:
[0099] Apparent power (S): S = √3 x U_line x I_line;
[0100] Reactive power (Q): Q = √3 x U_line x I_line x sinφ;
[0101] 2) Calculation of three-phase unbalance:
[0102]
[0103] 3) Resistive Current Calculation: Voltage Terminal Vrms Calculation. After receiving the voltage signal from the voltage transformer and the leakage current signal, the monitoring equipment calculates the voltage at the voltage terminal according to the TRMS algorithm. The formula is as follows:
[0104]
[0105] In the formula: n=128; V0~V(n-1) are the values of each voltage sampling point in each cycle;
[0106] 4) Calculation of total current Irms:
[0107]
[0108] In the formula: n=128; 10~I(n-1) are the values of each current sampling point in each cycle;
[0109] 5) Calculation of active power consumption: Using the Vrms and total current Irms values obtained from the above calculations, the active power consumption is then calculated according to the active power formula:
[0110]
[0111] In the formula: n=128; V0~V(n-1) are the values of each voltage sampling point in each cycle, and 10~I(n-1) are the values of each current sampling point in each cycle, so that the power loss can be calculated;
[0112] 6) Derivation of resistive current: Based on the active power P consumed calculated above, we can solve for the active resistive current. According to the formula Ir=P / Vrms, we can solve for the resistive current Ir.
[0113] Step 4: The data information analyzed by the data calculation and analysis processing module is transmitted to the terminal device through the transmission module. The human-computer interaction module in the terminal device communicates with the data calculation and analysis processing module. Users can manage electrical equipment and power cables by setting up multimodal interactive interfaces, intelligent alarm strategies, hierarchical interactive architecture and intelligent voice interaction through the human-computer interaction module, and promptly detect and deal with faults.
[0114] Step 5: The data collected by the monitoring and acquisition module, the data analyzed by the data calculation and analysis processing module, and the interactive data generated by the human-computer interaction module are stored in the data storage module for easy retrieval, use, and verification.
[0115] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any other way. Any modifications or equivalent changes made based on the technical essence of the present invention shall still fall within the scope of protection claimed by the present invention.
Claims
1. A portable power line safety monitoring device, characterized in that: The portable power line safety monitoring device comprises a monitoring and acquisition module, a transmission module, a data calculation and analysis processing module, a human-machine interaction module, and a data storage module. The monitoring and acquisition module includes a current transformer, a voltage transformer, a thermistor, a line monitor, a power supply module monitor, and an abnormal situation alarm. The transmission module performs wired and wireless data transmission. The data calculation and analysis processing module employs a fault diagnosis model fusion architecture, edge computing optimization strategies, adaptive sampling control, and predictive maintenance algorithms. The human-machine interaction module features a multimodal interactive interface, intelligent alarm strategies, a hierarchical interactive architecture, and intelligent voice interaction. The data storage module provides data storage and retrieval.
2. The portable power line safety monitoring device according to claim 1, characterized in that: The fault diagnosis model fusion architecture of the data calculation, analysis and processing module of the portable power line safety monitoring device consists of data input, feature engineering, model fusion and decision output.
3. The portable power line safety monitoring device according to claim 1, characterized in that: The edge computing optimization strategy of the data calculation, analysis and processing module of the portable power line safety monitoring device is as follows: sliding window RMS calculation is used for steady-state monitoring; wavelet packet decomposition algorithm is used for transient faults; and LSTM lightweight model algorithm is used for predictive maintenance.
4. The portable power line safety monitoring device according to claim 1, characterized in that: The portable power line safety monitoring device is equipped with an adaptive sampling control module for data calculation, analysis and processing, which is divided into dynamic adjustment sampling control and steady-state operation sampling control. During dynamic adjustment sampling control, when |dI / dt| > 10A / ms, it switches to 1MHz high-speed sampling, and when the temperature change rate > 2℃ / s, it starts infrared thermal imaging assistance. During steady-state operation sampling control, it maintains a 10kHz basic sampling.
5. A portable power line safety monitoring device according to claim 1, characterized in that: The predictive maintenance algorithm of the data calculation, analysis and processing module of the portable power line safety monitoring device is based on an LSTM neural network to build a device health assessment model, and the formula is: RUL(t) = \int_{t_0}^{t} \frac{1}{1+e^{-α(θ-θ_{crit})}} dθ Where: α is the degradation acceleration factor; θ is the set of characteristic parameters.
6. A portable power line safety monitoring device according to claim 1, characterized in that: The portable power line safety monitoring device is equipped with a human-computer interaction module featuring a multimodal interactive interface, including a touch interface, voice interaction, and status indicator lights.
7. A portable power line safety monitoring device according to claim 1, characterized in that: The portable power line safety monitoring device's human-machine interaction module employs a tiered alarm mechanism with the following trigger conditions: Level I: Arc fault / Temperature >100℃ - Audible and visual alarm + remote notification + automatic power off; Level II: Imbalance >15% / Leakage >30mA - Vibration alert + screen pop-up; Level III: Harmonic distortion rate >8% - Status bar flashing prompt.
8. A portable power line safety monitoring device according to claim 1, characterized in that: The portable power line safety monitoring device features a layered human-computer interaction module with a physical layer, a logic layer, and a response layer. The physical layer includes a 7-inch anti-glare capacitive touchscreen and a dual-microphone array. The logic layer includes a voice command set, gesture recognition, and a multi-level menu. The response layer includes sound and light alarms, voice broadcasts, and vibration feedback.
9. A portable power line safety monitoring device according to claim 1, characterized in that: The portable power line safety monitoring device features a human-computer interaction module with intelligent voice interaction that includes noise suppression, command parsing, and response mechanisms.
10. The operating method of a portable power line safety monitoring device according to claims 1-9, characterized in that: The specific steps for the operation of the portable power line safety monitoring device are as follows: Step 1: Install the monitoring and acquisition module on the electrical equipment and power lines. The monitoring and acquisition module is equipped with current transformers, voltage transformers, thermistors, line monitors, and power supply module monitors to monitor and record electrical faults such as power, short circuits, leakage current, excessive residual current, overvoltage, and undervoltage on the power lines in real time. When a fault is detected, an alarm will be triggered through the abnormal situation alarm. Step 2: The data collected by the monitoring and acquisition module is transmitted to the data calculation, analysis and processing module through the transmission module for parsing, calculation and analysis; Step 3: The data calculation, analysis and processing module uses a fault diagnosis model fusion architecture, edge computing optimization strategy, adaptive sampling control and predictive maintenance algorithm to comprehensively analyze and evaluate the collected data to determine whether there are faults in the electrical equipment and power lines, and predict possible faults in the electrical equipment and power lines based on the collected data; Step 4: The data information analyzed by the data calculation and analysis processing module is transmitted to the terminal device through the transmission module. The human-computer interaction module in the terminal device communicates with the data calculation and analysis processing module. Users can manage electrical equipment and power cables by setting up multimodal interactive interfaces, intelligent alarm strategies, hierarchical interactive architecture and intelligent voice interaction through the human-computer interaction module, and promptly detect and deal with faults. Step 5: The data collected by the monitoring and acquisition module, the data analyzed by the data calculation and analysis processing module, and the interactive data generated by the human-computer interaction module are stored in the data storage module for easy retrieval, use, and verification.