Remote monitoring equipment for capacitor intelligent protection

Abstract

The utility model discloses a remote monitoring device used for capacitor intelligent protection, a metal sensor housing is arranged beside a capacitor to be protected, the side surface of the sensor housing is provided with a grating sensor and a thermal infrared imager, the sensor housing and the capacitor to be protected are arranged on the same panel, and the thermal infrared imager is arranged on the same panel. According to the remote monitoring equipment for capacitor intelligent protection, the problems of capacitor breakdown or explosion risk, high manual inspection cost and incapability of pre-judging potential faults such as insulation aging and abnormal temperature rise caused by failure of real-time early warning of overvoltage, overcurrent and the like are solved, the working state of the capacitor can be monitored in real time through automatic monitoring equipment, and the working efficiency of the capacitor is improved. When an abnormal state is found, an alarm can be sent to a remote monitoring end in time, the device can control automatic disconnection or manual disconnection, and greater danger is avoided.

Description

Technical Field

[0001] This utility model relates to the field of monitoring equipment technology, and in particular to a remote monitoring device for intelligent capacitor protection. Background Technology

[0002] In power systems, capacitors are core components for reactive power compensation, filtering, and voltage stabilization; their operating status directly impacts grid efficiency and security. Traditional capacitor protection relies on local relay operation and manual inspection, which presents the following drawbacks:

[0003] Response delay: Overvoltage, overcurrent and other faults cannot be detected in real time, leading to the risk of capacitor breakdown or explosion;

[0004] Inefficient maintenance: manual inspection is costly and cannot predict potential faults such as insulation aging and abnormal temperature rise;

[0005] Data silos: Operational data is not connected to the network, making it difficult to support the global optimization needs of the smart grid.

[0006] CN200920304886.3 discloses an online monitoring device for the dielectric loss angle of capacitive equipment, including a remote monitoring center, a server, and a monitoring terminal. The remote monitoring center sends acquisition commands to the server, receives data returned by the server, analyzes and calculates the data, diagnoses the operating status of the capacitive equipment, and provides fault warnings. It also stores the received data returned by the server in a database. The server sends acquisition commands from the remote monitoring center to the monitoring terminal and transmits data received from the monitoring terminal back to the remote monitoring center. The monitoring terminal receives acquisition commands from the server, acquires leakage current signals and other relevant information during the operation of the capacitive equipment, converts the acquired current signals and other relevant information into data, stores the data, and transmits the data to the server. This invention provides online real-time monitoring of the relative dielectric loss angle of capacitive equipment, enabling fault diagnosis of the insulation status of high-voltage equipment.

[0007] CN201020665961.1 discloses a remote monitoring device for a capacitor compensation cabinet. The capacitor compensation cabinet is equipped with a power capacitor protector, which contains at least one signal acquisition device. The signal acquisition device transmits the acquired alarm signal to a microcontroller via an opto-isolator. The output of the microcontroller is connected to an alarm terminal device via a communication module. Both the microcontroller and the communication module are connected to a power supply module. This invention employs advanced microcontroller detection and control and network technology for remote wireless monitoring of the capacitor compensation cabinet, enabling remote human-machine interaction. User personnel and equipment manufacturer's after-sales service organizations can adjust and control the operating parameters of the capacitor compensation cabinet in a timely manner via mobile phones and an after-sales service monitoring platform, ensuring the equipment operates in optimal condition. In the event of a fault, the GSM circuit automatically sends the fault information to the user's mobile phone and the equipment manufacturer's after-sales service monitoring platform as an alarm. Utility Model Content

[0008] Therefore, in response to the above problems, this utility model proposes a remote monitoring device for intelligent capacitor protection, which solves the technical problems of the inability to provide real-time early warning of faults such as overvoltage and overcurrent, which leads to the risk of capacitor breakdown or explosion; the high cost of manual inspection; and the inability to predict potential faults such as insulation aging and abnormal temperature rise.

[0009] To achieve the above objectives, the present invention adopts the following technical solution: a remote monitoring device for intelligent capacitor protection, the structure of which includes a local end and a remote monitoring end. The local end includes a grating sensor, an infrared thermal imager, a vibration sensor, a voltage and current transformer, a temperature and humidity composite sensor, and an edge intelligent processing unit. A metal sensor housing is arranged next to the capacitor to be protected. The grating sensor and the infrared thermal imager are arranged on the side of the sensor housing. The sensor housing and the capacitor to be protected are arranged on the same plate. The vibration sensor and the voltage and current transformer are attached to the bottom of the inside of the sensor housing. The temperature and humidity composite sensor is suspended by a support rod. All sensors of the local end are connected to the edge intelligent processing unit. The edge intelligent processing unit is connected to a cloud storage device via 4G, 5G, and wired connections. The cloud storage device is connected to the remote control device via 4G, 5G, and wired connections.

[0010] Furthermore, a grid-like opening is provided on the side of the temperature and humidity composite sensor near the sensor housing.

[0011] Furthermore, 4G, 5G, and wired communication methods serve as backups for each other, and data is transmitted using encryption.

[0012] Furthermore, the cloud storage device includes two sets of backups: a purchased server and an internal enterprise server.

[0013] Furthermore, the remote control device includes a mobile phone for receiving notifications and a computer for controlling the device by deploying a lightweight AI model.

[0014] By adopting the aforementioned technical solution, the beneficial effects of this utility model are as follows: This remote monitoring device for intelligent capacitor protection improves upon the inability to provide real-time early warnings for faults such as overvoltage and overcurrent, which leads to the risk of capacitor breakdown or explosion. Manual inspection is costly and cannot predict potential faults such as insulation aging and abnormal temperature rise. Through automated monitoring equipment, the working status of the capacitor can be monitored in real time. When an abnormal state is detected, a warning can be sent to the remote monitoring terminal in a timely manner. The device can control automatic disconnection or manual disconnection, thus avoiding greater danger. Attached Figure Description

[0015] Figure 1 This is a schematic diagram of the structure of this utility model;

[0016] In the diagram: 1. Sensor housing; 2. Grating sensor; 3. Infrared thermal imager; 4. Vibration sensor; 5. Voltage and current transformer; 6. Temperature and humidity composite sensor; 7. Edge intelligent processing unit; 8. Cloud storage device; 9. Remote control device. Detailed Implementation

[0017] The present invention will now be further described in conjunction with the accompanying drawings and specific embodiments.

[0018] refer to Figure 1 This embodiment provides a remote monitoring device for intelligent capacitor protection. Its structure includes a local end and a remote monitoring end. The local end includes a grating sensor 2, an infrared thermal imager 3, a vibration sensor 4, a voltage and current transformer 5, a temperature and humidity composite sensor 6, and an edge intelligent processing unit 7. A metal sensor housing 1 is installed 10-30cm away from the capacitor to be protected. The grating sensor 2 and the infrared thermal imager 3 are installed on the side of the sensor housing 1. The sensor housing 1 and the capacitor to be protected are mounted on the same plate. The vibration sensor 4 and the voltage and current transformer 5 are attached to the bottom of the inside of the sensor housing 1. The temperature and humidity composite sensor 6 is suspended by a support rod. All sensors on the local end are connected to the edge intelligent processing unit 7. The edge intelligent processing unit 7 is connected to a cloud storage device 8 via 4G, 5G, or wired connections. The cloud storage device 8 is connected to a remote control device 9 via 4G, 5G, or wired connections.

[0019] The temperature and humidity composite sensor 6 has a grid-like opening on one side of the sensor housing 1. The housing is made of 6061 aluminum alloy and measures 300×200×150mm. It is fixed to the base plate of the capacitor cabinet with bolts. The grid-like opening is designed as a honeycomb (2mm aperture) and is located directly in front of the temperature and humidity sensor, 50mm away from the sensor, to ensure stable airflow.

[0020] The edge intelligent processing unit 7 has the following parameters: Processor: ARM Cortex-A72 + NPU accelerator (4 TOPS computing power), supports TensorFlow Lite framework; Storage: 8GB RAM + 64GB eMMC, supports 30-day historical data caching and fault recording; Communication interface: Dual-mode communication (4G / 5G + LoRa), supports MQTT and IEC 61850 protocols; Protection level: IP67, meets IEC61000-4-5 electromagnetic compatibility standard.

[0021] The 4G, 5G and wired connection communication methods are mutually backed up and the data is transmitted in encrypted form. It can also use LoRa gateway, with a transmission distance of ≥5km, supports 470MHz frequency band, and its anti-interference capability meets the EN 300 220 standard.

[0022] Voltage / current signals are synchronously sampled through a phase-locked loop (PLL) to eliminate phase errors; temperature and vibration data are polled at a period of 1 second, and switch to high-frequency acquisition at 100ms when abnormalities occur.

[0023] The local protection logic is as follows:

[0024] The weighting coefficients in the HI formula range (α = 0.4-0.6, β = 0.2-0.4, γ = 0.1-0.3).

[0025] Here: the weights α = 0.5 (tanδ), β = 0.3 (temperature rise), and γ = 0.2 (vibration) are based on the capacitor aging factor in IEEE C37.99-2000.

[0026] Inputs: Voltage V, Current I, Temperature T, Vibration spectrum F

[0027] HI=α*(Δtanδ)+β*(dT / dt)+γ*Σ(F[1k-10k])

[0028] If HI < 60% and the temperature rises by ≥ 5℃ / s, trigger a Level 1 alarm (SMS notification + local audible and visual alarm).

[0029] If HI < 40% or vibration energy exceeds the threshold, trigger secondary protection (block fault capacitor + GOOSE trip command).

[0030] The cloud-based simulation model receives the HI value from the edge layer and iteratively corrects the capacitance dielectric constant and thermal resistance parameters in reverse.

[0031] The calibrated model parameters are sent to the edge nodes to improve local diagnostic accuracy.

[0032] The cloud storage device 8 includes two sets of servers: a purchased server and an internal enterprise server, which serve as backups for each other.

[0033] The remote control device 9 includes a mobile phone for receiving notifications and a computer for controlling the device by deploying a lightweight AI model.

[0034] Example 2

[0035] Vibration sensor 4 has been changed to be directly mounted on the bottom of the capacitor (with a hole in the outer casing for lead wires);

[0036] The infrared thermal imager 3 is mounted on a rotatable bracket, with a horizontal rotation angle of ±30° and a vertical pitch angle of ±15°, to cover the top of the capacitor.

[0037] The remotely controlled computer functions to: run an LSTM prediction model, receive edge HI values, and generate a 72-hour fault probability curve.

[0038] This remote monitoring device for intelligent capacitor protection improves upon the previous system, which lacked real-time warnings for faults such as overvoltage and overcurrent, leading to the risk of capacitor breakdown or explosion. Manual inspections are costly and cannot predict potential faults such as insulation aging and abnormal temperature rise. Automated monitoring equipment can monitor the capacitor's operating status in real time and send timely warnings to the remote monitoring terminal when abnormal conditions are detected. The equipment can control automatic or manual disconnection, avoiding greater danger.

[0039] The foregoing has shown and described the basic principles, main features, and advantages of this utility model. It will be apparent to those skilled in the art that this utility model is not limited to the details of the exemplary embodiments described above, and that it can be implemented in other specific forms without departing from the spirit or basic characteristics of this utility model. Therefore, the embodiments should be considered exemplary and non-limiting in all respects. The scope of this utility model is defined by the appended claims rather than the foregoing description, and thus all variations falling within the meaning and scope of equivalents of the claims are intended to be included within this utility model. No reference numerals in the claims should be construed as limiting the scope of the claims.

[0040] Furthermore, it should be understood that although this specification describes embodiments, not every embodiment contains only one independent technical solution. This narrative style is merely for clarity. Those skilled in the art should consider the specification as a whole, and the technical solutions in each embodiment can also be appropriately combined to form other embodiments that can be understood by those skilled in the art.

Claims

1. A remote monitoring device for capacitive smart protection, characterized by: Its structure includes a local end and a remote monitoring end. The local end includes a grating sensor, an infrared thermal imager, a vibration sensor, a voltage and current transformer, a temperature and humidity composite sensor, and an edge intelligent processing unit. A metal sensor housing is placed next to the capacitor to be protected. The grating sensor and the infrared thermal imager are placed on the side of the sensor housing. The sensor housing and the capacitor to be protected are placed on the same plate. The vibration sensor and the voltage and current transformer are attached to the bottom of the inside of the sensor housing. The temperature and humidity composite sensor is suspended by a support rod. All sensors on the local end are connected to the edge intelligent processing unit. The edge intelligent processing unit is connected to the cloud storage device via 4G, 5G, and wired connections. The cloud storage device is connected to the remote control device via 4G, 5G, and wired connections.

2. A remote monitoring device for capacitive smart protection according to claim 1, characterized in that: The temperature and humidity composite sensor has a grid-like opening on the side of the sensor housing closest to it.

3. A remote monitoring device for capacitive smart protection according to claim 1, characterized in that: 4G, 5G, and wired communication methods serve as backups for each other, and data is transmitted using encryption.

4. A remote monitoring device for capacitive smart protection according to claim 1, characterized in that: The cloud storage device includes two sets of servers: a purchased server and an internal enterprise server, which serve as backups for each other.

5. A remote monitoring device for capacitive smart protection according to claim 1, characterized in that: The remote control device includes a mobile phone for receiving notifications and a computer for controlling the device by deploying a lightweight AI model.

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