An embedded state intelligent identification and monitoring device for power distribution panel
Patent Information
- Application Number
- CN202522320881.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-03
- Publication Date
- 2026-11-03
- Estimated Expiration
- 2035-11-03
AI Technical Summary
In existing technologies, the inspection of cabinets in the relay protection room and communication equipment room of wind farms relies on manual inspection, which has problems such as low efficiency, poor reliability, insufficient real-time performance and difficulty in managing historical data. In addition, sensor modification solutions are costly and have limited effectiveness.
Design an embedded intelligent status recognition and monitoring device, which uses a wide-angle camera, a ring light, an AI acceleration chip and a communication module. It is installed by magnetic or screw fixing to realize automatic recognition of indicator light and circuit breaker status and wireless data transmission.
It achieves 24/7 uninterrupted automatic inspection, with high identification accuracy, freeing up manpower, easy installation, avoiding human error, and real-time data upload, thus improving system reliability and management efficiency.
Smart Images
Figure CN224935439U_ABST
Abstract
Description
Technical Field
[0001] This utility model belongs to the field of power system automation and intelligent operation and maintenance technology, specifically relating to a new monitoring device based on embedded machine vision for automatically identifying the status of various cabinet panels in wind farm relay protection rooms and communication equipment rooms. Background Technology
[0002] In the central control room and protection room of the wind farm, a large number of relay protection panels, communication management panels, AC / DC power supply panels, etc. are densely installed. The panels of these panels are covered with indicator lights (operation, alarm, fault) and circuit breakers. The status of these components is the most direct basis for judging whether the system is operating normally.
[0003] Currently, the inspection of this type of equipment relies entirely on regular manual patrols. Maintenance personnel must check each cabinet one by one, visually observe the status of indicator lights, and manually record the data. This method has significant drawbacks: 1) High labor costs and low efficiency; 2) High subjectivity, prone to missed or incorrect diagnoses; 3) Inability to achieve real-time monitoring, with a time delay from the occurrence of a fault to its discovery; 4) Difficulty in electronic management and in-depth analysis of historical data.
[0004] While sensor-based retrofit solutions exist (such as adding photosensors to each indicator light), these require modifications to existing wiring, resulting in extensive engineering work, high costs, and an inability to identify indicator light colors and circuit breaker positions. Therefore, a non-invasive, easy-to-install, and highly intelligent alternative is urgently needed. Utility Model Content
[0005] This utility model aims to solve the problems of low efficiency, poor reliability, and insufficient real-time performance in manual inspection of cabinet status, and provides an embedded intelligent device that can automatically, in real time, and accurately identify the status of indicator lights and circuit breakers, and realize remote data transmission.
[0006] The above objectives are achieved through the following technical solutions: An embedded intelligent status recognition and monitoring device for power distribution cabinets includes a housing, an image acquisition module embedded in the front of the housing, and a main control circuit board inside. The main control circuit board integrates an embedded microprocessor, which is electrically connected to the image acquisition module and is used to control image acquisition. An image recognition unit, connected to the embedded microprocessor, is used to recognize the acquired images and determine the status of the indicator lights and circuit breakers; The communication module is used for data interaction with external monitoring systems.
[0007] The embedded intelligent status recognition and monitoring device for power distribution cabinets includes an image acquisition module that is a wide-angle camera, surrounded by a ring of adjustable brightness supplementary lights.
[0008] The embedded intelligent status recognition and monitoring device for power distribution cabinets has a strong magnet installed on the back of the housing, which can be installed by either adsorption or screw fixing.
[0009] The embedded intelligent status recognition and monitoring device for power distribution cabinets includes an image recognition unit that is an AI acceleration chip with a built-in lightweight neural network model for real-time recognition of the color and status of indicator lights in images.
[0010] The embedded intelligent status recognition and monitoring device for power distribution cabinets also includes a local storage module for caching images and recognition results for a certain period of time.
[0011] The embedded intelligent status identification and monitoring device for power distribution cabinets, wherein the communication module is one or more combinations of Wi-Fi module, 4G / 5G module or Ethernet interface. Beneficial effects
[0012] 1. This utility model enables 24 / 7 uninterrupted automatic inspection, completely freeing up manpower and relieving maintenance personnel from tedious and repetitive labor.
[0013] 2. The image data of this utility model is received by the microprocessor on the main control board and then processed by a dedicated AI image recognition unit (NPU). The recognition accuracy is high. The machine vision-based recognition avoids subjective errors of the human eye, and the accuracy can reach more than 99%, greatly improving reliability.
[0014] 3. This utility model requires no modification to the original wiring of the cabinet and can be quickly installed and deployed using magnetic attraction, which is convenient and safe. Attached Figure Description
[0015] Figure 1 : A three-dimensional structural diagram of the device of this utility model; Figure 2 : Internal hardware system diagram of the device of this utility model; Figure 3 : A schematic diagram of the image recognition process of this utility model; In the diagram: 1. Housing; 11. Strong magnet; 12. Image acquisition module; 13. Ring fill light; 14. Flame-retardant plastic housing; 2. Main control circuit board; 21. Image recognition unit; 22. Embedded microprocessor; 23. Storage module; 24. LED module; 25. Power supply module; 26. Communication module. Detailed Implementation
[0016] Reference Figures 1-3 An embedded intelligent status recognition and monitoring device for power distribution cabinets includes a housing 1, an image acquisition module 12 is embedded on the front of the housing 1, and a main control circuit board 2 is provided inside the housing 1. The main control circuit board 2 integrates an embedded microprocessor 22, which is electrically connected to the image acquisition module 12 and is used to control image acquisition. Image recognition unit 21, connected to the embedded microprocessor 22, is used to recognize the acquired images and determine the status of indicator lights and circuit breakers; Communication module 26 is used for data interaction with external monitoring systems.
[0017] The image acquisition module 12 is a wide-angle camera, and a ring of adjustable brightness fill lights 13 is provided around it.
[0018] A strong magnet 11 is installed on the back of the housing 1, which can achieve two installation methods: adsorption or screw fixing.
[0019] The image recognition unit 21 is an AI acceleration chip (NPU) with a built-in lightweight neural network model for real-time recognition of the color and status of indicator lights in images.
[0020] It also includes a local storage module 23, which is used to cache images and recognition results for a certain period of time.
[0021] The communication module 26 is one or more combinations of a Wi-Fi module, a 4G / 5G module, or an Ethernet interface.
[0022] The housing 1 is made of flame-retardant plastic, and its compact design facilitates deployment within space-constrained cabinets. A strong magnetic magnet 11 on the back of the housing ensures the device is securely attached to the metal frame of the cabinet. A wide-angle camera design ensures comprehensive coverage of the entire cabinet panel area. The ring-shaped supplementary light 13 uses a multi-level adjustable LED light source, automatically activating its supplementary lighting function in low-light environments. The main control board is equipped with an NPU chip running a pre-trained lightweight model (such as YOLO or CNN) specifically for the identification and monitoring of indicator lights and circuit breakers (circuit switches). The NPU chip running the pre-trained lightweight model (such as YOLO or CNN) is a form of existing technology; this device simply applies it. The identification and monitoring results are connected to the power plant's local area network via Wi-Fi and pushed to the monitoring backend in the form of MQTT protocol messages. Maintenance personnel can view a real-time panoramic view of the status of all cabinets and historical change curves via computer or mobile terminal.
[0023] The device is a standalone hardware unit, easily installed on the top or side of the monitoring cabinet via magnetic or screw fastening. Its core is an image acquisition system integrating a wide-angle camera and a ring light, ensuring clear, shadowless images even under ambient lighting conditions in the equipment room. Image data is received by the microprocessor on the main control board and processed by a dedicated AI image recognition unit (NPU). This unit's built-in algorithm model accurately identifies the color (red, green, yellow) and status (on, off, flashing) of each indicator light in the image, as well as the open / closed position of each circuit breaker. The identification results are uploaded in real-time to the wind farm's existing monitoring system via a communication module. Upon detecting an abnormal state (such as a fault red light illuminating), an alarm is immediately triggered.
Claims
1. An embedded intelligent status identification and monitoring device for power distribution cabinets, comprising a housing, characterized in that: An image acquisition module is embedded in the front of the housing, and a main control circuit board is installed inside. The main control circuit board integrates an embedded microprocessor, which is electrically connected to the image acquisition module and is used to control image acquisition. An image recognition unit, connected to the embedded microprocessor, is used to recognize the acquired images and determine the status of the indicator lights and circuit breakers; The communication module is used for data interaction with external monitoring systems.
2. The embedded intelligent status identification and monitoring device for power distribution cabinets according to claim 1, characterized in that: The image acquisition module is a wide-angle camera, surrounded by a ring of adjustable brightness fill lights.
3. The embedded intelligent status identification and monitoring device for power distribution cabinets according to claim 2, characterized in that: A strong magnet is installed on the back of the housing, which can be installed by either adsorption or screw fixing.
4. The embedded intelligent status identification and monitoring device for power distribution cabinets according to claim 3, characterized in that: The image recognition unit is an AI acceleration chip with a built-in lightweight neural network model, used to identify the color and status of indicator lights in images in real time.
5. An embedded intelligent status identification and monitoring device for power distribution cabinets according to claim 4, characterized in that: It also includes a local storage module for caching images and recognition results for a certain period of time.
6. An embedded intelligent status identification and monitoring device for power distribution cabinets according to claim 5, characterized in that: The communication module is one or more combinations of a Wi-Fi module, a 4G / 5G module, or an Ethernet interface.