Intelligent power distribution environment monitoring sampling device
The intelligent power distribution environment monitoring device, which integrates sampling and monitoring units and edge computing modules, solves the data silo problem of traditional power distribution cabinets, realizes real-time monitoring and early fire warning, and improves the intelligence and reliability of the system.
Patent Information
- Application Number
- CN202510959068.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-11
- Publication Date
- 2025-10-31
Smart Images

Figure CN120872061A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of power distribution environment monitoring technology, specifically to an intelligent power distribution environment monitoring sampling device. Background Technology
[0002] Distribution cabinets are a general term for motor control centers. Distribution cabinets are used in situations where the load is relatively dispersed and there are fewer circuits, while motor control centers are used in situations where the load is concentrated and there are more circuits. Many factors need to be monitored in the distribution cabinet room.
[0003] Traditional monitoring devices use independent sensor units, resulting in severe data silos. They can only monitor temperature at a single point and cannot construct a three-dimensional temperature field inside the cabinet. Switch mechanical condition diagnosis relies on regular manual maintenance, requiring disassembly of the switch to measure contact wear. Fire early warning response is delayed, and smoke sensors require a smoke concentration of 65dB / m³ to trigger an alarm. Partial discharge detection requires an external high-frequency CT. Summary of the Invention
[0004] The purpose of this invention is to overcome the shortcomings of the prior art and provide an intelligent power distribution environment monitoring and sampling device to solve the problems mentioned in the background art.
[0005] A smart power distribution environment monitoring and sampling device, comprising:
[0006] The sampling and monitoring unit is used to collect various parameter signals of the power distribution environment in real time. The parameter signals include at least the status parameters of the UPS battery pack, the temperature and humidity parameters of the computer room, the operating status parameters of the fresh air system, the concentration parameters of harmful gases, the electrical parameters of the power distribution cabinet, the illegal intrusion detection signal, the operating parameters of the precision air conditioner, the water leakage detection signal of the computer room, and the fire monitoring signal.
[0007] The server is connected to the sampling and monitoring unit via a wired network communication link, and is used to receive and process various types of parameter signal data collected by the sampling and monitoring unit.
[0008] The display platform is connected to the server and is used to receive and visualize the environmental monitoring data, early warning information and historical records processed by the server.
[0009] Preferably, the sampling monitoring unit includes:
[0010] The UPS battery monitoring unit is used to monitor battery voltage, current, internal resistance, temperature, and charging / discharging status.
[0011] The computer room temperature and humidity monitoring unit is used to monitor the temperature and humidity values at different locations within the computer room.
[0012] The fresh air system monitoring unit is used to monitor the start-up and shutdown status, operating mode, and air quality parameters of the fresh air unit;
[0013] Hazardous gas monitoring unit, used to monitor the concentration of specific hazardous gases in the computer room;
[0014] The power distribution cabinet monitoring unit is used to monitor the input / output voltage, current, power, power factor, electrical energy, and switch status of the power distribution cabinet.
[0015] The unauthorized intrusion monitoring unit is used to receive intrusion alarm signals from access control, infrared detection, or video analysis devices.
[0016] The precision air conditioning monitoring unit is used to monitor the supply / return air temperature and humidity, compressor status, fan status, humidification / dehumidification status, and alarm information of the air conditioner.
[0017] The computer room water leakage monitoring unit is used to detect water immersion under the floor or in specific areas of the computer room;
[0018] And a fire monitoring unit, used to receive fire alarm signals and fire equipment status signals from fire detectors or fire control panels.
[0019] Preferably, the server has a built-in edge computing module.
[0020] Preferably, the server has a built-in multi-level early warning module.
[0021] Preferably, the server has a built-in data recording module.
[0022] Preferably, the server's communication protocols support Modbus RTU / TCP, IEC 61850MMS, and SNMPv3.
[0023] The beneficial effects of this invention are as follows: This invention achieves real-time and collaborative acquisition of key parameters of the power distribution environment through a highly integrated sampling and monitoring unit, completely breaking down the data silos formed by traditional independent sensors. The server's built-in edge computing module performs on-site real-time cleaning, fusion, and in-depth analysis of multi-source heterogeneous data. Combined with a multi-level early warning mechanism, it significantly improves the system's intelligence level, enabling the construction of a three-dimensional temperature field in the computer room for precise temperature control. It also allows for online diagnosis of switch mechanical status without relying on manual disassembly and maintenance, greatly improving the fire early warning response speed. It breaks through the traditional 65dB / m concentration limit of smoke sensors to achieve early alarms and can directly support high-frequency CT access to achieve partial discharge detection without additional peripherals. At the same time, the server's powerful data recording module ensures the complete storage and traceability of historical data, and it is widely compatible with Modbus RTU / TCP, IEC61850MMS, and SNMP. Mainstream industrial communication protocols such as v3 ensure seamless integration with existing power monitoring systems. Ultimately, all processing results, early warning information, and historical records are presented intuitively and visually through the display platform, providing maintenance personnel with a comprehensive and dynamic view of the environment and equipment status, as well as precise decision support. This effectively prevents faults, shortens fault response time to the second level, significantly reduces maintenance costs, and comprehensively improves the reliability, safety, and intelligent management level of the power distribution system. Attached Figure Description
[0024] Figure 1 This is a schematic diagram of the overall invention.
[0025] In the diagram: 101-Sampling monitoring unit, 101-UPS battery pack monitoring unit, 102-Computer room temperature and humidity monitoring unit, 103-Fresh air system monitoring unit, 104-Harmful gas monitoring unit, 105-Power distribution cabinet monitoring unit, 106-Illegal intrusion monitoring unit, 107-Precision air conditioning monitoring unit, 108-Computer room water leakage monitoring unit, 109-Fire monitoring unit, 200-Server, 300-Display platform. Detailed Implementation
[0026] To better understand the purpose, structure, and function of this invention, the following detailed description of an intelligent power distribution environment monitoring and sampling device is provided in conjunction with the accompanying drawings.
[0027] Please see Figure 1 A smart power distribution environment monitoring and sampling device, comprising:
[0028] Sampling and monitoring unit 101 is used to collect various parameter signals of the power distribution environment in real time. These parameter signals include at least the status parameters of the UPS battery pack, the temperature and humidity parameters of the computer room, the operating status parameters of the fresh air system, the concentration parameters of harmful gases, the electrical parameters of the power distribution cabinet, illegal intrusion detection signals, precision air conditioning operating parameters, computer room water leakage detection signals, and fire monitoring signals. The sampling and monitoring unit 101 includes:
[0029] The UPS battery monitoring unit 101 is used to monitor the battery voltage, current, internal resistance, temperature and charging / discharging status.
[0030] The computer room temperature and humidity monitoring unit 102 is used to monitor the temperature and humidity values at different locations within the computer room.
[0031] The fresh air system monitoring unit 103 is used to monitor the start-up and shutdown status, operating mode and air quality parameters of the fresh air unit;
[0032] The hazardous gas monitoring unit 104 is used to monitor the concentration of specific hazardous gases in the computer room;
[0033] The power distribution cabinet monitoring unit 105 is used to monitor the input / output voltage, current, power, power factor, electrical energy and switch status of the power distribution cabinet.
[0034] The unauthorized intrusion monitoring unit 106 is used to receive intrusion alarm signals from access control, infrared detection, or video analysis devices.
[0035] The precision air conditioning monitoring unit 107 is used to monitor the supply / return air temperature and humidity, compressor status, fan status, humidification / dehumidification status and alarm information of the air conditioner;
[0036] The computer room water leakage monitoring unit 108 is used to detect water immersion under the floor of the computer room or in specific areas.
[0037] The fire monitoring unit 109 is used to receive fire alarm signals and fire equipment status signals from fire detectors (smoke detectors, heat detectors, or fire control panels). It is used to monitor the cabinet's health status in real time, including internal temperature and humidity, arcing, partial discharge, and infrared temperature field. It can also monitor the health status of switches (ACB / VCB) within the cabinet in real time, including core components (opening and closing coils, energy storage motors), contact temperature, and operational accuracy. Artificial intelligence and feature engineering methods are used to automatically identify key equipment parameters, enabling online detection and analysis of the cabinet and switch health from multiple dimensions. Related algorithms, combined with large-scale operational data of similar equipment and measured data from specific sensing objects, allow for local equipment status analysis. The partial discharge principle requires the use of ultrasound. The device employs a wave detection method and features a partial discharge anomaly alarm function. It monitors smoke data in medium-voltage switchgear in real time, enabling the monitoring of six types of gas particle sizes and providing fire smoke anomaly alarm functions. It also features time-series recording capabilities, including monitoring events and alarm events, and event waveform recording capabilities, including event waveform recording and monitoring waveform recording. With a storage capacity of 512G, it has the function of recording core component data, including electrical parameter curves, daily temperature curves, historical temperature curves, and partial discharge records. The electrical equipment situational awareness device can display, but is not limited to, all of the above functions, all monitored content, recorded content, alarm status, etc. It can transmit the monitored and analyzed information to the backend via protocols such as Modbus.
[0038] Server 200 is connected to the sampling and monitoring unit 101 via a wired network communication link. It is used to receive and process multi-type parameter signal data collected by the sampling and monitoring unit 101. Server 200 has a built-in edge computing module, a built-in multi-level early warning module, and a built-in data recording module. The communication protocols of server 200 support Modbus RTU / TCP, IEC 61850MMS, and SNMP v3.
[0039] The display platform 300, communicatively connected to the server 200, receives and visualizes the environmental monitoring data, early warning information, and historical records processed by the server 200. This invention achieves real-time, collaborative acquisition of key parameters of the power distribution environment through a highly integrated sampling and monitoring unit, completely breaking down data silos formed by traditional independent sensors. The server 200's built-in edge computing module performs on-site real-time cleaning, fusion, and in-depth analysis of multi-source heterogeneous data. Combined with a multi-level early warning mechanism, it significantly improves the system's intelligence level, enabling precise temperature control by constructing a three-dimensional temperature field in the computer room, online diagnosis of switch mechanical status without relying on manual disassembly and maintenance, and a significantly improved fire early warning response speed. It breaks through the traditional 65dB / m³ smoke sensor concentration limit to achieve early alarms and can directly support high-frequency CT access for partial discharge detection without additional peripherals. Simultaneously, the server's powerful data recording module ensures complete storage and traceability of historical data, and it is widely compatible with Modbus RTU / TCP, IEC 61850MMS, and SNMP. Mainstream industrial communication protocols such as v3 ensure seamless integration with existing power monitoring systems. Ultimately, all processing results, early warning information, and historical records are presented intuitively and visually through the 300 display platform, providing maintenance personnel with a comprehensive and dynamic view of the environment and equipment status, as well as precise decision support. This effectively prevents faults, shortens fault response time to the second level, significantly reduces maintenance costs, and comprehensively improves the reliability, safety, and intelligent management level of the power distribution system.
[0040] Finally, it should be noted that the above descriptions are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.
Claims
1. An intelligent power distribution environment monitoring and sampling device, characterized in that, include: The sampling and monitoring unit (101) is used to collect various parameter signals of the power distribution environment in real time. The parameter signals include at least the status parameters of the UPS battery pack, the temperature and humidity parameters of the computer room, the operating status parameters of the fresh air system, the concentration parameters of harmful gases, the electrical parameters of the power distribution cabinet, the illegal intrusion detection signal, the operating parameters of the precision air conditioner, the water leakage detection signal of the computer room, and the fire monitoring signal. The server (200) is connected to the sampling and monitoring unit (101) via a wired network communication link, and is used to receive and process multi-parameter signal data collected by the sampling and monitoring unit (101); The display platform (300) is communicatively connected to the server (200) and is used to receive and visualize the environmental monitoring data, early warning information and historical records processed by the server (200).
2. The intelligent power distribution environment monitoring and sampling device according to claim 1, characterized in that, The sampling monitoring unit (101) includes: The UPS battery monitoring unit (101) is used to monitor the battery voltage, current, internal resistance, temperature and charging / discharging status. The computer room temperature and humidity monitoring unit (102) is used to monitor the temperature and humidity values at different locations in the computer room; The fresh air system monitoring unit (103) is used to monitor the start-up and shutdown status, operating mode and air quality parameters of the fresh air unit; A hazardous gas monitoring unit (104) is used to monitor the concentration of specific hazardous gases in the computer room; The power distribution cabinet monitoring unit (105) is used to monitor the input / output voltage, current, power, power factor, energy and switch status of the power distribution cabinet. An illegal intrusion monitoring unit (106) is used to receive intrusion alarm signals from access control, infrared detection, or video analysis devices; The precision air conditioning monitoring unit (107) is used to monitor the supply / return air temperature and humidity, compressor status, fan status, humidification / dehumidification status and alarm information of the air conditioner; The computer room water leakage monitoring unit (108) is used to detect water immersion under the floor of the computer room or in a specific area; And a fire monitoring unit (109) for receiving fire alarm signals and fire equipment status signals from fire detectors (smoke detectors, heat detectors) or fire control panels.
3. The intelligent power distribution environment monitoring and sampling device according to claim 1, characterized in that: The server (200) has a built-in edge computing module.
4. The intelligent power distribution environment monitoring and sampling device according to claim 1, characterized in that: The server (200) has a built-in multi-level early warning module.
5. The intelligent power distribution environment monitoring and sampling device according to claim 1, characterized in that: The server (200) has a built-in data recording module.
6. The intelligent power distribution environment monitoring and sampling device according to claim 1, characterized in that: The communication protocols of the server (200) support Modbus RTU / TCP, IEC 61850MMS and SNMP v3.