A power distribution district intelligent monitoring method and system

Abstract

The present application belongs to the technical field of intelligent monitoring of power systems, and particularly relates to a power distribution area intelligent monitoring method and system. The present application realizes multi-dimensional data fusion collection by deploying three types of sensing terminals, namely thermal imaging cameras, industrial auscultation monitoring equipment and intelligent fire monitoring and extinguishing devices, in the area. The thermal imaging cameras realize real-time monitoring of external hazards of transformers based on infrared temperature measurement and AI image analysis. The industrial auscultation monitoring equipment can realize accurate early warning of hidden defects. The intelligent fire monitoring and extinguishing device integrates environmental sensors and automatically triggers the spraying of fire extinguishing agents. The system develops a smart monitoring APP based on the containerized architecture of the area intelligent fusion terminal, which can realize hidden danger closed-loop management. The present application greatly reduces the frequency of manual inspection, avoids power loss caused by fault expansion, significantly improves the fault discovery rate and disposal timeliness of the power distribution area, and effectively guarantees the power supply reliability and safe operation of equipment.

Description

Technical Field

[0001] This invention belongs to the field of intelligent monitoring technology for power systems, and particularly relates to a method and system for intelligent monitoring of distribution substations. Background Technology

[0002] In recent years, with the rapid development of the social economy and the expansion of urban construction, the electricity load has continued to rise, and the power supply reliability of the power distribution network directly affects people's livelihood and the reputation of power companies.

[0003] As a critical node in the power distribution network, the operational reliability and security of distribution substations are crucial factors in ensuring high power supply stability. However, due to the numerous and widely distributed locations of these substations, traditional manual inspections are insufficient to achieve stable and comprehensive coverage. Furthermore, it is difficult to promptly detect and address potential faults. This reactive approach to maintenance and repair of scattered faults plagues maintenance management departments and negatively impacts power supply reliability indicators. Therefore, conducting necessary equipment and operational status monitoring of distribution substations and other distribution nodes, and promptly identifying potential equipment problems and external damage risks, can proactively address these issues and significantly improve the reliability of the power distribution network.

[0004] Currently, the potential hazards in the distribution radio area include: (1) The transformer has a series of internal hidden dangers such as inter-turn short circuit and deterioration of insulating oil, which leads to its operation with defects; (2) The transformer has chronic oil leakage caused by pinholes in the oil tank or poor welding; (3) Temperature rise caused by transformer overload, extreme three-phase imbalance, poor joint contact, etc.; (4) Loose or aging internal nodes of the distribution box equipment, component failure, conductor overcurrent, and construction process problems may indirectly lead to fire hazards.

[0005] Therefore, there is an urgent need for a monitoring and solution to address the problems of internal transformer hazards, abnormal temperature rise, and fire risks caused by insufficient manual inspection coverage in existing distribution transformer areas. Summary of the Invention

[0006] To address the shortcomings of the existing technologies, this invention provides a smart monitoring method and system for distribution transformer substations. Its purpose is to solve the problems of numerous and widely distributed distribution transformer substations, making it difficult to achieve stable and comprehensive coverage through traditional manual inspections, and hindering the timely detection and handling of potential faults.

[0007] The technical solution adopted by the present invention to achieve the above objectives is as follows: A method for intelligent monitoring of distribution radio areas includes: The system initializes, the smart monitoring APP for the distribution area starts up and establishes communication connections with each sensor terminal; A thermal imaging camera was used to measure the temperature of the transformer across the entire screen, and the oil leakage was analyzed and identified. The system collects operating acoustic patterns of transformers and collects real-time audio waveforms as needed. The online sensing, diagnostic, and early warning system monitors and collects internal environmental parameters of the equipment in real time. The smart monitoring APP for the distribution area is used to analyze the collected multi-dimensional data. When an anomaly is detected, an early warning message is generated and uploaded to the main operation monitoring station. The main monitoring station establishes digital health status files for equipment based on monitoring data and early warning information, and displays and issues early warnings. After the anomaly is handled, the system records the handling results and updates the equipment health status, thus achieving closed-loop management of potential hazards.

[0008] Furthermore, the aforementioned smart monitoring APP for the distribution area is used to collect data from monitoring equipment and connects to the thermal imaging camera via Ethernet communication; it is also used for transmitting data via hypertext. protocol The HTTP protocol is used for data exchange, and is also used for arming and monitoring transformer oil leakage and abnormal temperature rise events. The arming and monitoring results are sent to the intelligent fusion terminal via HTTP long connection.

[0009] Furthermore, the thermal imaging camera is an AI-powered dual-spectrum infrared camera, used for online remote monitoring and early warning of the device's full-screen temperature measurement, automatic inspection, abnormal alarm, temperature analysis, and expert diagnosis functions.

[0010] Furthermore, the process of collecting the operating acoustic signature of the transformer and collecting real-time audio waveforms on demand is carried out using industrial auscultation monitoring equipment. This industrial auscultation monitoring equipment consists of an ultrasonic probe connected to an industrial auscultation equipment algorithm module or an intelligent industrial audio algorithm module.

[0011] Furthermore, the industrial auscultation equipment algorithm module is powered by an AC power adapter and connected to an ultrasonic probe via an audio interface. The ultrasonic probe is installed on the surface of the transformer in the substation area. The ultrasonic probe is used to monitor the transformer's acoustic signature data in real time and transmits it to the industrial auscultation equipment algorithm module via an audio cable. The industrial auscultation equipment algorithm module supports the access of multiple ultrasonic probes and analyzes the collected acoustic signature information in real time by comparing it with a sample library using an AI algorithm, thereby determining the abnormal partial discharge situation inside the transformer.

[0012] A smart monitoring system for a power distribution area includes: Thermal imaging camera: It adopts an AI version of dual-spectrum infrared camera, which connects to the intelligent fusion terminal through an RJ45 interface, uses the HTTP protocol for data interaction, and the message format adopts JSON format; Industrial auscultation monitoring equipment: It consists of an ultrasonic probe and an industrial auscultation monitoring equipment algorithm module, and connects to an intelligent fusion terminal via RJ45 and RS485 interfaces; it periodically collects acoustic frequency, gain and fault status parameters; it supports HTTP request acquisition of real-time audio waveforms and performs AI fault analysis via Ethernet channel; Online sensing, diagnostic and early warning system: includes edge computing monitoring host, intelligent sensing terminal and fire extinguishing device, connected to intelligent fusion terminal through RS485 interface, and uses Modbus-RTU protocol to obtain ion status information; when the pyroelectric ion concentration, temperature and smoke concentration are detected to exceed the preset threshold at the same time, the fire extinguishing device is automatically triggered to spray fire extinguishing. Intelligent converged terminal: Equipped with a 4G module and an Ethernet module, running the smart monitoring APP for the distribution area; it communicates with the main monitoring station through the 4G network of the remote communication module; the smart monitoring APP for the distribution area isolates and operates different application areas independently, realizing the fusion collection and edge computing processing of multi-dimensional data; Operation monitoring master station: Establishes a long-term TCP connection with the intelligent converged terminal through the 4G network; the intelligent converged terminal converts the collected sensor information into 698.45 protocol for storage and uploads it to the operation monitoring master station, and simultaneously uploads images and audio files via FTP protocol.

[0013] A smart monitoring device for a distribution transformer area, used in any one of the smart monitoring methods for a distribution transformer area, comprising: The initial module is used for system initialization, enabling the smart monitoring APP of the distribution area to start and establish communication connections with each sensor terminal. The analysis module is used to perform full-screen temperature measurement of the transformer using a thermal imaging camera and to analyze and identify oil leakage. The audio waveform acquisition module is used to collect the operating acoustic patterns of the transformer and to acquire real-time audio waveforms as needed. The environmental parameter acquisition module is used by the online sensing, diagnostic, and early warning system to monitor and acquire the internal environmental parameters of the equipment in real time. The analysis and early warning module is used to analyze the collected multi-dimensional data using the smart monitoring APP of the distribution area. When an anomaly is detected, it generates an early warning message and uploads it to the main monitoring station. The file creation module is used by the main monitoring station to create digital health status files for equipment based on monitoring data and early warning information, and to display and issue early warnings. The handling module is used to record the handling results and update the equipment health status after the anomaly is handled, so as to realize closed-loop management of potential hazards.

[0014] Furthermore, the initial module is used for system initialization, enabling the smart monitoring APP of the transformer substation to start and establish communication connections with each sensor terminal. The smart monitoring APP of the transformer substation is used to collect data from monitoring equipment and connect to the thermal imaging camera via Ethernet communication. It is also used for data interaction via the Hypertext Transfer Protocol (HTTP) and for arming and monitoring transformer oil leakage and abnormal temperature rise events. The arming and monitoring results are sent to the intelligent fusion terminal via HTTP long connection.

[0015] A computer device includes a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor, wherein the processor executes the computer program to implement the steps of any of the intelligent monitoring methods for distribution radio areas.

[0016] A computer storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the steps of any of the intelligent monitoring methods for distribution radio areas.

[0017] The present invention has the following beneficial effects and advantages: 1. By using the AI ​​image analysis function of the thermal imaging camera, the automatic identification of abnormal external temperature rise and potential oil leakage hazards of the transformer is realized. Compared with traditional manual inspection, the fault detection rate is improved and the inspection frequency is reduced. 2. By using the deep learning model of industrial auscultation monitoring equipment, early warning of hidden defects such as inter-turn short circuits and insulation deterioration inside transformers is realized. The warning accuracy is high, effectively avoiding power outage losses caused by the expansion of faults. 3. Through the detection of pyroelectric ion concentration in the online sensing, diagnosis and early warning system, an early warning of electrical fires is achieved, which can sound an alarm before the visual smoke is generated, and the fire warning time is more than 30 minutes in advance; 4. Through the containerized architecture of the intelligent fusion terminal and the smart monitoring APP for the transformer area, the effective integration and edge computing processing of multi-dimensional data such as fire protection, soundprint, and video have been achieved, improving data transmission efficiency by 50% and shortening the system response time to less than 5 seconds; 5. Through the integrated application of three types of sensor terminals, the first-ever full-dimensional monitoring of internal transformer hazards (soundprint), external temperature rise (thermal imaging), and fire risk (fire protection) has been achieved, significantly improving the comprehensiveness of hazard coverage and greatly reducing operation and maintenance costs.

[0018] This invention achieves multi-dimensional data fusion and acquisition by deploying three types of sensing terminals in the transformer substation area: thermal imaging cameras, industrial auscultation monitoring equipment, and intelligent fire monitoring and extinguishing devices. The thermal imaging cameras, based on infrared temperature measurement and AI image analysis, monitor abnormal temperatures of the transformer casing and external nodes in real time and identify potential oil leakage hazards. The industrial auscultation monitoring equipment collects the sound patterns of equipment operation through high-sensitivity microphones and compares them with an internal fault feature library using a deep learning model to provide accurate early warnings of hidden defects such as inter-turn short circuits and insulation degradation. The intelligent fire monitoring and extinguishing device integrates environmental sensors and automatically triggers the spraying of extinguishing agents when the temperature and smoke concentration inside the equipment simultaneously exceed preset thresholds. The system develops a smart monitoring APP based on the containerized architecture of the intelligent fusion terminal in the transformer substation area. This APP performs multi-source fusion and edge computing processing on fire protection, sound pattern, and video data, and uploads it uniformly to the monitoring main station platform, achieving closed-loop management of hazard "monitoring-early warning-response."

[0019] This invention significantly reduces the frequency of manual inspections, avoids power outage losses due to escalating faults, and substantially reduces operation and maintenance costs. It significantly improves the fault detection rate and timeliness of distribution transformer substations, effectively ensuring power supply reliability and safe equipment operation. It is suitable for real-time monitoring of power distribution equipment status and proactive handling of potential hazards. Attached Figure Description

[0020] The above and / or additional aspects and advantages of the present invention will become apparent and readily understood from the description of the embodiments taken in conjunction with the following drawings, in which: Figure 1 This is a flowchart of the method of the present invention; Figure 2 This is a schematic diagram of the structure of a smart monitoring system for a distribution radio area according to the present invention; Figure 3 This is a schematic diagram of the specific connection relationship of the system of the present invention. Detailed Implementation

[0021] To better understand the above-mentioned objectives, features, and advantages of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be noted that, unless otherwise specified, the embodiments and features described in these embodiments can be combined with each other.

[0022] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and therefore the scope of protection of the invention is not limited to the specific embodiments disclosed below.

[0023] The following reference Figures 1-3 The technical solutions of some embodiments of the present invention are described below.

[0024] Example 1

[0025] This invention provides an embodiment of a smart monitoring method for distribution radio areas. For example... Figure 1 As shown, Figure 1 This is a flowchart of the method of the present invention. The present invention includes the following steps: Step 1. System initialization: The smart monitoring APP for the distribution area starts and establishes communication connections with each sensor terminal; Step 2. The thermal imaging camera performs full-screen temperature measurement on the transformer, collecting temperature data every 5 minutes, and at the same time, the AI ​​algorithm analyzes and identifies the oil leakage situation. Step 3. The industrial auscultation monitoring equipment collects the sound pattern of the transformer operation through a high-sensitivity microphone, collecting the sound pattern characteristic parameters every 5 minutes, and collecting real-time audio waveforms as needed; Step 4. The online sensing, diagnostic and early warning system monitors the internal pyroelectric ion concentration, temperature and smoke concentration of the equipment in real time, and collects environmental parameters every 5 minutes; Step 5. The smart monitoring APP of the distribution area analyzes the collected multi-dimensional data. When an anomaly is detected, such as an abnormal increase in temperature or a particle concentration greater than the normal value, an early warning message is generated and uploaded to the main monitoring station via the 4G network. Step 6. Run the monitoring master station to establish a digital health status profile for the equipment, visually display monitoring data and early warning information, and allow maintenance personnel to take action based on the early warning information; Step 7. After the handling is completed, the system records the handling results and updates the equipment health status to achieve closed-loop management of potential hazards.

[0026] Example 2

[0027] This invention provides another embodiment, which is a smart monitoring system for a distribution radio area. For example... Figure 2 and Figure 3 As shown, Figure 2 This is a schematic diagram of the structure of a smart monitoring system for a distribution radio area according to the present invention. Figure 3 This is a schematic diagram of the specific connection relationship of the system of the present invention.

[0028] The smart monitoring APP for the transformer area connects to the thermal imaging camera via Ethernet communication; it is used for data interaction via the Hypertext Transfer Protocol (HTTP), and is also used for arming and monitoring transformer oil leakage and abnormal temperature rise events, and sends the arming and monitoring results to the smart fusion terminal via HTTP long connection.

[0029] The smart monitoring APP for the transformer area is an embedded software running in the intelligent fusion terminal, used to collect data from monitoring equipment; The thermal imaging camera includes an AI-powered dual-spectrum infrared camera. This camera is used for online remote monitoring and early warning of functions such as full-screen temperature measurement, automatic inspection, anomaly alarms, temperature analysis, and expert diagnosis. The industrial auscultation monitoring equipment consists of an ultrasonic probe connected to an industrial auscultation equipment algorithm module or an intelligent industrial audio algorithm module.

[0030] The industrial auscultation equipment algorithm module is powered by an AC power adapter and connects to the ultrasonic probes via an audio interface. The ultrasonic probes are mounted on the surface of the transformer in the transformer substation. The ultrasonic probes can monitor the transformer's acoustic signature data in real time and transmit it to the industrial auscultation equipment algorithm module via an audio cable. The industrial auscultation equipment algorithm module supports multiple ultrasonic probe connections. Based on AI algorithms and comparisons with a sample library, it analyzes the collected acoustic signature information in real time to determine abnormal conditions such as partial discharge inside the transformer.

[0031] The system of this invention specifically includes the following components and their connection relationships: 1. Thermal Imaging Camera: Employs an AI-powered dual-spectrum infrared camera, connecting to the intelligent fusion terminal via an RJ45 interface. Data exchange is conducted using the HTTP protocol, with message formatting in JSON format. The thermal imaging camera enables functions such as full-screen temperature measurement, automatic inspection, anomaly alarms, temperature analysis, and expert diagnostics.

[0032] 2. Industrial Auscultation Monitoring Equipment: Composed of an ultrasonic probe and an industrial auscultation monitoring equipment algorithm module, it connects to the intelligent fusion terminal via RJ45 and RS485 interfaces (9600bps, 8N1). It collects acoustic frequency, gain, and fault status parameters every 5 minutes via the RS485 channel using the Modbus-RTU protocol; and supports real-time audio waveform acquisition via HTTP requests through the Ethernet channel for AI fault analysis.

[0033] 3. Online Sensing, Diagnostic, and Early Warning System: This system includes an edge computing monitoring host, intelligent sensing terminals, and fire extinguishing devices. It connects to the intelligent fusion terminal via an RS485 interface (9600bps) and uses the Modbus-RTU protocol to acquire information such as ion concentration, temperature, and alarm status. When the pyrochemical ion concentration, temperature, and smoke concentration simultaneously exceed preset thresholds, the system automatically triggers the thermal aerosol fire extinguishing device to spray and extinguish the fire.

[0034] The fire extinguishing device includes: a thermal aerosol fire extinguishing device.

[0035] 4. Intelligent Converged Terminal: Equipped with a 4G module and an Ethernet module, running the Smart Monitoring APP for the Distribution Area. The Smart Monitoring APP uses a containerized architecture to isolate and operate different application areas independently, enabling the fusion collection and edge computing processing of multi-dimensional data such as fire protection, soundprints, and video.

[0036] 5. Operation Monitoring Master Station: Establishes a long-term TCP connection with the intelligent converged terminal via the 4G network. The intelligent converged terminal converts the collected sensor information into 698.45 protocol data for storage and uploads it to the operation monitoring master station. It also uploads images and audio files via FTP protocol. The operation monitoring master station establishes digital health status profiles for the devices, visually displaying monitoring data and early warning information.

[0037] The functions of the smart monitoring APP for the transformer area include: 1. It interacts with thermal imaging cameras via the HTTP protocol, supporting the deployment and monitoring of transformer oil leakage and abnormal temperature rise events; 2. It interacts with industrial auscultation monitoring equipment via Modbus-RTU and HTTP protocols, supporting voiceprint data acquisition and AI fault analysis; 3. Interact with the online sensing, diagnostic, and early warning system via the Modbus-RTU protocol to obtain environmental parameters and alarm status; 4. Upload the collected multi-dimensional data to the main operation monitoring station to achieve closed-loop management of potential hazards.

[0038] The intelligent converged terminal communicates with the operation monitoring master station via the 4G network of the remote communication module; The online sensing, diagnostic, and early warning system includes an edge computing monitoring host, intelligent sensing terminals, and a thermal aerosol fire extinguishing device. The intelligent sensing terminals are laser particle sensors. The intelligent sensing terminals are connected to the edge computing monitoring host via a dedicated cable based on two-bus technology. This cable powers the intelligent sensing terminals and transmits particle concentration, temperature, and smoke concentration data to the edge computing monitoring host. The thermal aerosol fire extinguishing device is connected to the edge computing monitoring host via a relay alarm output (terminals 4 and 5, DC 24V). The edge computing monitoring host controls the thermal aerosol fire extinguishing device to perform fire extinguishing operations.

[0039] The functions of the edge computing monitoring host include: 1. Used to receive signals such as ambient temperature, microparticles, and smoke from intelligent sensing terminals; 2. The LCD displays fault addresses and alarm information in full Chinese color. 3. Built-in large-capacity data storage device, which can classify and record fault, alarm and other information; 4. It has the function of querying fault and alarm information.

[0040] Intelligent sensing terminal: It adopts laser particle sensor technology to collect microparticles inside the power distribution cabinet with high precision, while monitoring the ambient temperature and smoke concentration.

[0041] The thermal aerosol fire extinguishing device can quickly activate and extinguish a fire when a fire occurs inside the power distribution cabinet by receiving a linkage signal from the edge computing monitoring host.

[0042] This invention addresses the potential risks of abnormal temperature rise and oil leakage in transformer substations. It utilizes an AI-powered dual-spectrum infrared camera for online detection, enabling full-screen temperature measurement, automatic inspection, anomaly alarms, temperature analysis, and expert diagnosis. This alerts monitoring personnel to hidden defects, helping on-site maintenance staff proactively address potential issues and prevent them from escalating into malfunctions. For oil leakage, this invention employs a positive-sample multi-point image comparison algorithm. Using images without oil leakage as positive samples, it compares and analyzes images from multiple locations—the transformer body, frame, control box, and ground projection—to identify oil leakage. For transformer substation scenarios, a suitable ultrasonic probe is used based on the detection object and installation location. Combined with a multi-channel edge analysis gateway for fault analysis and an AI platform, this forms a comprehensive solution enabling timely alarm notifications and remote inspections.

[0043] For fire monitoring and extinguishing scenarios in transformer substations, an online sensing, diagnostic, and early warning system is employed. Intelligent sensing terminals detect the concentration of pyroelectric ions inside the equipment. The edge computing monitoring host uses internal logic to determine if the ion concentration exceeds the standard. If the concentration exceeds the standard, the edge computing monitoring host sends a pre-alarm message to the intelligent fusion terminal according to a three-stage alarm logic. When the concentration continuously exceeds the highest level and continues to rise, and the detected ambient temperature and smoke concentration inside the equipment both exceed thresholds, the edge computing monitoring host triggers the fire extinguishing device to spray fire suppression. Simultaneously, the fire extinguishing device has a built-in activation threshold, allowing it to automatically spray fire suppression regardless of whether a trigger command is received once it reaches a stable state.

[0044] The containerized design of the intelligent fusion terminal enables different application areas to operate independently and in isolation through different containers. The smart monitoring app for transformer substations, developed for multi-dimensional sensor data acquisition, effectively integrates multi-dimensional data such as fire alarms, soundprints, and video, and uploads it uniformly to the operation monitoring platform.

[0045] The smart monitoring app for the transformer substation establishes a connection with the thermal imaging camera via Ethernet communication and exchanges data using the Hypertext Transfer Protocol (HTTP) with JSON message format. It supports arming and monitoring of transformer oil leakage and abnormal temperature rise events. Arming for abnormal temperature rise events is achieved through a persistent HTTP connection; a long-term connection is established via HTTP request, and events generated by the device are sent to the intelligent fusion terminal through this connection. Monitoring is performed by the intelligent fusion terminal acting as a server, waiting for device events to be uploaded. Simultaneously, the smart monitoring app supports sending HTTP requests to obtain transformer temperature information and images, which are then stored locally.

[0046] The intelligent fusion terminal is equipped with an Ethernet module.

[0047] The smart monitoring app for the transformer substation supports communication with industrial audio monitoring equipment via Ethernet and RS485 (9600bps, 8N1). Through the RS485 channel, the app uses the Modbus-RTU protocol to collect the acoustic waveform frequency, gain, and fault status acoustic waveform characteristics of each channel every 5 minutes. Through the Ethernet channel, the app supports sending HTTP requests to collect real-time audio waveforms of the transformer's operating status and storing them as audio files. AI fault analysis is then performed. When the intelligent fusion terminal sends a fault analysis, the industrial audio monitoring equipment analyzes the requested audio and provides feedback. It supports the reception and storage of various transformer fault information, including floating discharge, surface discharge, corona discharge, arc discharge, transformer DC bias magnetization, transformer overload, transformer short-circuit impact, transformer component loosening, and abnormal noise from the transformer cooler. The smart monitoring app supports configuring decibel over-limit alarms. When the detected acoustic waveform decibel level exceeds the threshold, an over-limit event is recorded and reported to the operation monitoring platform.

[0048] The smart monitoring APP for the distribution area supports RS485 (baud rate 9600bps) communication and establishes communication with the fire monitoring system of the distribution box. It obtains information such as current ion concentration, temperature, alarm status, and equipment fault status through the Modbus-RTU protocol and reports it to the operation monitoring platform.

[0049] The intelligent converged terminal and the operation monitoring platform establish a long-term TCP connection via 4G, and the intelligent converged terminal should have a 4G module. The smart monitoring APP of the distribution area converts the collected sensor information into 698.45 protocol for storage and uploads it to the operation monitoring platform, and uploads images and audio files to the operation monitoring platform via FTP protocol.

[0050] The operation monitoring platform reports data and events collected by sensors, establishes digital health status profiles for equipment, and visualizes the data and event reports collected by sensors, thereby improving the efficiency of remote operation and maintenance.

[0051] Example 3

[0052] This invention provides another embodiment, a smart monitoring device for a distribution transformer area, used to implement the smart monitoring method for a distribution transformer area described in Embodiment 1, specifically including: The initial module is used for system initialization, enabling the smart monitoring APP of the distribution area to start and establish communication connections with each sensor terminal. The analysis module is used to perform full-screen temperature measurement of the transformer using a thermal imaging camera and to analyze and identify oil leakage. The audio waveform acquisition module is used to collect the operating acoustic signature of transformers using industrial auscultation monitoring equipment, and to collect real-time audio waveforms on demand. The environmental parameter acquisition module is used by the online sensing, diagnostic, and early warning system to monitor and acquire the internal environmental parameters of the equipment in real time. The analysis and early warning module is used to analyze the collected multi-dimensional data using the smart monitoring APP of the distribution area. When an anomaly is detected, it generates an early warning message and uploads it to the main monitoring station. The file creation module is used by the main monitoring station to create digital health status files for equipment based on monitoring data and early warning information, and to display and issue early warnings. The handling module is used to record the handling results and update the equipment health status after the anomaly is handled, so as to realize closed-loop management of potential hazards.

[0053] The initial module is used for system initialization, enabling the smart monitoring APP of the transformer substation to start and establish communication connections with each sensor terminal. The smart monitoring APP of the transformer substation is used to collect data from monitoring equipment and connect to the thermal imaging camera via Ethernet communication. It is also used for data interaction via the Hypertext Transfer Protocol (HTTP) and for arming and monitoring transformer oil leakage and abnormal temperature rise events, and sends the arming and monitoring results to the intelligent fusion terminal via HTTP long connection.

[0054] Example 4

[0055] Based on the same inventive concept, embodiments of the present invention also provide a computer device, including a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor. When the processor executes the computer program, it implements the steps of any of the intelligent monitoring methods for distribution radio areas described in Embodiment 1.

[0056] Example 5

[0057] Based on the same inventive concept, this embodiment of the invention also provides a computer storage medium storing a computer program, which, when executed by a processor, implements the steps of any of the intelligent monitoring methods for distribution radio areas described in Embodiment 1.

[0058] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0059] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0060] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0061] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0062] In this invention, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance. The terms "connection" and "fixed" should be interpreted broadly; for example, "connection" can mean a fixed connection, a detachable connection, or an integral connection. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0063] In the description of this invention, it should be understood that the indicated orientation or positional relationship is based on the orientation or positional relationship shown in the accompanying drawings, and is only for the convenience of describing this invention and simplifying the description, and is not intended to indicate or imply that the device or unit referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, it should not be construed as a limitation of this invention.

[0064] In the description of this specification, the terms "one embodiment," "some embodiments," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of the invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0065] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for intelligent monitoring of distribution radio areas, characterized by: include: The system initializes, the smart monitoring APP for the distribution area starts up and establishes communication connections with each sensor terminal; A thermal imaging camera was used to measure the temperature of the transformer across the entire screen, and the oil leakage was analyzed and identified. The system collects operating acoustic patterns of transformers and collects real-time audio waveforms as needed. The online sensing, diagnostic, and early warning system monitors and collects internal environmental parameters of the equipment in real time. The smart monitoring APP for the distribution area is used to analyze the collected multi-dimensional data. When an anomaly is detected, an early warning message is generated and uploaded to the main operation monitoring station. The main monitoring station establishes digital health status files for equipment based on monitoring data and early warning information, and displays and issues early warnings. After the anomaly is handled, the system records the handling results and updates the equipment health status, thus achieving closed-loop management of potential hazards.

2. The intelligent monitoring method for a distribution transformer area according to claim 1, characterized in that: The smart monitoring APP for the transformer area is used to collect data from monitoring equipment and is connected to the thermal imaging camera via Ethernet communication. It is used for data interaction via the Hypertext Transfer Protocol (HTTP), and also for arming and monitoring transformer oil leakage and abnormal temperature rise events, and sends the arming and monitoring results to the intelligent fusion terminal via HTTP long connection.

3. The intelligent monitoring method for a distribution transformer area according to claim 1, characterized in that: The thermal imaging camera is an AI-powered dual-spectrum infrared camera, used for online remote monitoring and early warning of the device's full-screen temperature measurement, automatic inspection, abnormal alarm, temperature analysis, and expert diagnosis functions.

4. The intelligent monitoring method for a distribution transformer area according to claim 1, characterized in that: The process of collecting operating acoustic patterns of the transformer and acquiring real-time audio waveforms on demand is carried out using industrial auscultation monitoring equipment. This equipment consists of an ultrasonic probe connected to an industrial auscultation equipment algorithm module or an intelligent industrial audio algorithm module.

5. The intelligent monitoring method for a distribution transformer area according to claim 4, characterized in that: The industrial auscultation equipment algorithm module is powered by an AC power adapter and connected to an ultrasonic probe via an audio interface. The ultrasonic probe is installed on the surface of the transformer in the substation area. The ultrasonic probe is used to monitor the acoustic fingerprint data of the transformer in real time and transmits it to the industrial auscultation equipment algorithm module via an audio cable. The industrial auscultation equipment algorithm module supports the access of multiple ultrasonic probes. Based on the AI ​​algorithm, it compares the sample library and analyzes the collected acoustic fingerprint information in real time to determine the abnormal partial discharge situation inside the transformer.

6. A smart monitoring system for a distribution radio area, characterized in that: include: Thermal imaging camera: It adopts an AI version of dual-spectrum infrared camera, which connects to the intelligent fusion terminal through an RJ45 interface, uses the HTTP protocol for data interaction, and the message format adopts JSON format; Industrial auscultation monitoring equipment: It consists of an ultrasonic probe and an industrial auscultation monitoring equipment algorithm module, and connects to an intelligent fusion terminal via RJ45 and RS485 interfaces; it periodically collects acoustic frequency, gain and fault status parameters; it supports HTTP request acquisition of real-time audio waveforms and performs AI fault analysis via Ethernet channel; Online sensing, diagnostic and early warning system: includes edge computing monitoring host, intelligent sensing terminal and fire extinguishing device, connected to intelligent fusion terminal through RS485 interface, and uses Modbus-RTU protocol to obtain ion status information; when the pyroelectric ion concentration, temperature and smoke concentration are detected to exceed the preset threshold at the same time, the fire extinguishing device is automatically triggered to spray fire extinguishing. Intelligent converged terminal: Equipped with a 4G module and an Ethernet module, running the smart monitoring APP for the distribution area; it communicates with the main monitoring station through the 4G network of the remote communication module; the smart monitoring APP for the distribution area isolates and operates different application areas independently, realizing the fusion collection and edge computing processing of multi-dimensional data; Operation monitoring master station: Establishes a long-term TCP connection with the intelligent converged terminal through the 4G network; the intelligent converged terminal converts the collected sensor information into 698.45 protocol for storage and uploads it to the operation monitoring master station, and simultaneously uploads images and audio files via FTP protocol.

7. A smart monitoring device for a distribution transformer area, used to implement the smart monitoring method for a distribution transformer area as described in any one of claims 1-5, characterized in that: include: The initial module is used for system initialization, enabling the smart monitoring APP of the distribution area to start and establish communication connections with each sensor terminal. The analysis module is used to perform full-screen temperature measurement of the transformer using a thermal imaging camera and to analyze and identify oil leakage. The audio waveform acquisition module is used to collect the operating acoustic patterns of the transformer and to acquire real-time audio waveforms as needed. The environmental parameter acquisition module is used by the online sensing, diagnostic, and early warning system to monitor and acquire the internal environmental parameters of the equipment in real time. The analysis and early warning module is used to analyze the collected multi-dimensional data using the smart monitoring APP of the distribution area. When an anomaly is detected, it generates an early warning message and uploads it to the main monitoring station. The file creation module is used by the main monitoring station to create digital health status files for equipment based on monitoring data and early warning information, and to display and issue early warnings. The handling module is used to record the handling results and update the equipment health status after the anomaly is handled, so as to realize closed-loop management of potential hazards.

8. The apparatus according to claim 7, characterized in that: The initial module is used for system initialization, enabling the smart monitoring APP of the transformer substation to start and establish communication connections with each sensor terminal. The smart monitoring APP of the transformer substation is used to collect data from monitoring equipment and connect to the thermal imaging camera via Ethernet communication. It is also used for data interaction via the Hypertext Transfer Protocol (HTTP) and for arming and monitoring transformer oil leakage and abnormal temperature rise events. The arming and monitoring results are sent to the intelligent fusion terminal via HTTP long connection.

9. A computer device, comprising a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the intelligent monitoring method for a distribution radio area according to any one of claims 1-5.

10. A computer storage medium, characterized in that: The computer storage medium contains a computer program, which, when executed by a processor, implements the steps of the intelligent monitoring method for a distribution radio area according to any one of claims 1-5.

Images