Power distribution network non-stop operation integrated command system and command method thereof

Abstract

The application discloses a power distribution network non-stop operation integrated command system and a command method thereof. The system comprises an intelligent command vehicle as a non-stop operation field mobile core node, a remote background and various operation terminals in the field. The intelligent command vehicle is integrated with a fusion communication unit, an environment sensing unit for collecting multi-dimensional video stream and spatial information of the operation field, a safety monitoring unit for monitoring electrical parameters and micro-meteorological parameters of the operation field in real time, a data analysis and command unit for receiving and fusing communication data, collection data and monitoring data, and executing intelligent analysis, risk assessment and generating command decision information, and a vehicle-mounted support unit for providing power, environment and physical installation guarantee for the above units. The application can realize all-around sensing, whole-process safety monitoring and intelligent auxiliary decision of the operation field, thereby greatly improving operation safety and command efficiency.

Description

Technical Field

[0001] This invention relates to the field of power system operation technology, specifically to a comprehensive command system and command method for live-line work on power distribution networks. Background Technology

[0002] Live-line work on power distribution networks is a key technology for ensuring power supply reliability and improving user experience. Currently, on-site command and safety monitoring for such operations mainly rely on the personal experience of command personnel, walkie-talkie communication, and fragmented video surveillance footage. This presents the following prominent problems: 1) The limited availability of on-site video sources (such as single-path surveillance cameras or handheld cameras) leads to fragmented information perception, making it difficult for commanders to fully grasp the dynamics of the operation site.

[0003] 2) Monitoring of safety distances and environmental parameters (such as wind speed) relies heavily on manual visual inspection or intermittent measurement, resulting in delayed safety monitoring and a risk of delayed response.

[0004] 3) Each system (communication, video, monitoring) often operates independently, resulting in serious data silos and insufficient decision support.

[0005] 4) Command platforms are mostly temporary or fixed, with low mobility and integration. Summary of the Invention

[0006] To address the technical problems of existing systems, such as limited video sources, lagging security monitoring, insufficient decision support, and low mobility and integration of command platforms, this invention provides a comprehensive command system and command method for live-line work in power distribution networks. This system enables all-round perception of the work site, full-process safety monitoring, and intelligent auxiliary decision-making, thereby significantly improving work safety and command efficiency.

[0007] On one hand, this invention provides an intelligent command system for live-line work on power distribution networks, including an intelligent command vehicle as a mobile core node at the live-line work site, a remote backend, and various on-site work terminals; the intelligent command vehicle integrates: The converged communication unit is used to establish and manage multi-standard, redundant communication links connecting the remote backend and the work terminal, so that the remote backend and the work terminal can communicate. The environmental sensing unit is used to collect multi-dimensional video streams and spatial information from the work site. The safety monitoring unit is used to monitor electrical and micro-meteorological parameters at the work site in real time. The data analysis and command unit is used to receive and integrate communication data from the links managed by the converged communication unit, data collected by the environmental perception unit, and monitoring data from the safety monitoring unit, so as to perform intelligent analysis, risk assessment, and generate command decision information. The vehicle-mounted support unit is used to provide power, environmental and physical installation support for the above units.

[0008] Furthermore, the converged communication unit includes: The multi-mode communication module integrates public network, power private network, self-organizing network and satellite communication equipment, and is used to build the multi-standard and redundant communication links connecting the remote backend; The network switching module is connected to the multi-mode communication module and the in-vehicle local area network respectively, and is used to select the optimal path in the multi-mode, redundant communication links to transmit communication data between the remote back-end and the operation terminal according to the preset routing strategy. The local access module is connected to the network switching module and is used to provide the operating terminal with access to the in-vehicle local area network.

[0009] Furthermore, the environmental sensing unit includes: The fixed sensing unit component, installed on the vehicle body, includes a liftable PTZ camera and a panoramic surround view camera, used to collect video streams and spatial information of the work site from a fixed perspective; The mobile sensing unit component, controlled by the data analysis and command unit, includes a vehicle-mounted drone and / or a camera on a smart safety helmet worn by the operator, used to collect video streams and spatial information of the work site from a mobile perspective; The video processing module is connected to both the fixed sensing unit and the mobile sensing unit, and is used to integrate video streams from the two units to generate a panoramic view of the work site with a unified spatiotemporal reference.

[0010] Furthermore, the safety monitoring unit includes: An electrical testing interface is used to receive electrical measurement data from on-site testing equipment; The meteorological monitoring module, installed on the roof of the vehicle, is used to collect meteorological data such as wind speed, temperature, and humidity at the work site. The spatial positioning module is used to acquire the location information of personnel, equipment and live conductors in the work site in real time, and calculate the dynamic safe distance between personnel, equipment and live conductors accordingly.

[0011] Furthermore, the data analysis and command unit includes: An edge computing server is used to process and analyze the data collected by the environmental perception unit and the monitoring data of the security monitoring unit in real time, so as to output behavior recognition results and data analysis results. The digital twin module is used to construct and update a three-dimensional virtual scene that reflects the actual situation at the work site based on a preset line model and data analysis results from the edge computing server. The intelligent early warning module is used to compare the behavior recognition results from the edge computing server with preset risk rules and generate early warning information when a risk is identified. The command and interaction terminal is used to centrally present the three-dimensional virtual scene from the digital twin module, the early warning information from the intelligent early warning module, and other real-time data, and to receive and respond to the commander's interactive instructions.

[0012] Furthermore, the intelligent early warning module is also used for: The generated early warning information and its associated handling suggestions are simultaneously pushed to the relevant field operation terminals through the integrated communication unit.

[0013] Furthermore, the digital twin module is also used for: The system receives personnel and equipment location information from the spatial positioning module, as well as electrical measurement data from the electrical detection interface, and drives the synchronous update of the virtual object status in the three-dimensional virtual scene.

[0014] Furthermore, the vehicle-mounted support unit includes: The on-board generator set and uninterruptible power supply connected in series are used to provide dual power supply for the main and backup power supply for the various functional units of the intelligent command vehicle. An environmental control system is used to maintain the required operating temperature for the equipment inside the intelligent command vehicle.

[0015] On the other hand, the present invention also provides a comprehensive command method for live-line work in power distribution networks, based on the aforementioned comprehensive command system for live-line work in power distribution networks, the method comprising the following steps: A stable communication network covering the field operation site is established through the integrated communication unit; The environmental sensing unit and the safety monitoring unit simultaneously collect on-site panoramic video, electrical and environmental data. In the data analysis and command unit, multi-source data is integrated, and real-time risk assessment is conducted through AI analysis, digital twins, and rule matching. The command and interaction terminal of the intelligent command vehicle centrally displays the overall situation of the operation and the risk assessment results to assist command decision-making. Instructions and warnings are sent to designated terminals, including on-site operation terminals, through the converged communication unit.

[0016] Compared with the prior art, the present invention has at least the following beneficial effects: 1) Through a multi-source perception architecture of "fixed + mobile", it achieves full coverage and no blind spots in monitoring the first-person perspective of the work site from the air, ground, equipment and personnel. It also generates a unified panoramic view through video fusion, which has strong panoramic situational awareness capabilities and greatly improves the overall situational awareness capabilities of the commander (the on-site commander or operator who operates the interactive terminal of the multi-screen display system in the intelligent command vehicle).

[0017] 2) It integrates electrical, meteorological and spatial positioning detection, and can continuously, automatically and accurately measure and calculate the core parameters that affect operational safety, transforming the traditional intermittent manual inspection into continuous system monitoring, providing real-time and accurate safety monitoring, and preventing safety accidents from the source.

[0018] 3) Through the deep integration of edge AI analysis, digital twins and rule-based early warning, it can automatically identify violations, assess risks in real time, intuitively deduce the situation, and provide handling suggestions, realizing the leap from "information presentation" to "intelligent decision support", with a high degree of intelligent decision support.

[0019] 4) All functions are highly integrated into a single intelligent command vehicle, forming a self-contained mobile command post that can be quickly deployed to any work site. The system has a high degree of integration and is highly mobile and flexible, realizing "forward command" and solving the problems of inflexible fixed command mode and poor coordination of temporary system setup.

[0020] 5) By adopting multi-standard converged communication and local wireless coverage, it ensures that command instructions, monitoring data and early warning information can be transmitted stably, reliably and with low latency in complex terrain and electromagnetic environments, making communication support more reliable. Attached Figure Description

[0021] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0022] Figure 1 This is a schematic diagram of the architecture of the integrated command system for live-line work in power distribution networks according to the present invention.

[0023] Figure 2 This is a logical connection diagram of the internal functional units of the intelligent command vehicle of the present invention.

[0024] Figure 3 This is a diagram showing the system layout and data flow of the command system of the present invention in a collaborative work scenario on site.

[0025] Figure 4This is a flowchart illustrating the power distribution network live-line operation command method of the present invention. Detailed Implementation

[0026] The embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0027] It should be understood that the described embodiments are merely some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention. System Implementation Examples

[0028] Figure 1 The three-layer architecture of the system described in this invention is illustrated: a back-end command layer (remote back-end), a field core node (intelligent command vehicle), and a field operation layer (various personnel and equipment). The bidirectional flow of data and instructions between layers via a converged communication network is depicted. In a system embodiment of this invention, a comprehensive command system for live-line work in power distribution networks is provided, including a remote back-end, a field operation terminal, and an intelligent command vehicle serving as a mobile core node. The remote back-end interacts remotely with the intelligent command vehicle, and the field operation terminal interacts with the intelligent command vehicle. Figure 2 The presentation details the five functional units integrated within the intelligent command vehicle: a converged communication unit, an environmental perception unit, a safety monitoring unit, a data analysis and command unit, and an onboard support unit. It also outlines the specific components of each unit and demonstrates the data flow, control relationships, and logical dependencies between them. The presentation highlights the fundamental support role of the onboard support unit and the core processing role of the data analysis and command unit.

[0029] The integrated communication unit is used to establish and manage multi-standard, redundant communication links connecting the remote backend and various on-site operation terminals, enabling communication between the remote backend and the operation terminals. It forms the neural network of the integrated command system of this invention. In complex and variable field environments of power distribution network operations (such as mountainous areas, urban areas, and near substations), a single communication method is highly susceptible to interruption. Therefore, establishing a highly reliable, high-bandwidth, and low-latency data transmission "backbone" through the integrated communication unit is particularly important to ensure the stable and seamless flow of command instructions, high-definition video, and massive amounts of sensor data between the "remote backend - on-site intelligent command vehicle - front-line operators (on-site operation terminals)".

[0030] Furthermore, the converged communication unit includes a multi-mode communication module, a network switching module, and a local access module. The multi-mode communication module integrates public network, power grid private network, ad hoc network, and satellite communication equipment to construct multi-standard, redundant communication links connecting to the remote backend. The public network (such as 4G / 5G user terminal equipment) serves as the basic link for wide-area coverage, used to transmit non-critical monitoring data and routine communications. The power grid private network (such as 230MHz LTE or 1.4GHz / 1.8GHz broadband private network) serves as the primary link for high-priority services; due to its dedicated nature, it can still ensure reliable transmission of critical commands and data even during power grid accidents or public network congestion. The ad hoc network (such as Mesh) serves as an extension and gap filler for the "last mile" in the field. The command vehicle, as a node in the Mesh (Mesh Networking) network, can provide wireless relay for work sites without public / private network signals (such as underground substations or heavily shielded corners), relaying data from personnel terminals back to the command center. Satellite communication equipment (portable stations or mobile communication devices) serves as the ultimate backup under extreme conditions, ensuring minimal communication with the rear even in the most remote, network-free areas. A network switching module (intelligent routing gateway) runs intelligent routing algorithms (such as those based on link quality, bandwidth, and priority policies) to automatically select the optimal exit point for different types of data. The network switching module connects to both the multi-mode communication module and the in-vehicle LAN, selecting the optimal path among multi-standard, redundant communication links to transmit communication data between the remote backend and the work terminal according to preset routing policies. For example, AI warning commands are prioritized for transmission via low-latency private networks or mesh networks; non-real-time historical video transmission tasks are assigned to idle public network links. A local access module (such as an industrial-grade Wi-Fi 6 / Bluetooth 5.0 Mesh AP) provides in-vehicle LAN access for field work terminals. For example, a high-bandwidth wireless local area network with a radius of about 100-300 meters can be established around the command vehicle. All field terminals (smart safety helmets, handheld PADs, and testing instruments) can access the system through this high-bandwidth wireless local area network, avoiding the use of carrier traffic and providing a more stable and faster local data exchange capability.

[0031] Taking a command vehicle entering a mountainous area as an example, after the command vehicle arrives at the mountainous work site, the 5G signal is weak. The system automatically switches the main link to a dedicated power LTE (Long Term Evolution, a 4G mobile communication standard) network. When workers enter ravine areas without dedicated network signals, their smart bracelets connect to the terminals of nearby colleagues via Bluetooth. Then, through the mesh link established between the colleague's terminal and the command vehicle, vital signs and location data are transmitted back to the smart command vehicle, forming a "decentralized" communication network.

[0032] The environmental perception unit is used to collect multi-dimensional video streams and spatial information from the work site. It constructs the system's visual architecture. By acquiring multi-view video, the environmental perception unit overcomes the limitations of existing single-point monitoring, building a comprehensive, three-dimensional, and multi-angle visual perception capability, enabling commanders to simultaneously grasp the overall situation and key local details. Preferably, the environmental perception unit mainly includes fixed perception unit components, mobile perception units, and a video processing module.

[0033] The fixed sensing unit components include: 1) a liftable PTZ camera, typically raised 3-4 meters above the roof of the intelligent command vehicle, providing 360-degree horizontal and -90 to +90-degree vertical wide-angle monitoring as the primary viewpoint of the intelligent command vehicle. 2) a panoramic surround-view camera, deployed around the intelligent command vehicle, using a fisheye lens and stitching algorithms to generate a 360-degree bird's-eye view of the vehicle's surroundings, primarily used for vehicle safety and near-field environmental monitoring. 3) an infrared thermal imager, usually coaxially mounted with a visible light PTZ camera, used for nighttime operations or detecting abnormal heating in equipment (such as cable clamps and disconnectors). The fixed sensing unit components are mainly used to collect video streams and spatial information from a fixed perspective at the work site.

[0034] The mobile sensing unit includes a vehicle-mounted drone and a smart helmet camera for the operator. The vehicle-mounted drone serves as a multi-view supplement in the air. Before operation, it can quickly inspect poles and lines, generating high-precision orthophotos or 3D point cloud models to assist in developing operational plans. During operation, it can hover above and to the side of the work site, providing optimal, unobstructed overhead or side views to compensate for blind spots in the vehicle-mounted gimbal. The smart helmet camera acquires the operator's "first-person perspective." This perspective is crucial for judging the operator's line of sight, hand movements, and tool usage status, and is a core data source for AI (artificial intelligence) behavior analysis. The mobile sensing unit is mainly used to collect video streams and spatial information from the mobile perspective of the work site. Furthermore, in embodiments of this invention, the mobile sensing unit is controlled by the data analysis and command unit. This can be understood as the data analysis and command unit sending commands to the mobile sensing unit (such as the drone or smart helmet) via internal control instructions (such as API calls or Socket communication) to control its start / stop, adjust its viewing angle, and flight path. The control commands include, for example, automatically dispatching the drone to a designated location according to operational needs, adjusting the camera focus, and switching video sources.

[0035] The video processing module connects to the edge computing server in the data analysis and command unit via a gigabit Ethernet interface. It transmits video streams using the RTSP (Real-Time Streaming Protocol) and includes NTP (Network Time Protocol) time synchronization information to generate a panoramic view of the work site. Preferably, the video processing module not only receives all video streams but also synchronizes the timestamps of each stream via a network clock protocol. It then uses feature point matching and image stitching algorithms to fuse the drone's overhead view with the main view from the vehicle-mounted gimbal, generating a layered electronic map with a base image of a wide-angle drone view and close-ups of key areas from the gimbal or helmet. The specific methods by which the video processing module achieves a unified spatiotemporal reference and image fusion include: first, configuring encoders supporting network time protocol synchronization for the vehicle-mounted gimbal, drone, and smart helmet camera to ensure consistent timestamps across all video streams. Secondly, the precise position and attitude of the vehicle are obtained through the in-vehicle integrated navigation system. Combined with the RTK (Real-Time Kinematic) positioning data from the UAV and the pitch / azimuth encoder data from the gimbal, a spatial coordinate transformation model is used to map the pixel coordinates of all video streams to a unified on-site geographic coordinate system. Finally, image stitching algorithms based on feature point matching (such as SIFT, ORB) or visual SLAM (Simultaneous Localization and Mapping) technology are used to fuse video frames from different perspectives to generate a scalable, queryable panoramic orthophoto map or a 3D reality model. The wide-angle view from the UAV serves as the base map, while the high-resolution gimbal or helmet view can serve as an active layer or pop-up window.

[0036] The safety monitoring unit is used to monitor electrical and micro-meteorological parameters at the work site in real time. It transforms key physical quantities (electricity, distance, environment) that affect work safety from human experience judgment into objective, continuous, and quantifiable data, providing accurate input for automated early warning.

[0037] Preferably, the safety monitoring unit includes an electrical detection interface, a meteorological monitoring module, and a spatial positioning module. The electrical detection interface, acting as a wireless data aggregation gateway, receives electrical measurement data from on-site detection equipment. This on-site detection equipment refers to specialized instruments deployed at the work site for collecting electrical parameters (such as electric field strength and current), including but not limited to proximity alarms and clamp meters. These devices can connect to the electrical detection interface via wired or wireless means (such as LoRa or ZigBee), and their data is aggregated through the interface before being transmitted to the data analysis and command unit. Some detection equipment can also be integrated into on-site work terminals (such as smart safety helmets and handheld detectors). The electrical detection interface does not directly generate data but acts as a protocol conversion and data aggregation center. It receives electric field strength data from proximity alarms inside the insulated bucket truck's work bucket and load current data from clamp meters via ZigBee (a low-power local area network protocol), LoRa (Long Range, a low-power wide area network technology), or dedicated wireless frequency bands. After these heterogeneous data are uniformly encapsulated, they are sent to the data analysis and command unit via the vehicle's local area network. Specifically, the electrical testing interface aggregates data via an RS-485 bus or LoRa (long-range radio) wireless network, and then publishes it to a designated topic via the vehicle's local area network switch in the form of MQTT protocol messages through a protocol conversion gateway, for the data analysis and command unit to subscribe to.

[0038] Meteorological monitoring modules (such as vehicle-mounted micro-weather stations) are used to collect meteorological data at the work site. They integrate multiple sensors for wind speed, wind direction, temperature, humidity, and air pressure. Wind speed is a key indicator for determining whether live-line work can be carried out, and real-time wind speed data is directly connected to the early warning rule base.

[0039] The spatial positioning module, comprising UWB (Ultra-Wideband) positioning equipment and LiDAR (Light Detection and Ranging) fusion positioning equipment, is used to obtain real-time location information of personnel, equipment, and energized objects within the work site and calculate the dynamic safe distances between them. For example, four or more base stations with known coordinates are deployed at the work site. Tags are worn on workers, insulated buckets, and handheld tools. By calculating the radio flight time between the tags and each base station, precise positioning of 10-30 cm is achieved both indoors and outdoors, dynamically outputting the distances between "person-equipment" and "equipment-energized objects." LiDAR, as a supplement, can perform rapid 3D scanning of the work site, establishing static obstacle and energized equipment outline models, which are then fused with the dynamic data from the UWB positioning equipment to construct more accurate spatial relationships.

[0040] For example, during the operation, the electrical detection interface displays the electric field strength at the current work point as 4.8 kV / m (safe). The UWB positioning device continuously calculates the distance between worker A's right hand and phase B conductor inside the bucket as 0.65 meters (preset safe distance 0.7 meters). The meteorological monitoring module detects that the gust wind speed instantly reaches 9 m / s (warning threshold 8 m / s). These three sets of data are sent to the data analysis and command unit in real time and in parallel.

[0041] The data analysis and command unit receives and integrates communication data from the links managed by the converged communication unit, data collected by the environmental perception unit, and monitoring data from the safety monitoring unit. Based on this, it performs intelligent analysis, risk assessment, and generates command decision information. The content of the integrated communication data received by the data analysis and command unit includes, but is not limited to, remote command instructions, work plans, electronic work tickets, personnel information, and equipment status reports. Specific intelligent analysis content includes, for example, video AI behavior recognition (such as whether safety equipment is worn, whether actions are compliant), electrical data analysis (such as current surge recognition), and meteorological data trend analysis. The data analysis and command unit is the brain of the system of this invention, deeply processing massive amounts of heterogeneous data. For example, the data analysis and command unit can combine rule engines (such as IF-THEN rules) or machine learning models to comprehensively score multi-source data and output risk levels. Through the data analysis and command unit, the communication data from the links managed by the converged communication unit, the data collected by the environmental perception unit, and the monitoring data from the safety monitoring unit are upgraded from "seeing" and "measuring" to "understanding," "predicting," and "decision support," thereby realizing the intelligence of the intelligent command vehicle.

[0042] Preferably, the data analysis and command unit includes an edge computing server, a digital twin module, an intelligent early warning module, and a command and interaction terminal. The edge computing server, digital twin module, intelligent early warning module, and command and interaction terminal are all deployed within the same vehicle-mounted server cluster or industrial computer, exchanging data via an internal high-speed bus and Socket communication. The intelligent early warning module obtains AI recognition results by calling the RESTful API (Representational State Transition Application Programming Interface) provided by the edge computing server, and obtains real-time data streams from the security monitoring unit by subscribing to topics in a message middleware (such as a Redis remote dictionary service).

[0043] The edge computing server, deployed within the intelligent command vehicle, processes and analyzes data collected by the environmental perception unit and monitored by the safety monitoring unit in real time, outputting behavior recognition and data analysis results. The edge computing server enables local data processing and real-time AI analysis, reducing reliance on cloud bandwidth and response latency. It runs lightweight AI models such as YOLO / SSD (You Only Look Once, a real-time object detection algorithm / Single Shot Multi Box Detector), pose estimation models, and data filtering and fusion algorithms. The YOLO / SSD model primarily performs real-time object detection on the helmet video stream, identifying whether safety helmets, insulated gloves, safety belts, and voltage detectors are worn correctly. The pose estimation model analyzes whether workers' actions are standardized (e.g., whether the way tools are passed is safe). The data filtering and fusion algorithms process and correlate multi-source data from the safety monitoring unit.

[0044] The digital twin module is used to construct and update a 3D virtual scene reflecting the actual work site conditions, based on a pre-set route model and data analysis results from an edge computing server. When constructing the 3D virtual scene, the digital twin module uses the BIM / GIS (Building Information Modeling / Geographic Information System) model of the work route as a base, and imports a real-world point cloud model scanned by drones for enhancement. This module subscribes to and receives coordinate data from the spatial positioning module and status data from the electrical monitoring interface in real time through protocols such as OPC UA (OPC Unified Architecture, one of the industrial communication protocols) or MQTT (Message Queuing Telemetry Transport Protocol). Subsequently, in a 3D engine (such as the industrial version of Unity3D or Unreal Engine), it drives virtual models such as "workers," "bumper trucks," and "conductors" to perform movements and status updates completely synchronized with the site, forming a digital copy that maps the virtual and real worlds and interacts in real time.

[0045] The intelligent early warning module compares behavior recognition results from the edge computing server with preset risk rules and generates early warning information when a risk is detected. It includes a rule engine to trigger risk warnings. The intelligent early warning module is a core software component with an embedded configurable rule library. Rules are presented in the following format: IF (Wind speed > 8m / s) THEN (Triggered "Gale Warning", Level: High); IF (safe distance < 0.7m AND not wearing insulated gloves) THEN (triggered "compound high risk warning", level: emergency).

[0046] The intelligent early warning module continuously monitors the AI ​​recognition results from the edge computing server and the real-time data stream from the safety monitoring unit. Once a condition matches a rule, the corresponding early warning is immediately triggered. Preferably, when an early warning is triggered, the intelligent early warning module simultaneously pushes the generated early warning information and its associated handling suggestions to the relevant on-site personnel's work terminals (such as smart terminals) through the converged communication unit.

[0047] The command and control terminal is used to centrally present the 3D virtual scene from the digital twin module, early warning information from the intelligent early warning module, and other real-time data, and to receive and respond to the commander's interactive instructions. It includes a human-computer interface for centralized information display and interaction. The preferred command and control terminal employs multi-screen heterogeneous display technology: 1) one screen displays a panoramic view after video fusion; 2) one screen displays the digital twin 3D scene, which can be freely rotated and scaled; 3) one screen displays real-time monitoring data curves in dashboard format; 4) one screen displays the early warning list and electronic work orders. The screens can be linked for operation; for example, clicking on a virtual person in the 3D scene will automatically display their corresponding video feed and vital sign data.

[0048] Preferably, the digital twin module is also used to receive personnel and equipment location information from the spatial positioning module, as well as electrical measurement data from the electrical detection interface, to drive the synchronous update of the virtual object status in the three-dimensional virtual scene.

[0049] The on-site operation terminals, including smart terminal devices worn or held by the operators, are connected to the system of the present invention through the local access module of the converged communication unit, and are used to receive early warnings, report status, and conduct voice communication.

[0050] For example, the edge server receives data showing "wind speed 9 m / s" and "safe distance 0.65 m". The AI ​​model simultaneously identifies "insulated glove wearing specifications" from the helmet video. The intelligent early warning module matches two rules simultaneously: high wind warning and insufficient safe distance warning. Since the combined condition of "not wearing gloves" is not matched, two independent warnings are triggered. These two warnings are displayed with different colors and sounds on the command and control terminal, and in the digital twin scenario, the operator model is highlighted in yellow, with a virtual "risk radius" circle expanding from its location. Based on this comprehensive situation, the commander issues a voice command through the integrated communication unit: "Maintain distance and prepare to suspend operations." In embodiments of the present invention, the intelligent command vehicle also integrates an onboard support unit (the vehicle body and the working circulation system mounted on it), which serves as the backbone and circulation system of the present invention. It provides a mobile, stable, and reliable physical foundation for all the system's precision electronic equipment, solving fundamental physical problems such as power supply, heat dissipation, shock resistance, and dust prevention. This is the fundamental guarantee for the entire system to operate in harsh outdoor environments. The onboard support unit includes power components and an environmental control system, providing power, environmental, and physical installation guarantees for the aforementioned integrated communication unit, environmental perception unit, safety monitoring unit, data analysis and command unit, and other units, providing a stable and reliable operating foundation for all vehicle equipment.

[0051] Specifically, the power components include a tiered power supply system consisting of a generator set, a UPS (Uninterruptible Power Supply), and a distribution cabinet (optional). A silent diesel generator set (or a high-capacity lithium battery) serves as the main power source. The linear UPS is directly connected to the generator set's output to purify and stabilize the power. The UPS provides seamless power during millisecond-level interruptions in generator startup or failure, ensuring that critical equipment such as servers never lose power. The distribution cabinet then distributes power to different circuit breakers in each equipment rack.

[0052] An environmental control system maintains the required operating temperature for the equipment within the intelligent command vehicle, including precision air conditioning and equipment compartment air ducts. The command compartment uses a household inverter air conditioner to ensure personnel comfort. The equipment compartment (housing servers and communication equipment) uses industrial-grade precision air conditioning, enabling more precise control of temperature and humidity (e.g., 22±2°C, humidity 40%-60%). Simultaneously, a forced ventilation system with forward and rear exhaust is designed inside the server racks, working in conjunction with the precision air conditioning's air supply circuit to ensure effective heat dissipation for the equipment within each rack.

[0053] Optionally, the vehicle-mounted support unit also includes a physical integration platform, comprising a special vehicle chassis and a customized cabinet / bracket. Specifically, a Class II vehicle chassis with good off-road capability (such as an off-road truck or large bus chassis) is selected for modification. All equipment is installed on shock-absorbing cabinets or customized anti-vibration brackets. The cabinets are rigidly connected to the vehicle body beams with bolts, and the internal equipment is further secured with guide rails and pressure strips, forming multiple layers of shock absorption to prevent equipment damage or interface loosening caused by vehicle bumps. All cables are neatly laid out through cable trays and conduits, and electromagnetic shielding is provided.

[0054] For example, the command vehicle travels on a dirt road in the sweltering summer heat, with the generator running stably. The UPS ensures that even if the generator momentarily vibrates when the vehicle goes over a bump, the server power supply remains stable and unwavering. Upon arrival at the site, even with an outside temperature of 38°C, the precision air conditioning maintains the equipment compartment temperature at 24°C. The rack fans expel the heat generated by the equipment from the rear, which is then carried away by the air conditioning circulation system. With this reliable physical foundation, the entire system begins executing its intelligent tasks.

[0055] Taking the replacement of tension pole insulators using an insulated bucket truck on a typical 10kV distribution network as an example, Figure 3 The demonstration showcased a collaborative work scenario of the command system of this invention in the field. The intelligent command vehicle, parked in a safe area near the work site, served as a mobile command center. A retractable pan-tilt camera mounted on its roof and a drone hovering above the work site provided comprehensive, unobstructed monitoring of the operations of two workers (A and B) inside the insulated bucket truck's work bucket from both ground-level and aerial perspectives. Smart safety helmets with integrated cameras worn by the workers provided crucial first-person perspectives. Simultaneously, UWB (Ultra-Wideband) positioning base stations pre-positioned around the poles provided centimeter-level real-time positioning of the workers, tools, and the insulated bucket truck, dynamically calculating safe distances from live conductors. An onboard micro-weather station continuously monitored environmental parameters such as wind speed, while a detection terminal on the bucket truck transmitted electrical data such as electric field strength in real time. All this multi-source heterogeneous data—video streams, coordinate information, environmental parameters, and electrical data—converged to the intelligent command vehicle via a local high-speed wireless network (Wi-Fi 6 / Mesh) established around the vehicle. Inside the vehicle, the data analysis and command unit integrates and processes information: the edge server analyzes behavioral norms through AI models, the digital twin module drives a 3D virtual scene to synchronously map the actual situation on site, and the intelligent early warning module conducts real-time risk assessment based on a rule base. Ultimately, the panoramic situation, risk warnings, and auxiliary decision-making information are centrally presented on the multi-screen workbench in front of the commander. Command instructions and safety warnings can be synchronously distributed to the workers' handheld terminals and transmitted back to the remote backend through the converged communication unit (which comprehensively utilizes power grid, public network, and other links), thereby achieving full-process, panoramic, intelligent safety monitoring and efficient command of high-risk operations.

[0056] Method Implementation Examples On the other hand, refer to Figure 4 Based on the power distribution network live-line work command system of the present invention, embodiments of the present invention provide a power distribution network live-line work command method. The main executing entity of the method is the data analysis and command unit in the system of the present invention, which, through collaborative operation with the converged communication unit, the environmental sensing unit, and the safety monitoring unit, realizes the following command process: S101: Operation begins, mission initiated. The intelligent command vehicle arrives at the operation site and deploys equipment. The onboard support unit activates, providing power to the entire vehicle. The converged communication unit automatically searches for and establishes a satellite / 5G master link with the remote backend and activates the local Wi-Fi network.

[0057] S102: Communication Establishment and On-site Deployment. The fixed sensing unit in the control environment perception unit raises the vehicle-mounted gimbal and dispatches the drone in the mobile sensing unit to scan the work site, the work tower, and the surrounding environment. It also activates the various sensors in the safety monitoring unit.

[0058] S103: Data Acquisition and Fusion Sensing. Data from the environmental sensing unit and safety monitoring unit is continuously fed into the data analysis and command unit. The video processing module generates a panoramic view. The edge computing server begins real-time video analysis. The digital twin module loads the route model for this operation and fuses it with real-time data to form a dynamic 3D operational scene.

[0059] S104: Intelligent Analysis and Risk Assessment. Based on real-time monitoring of electrical parameters, meteorological parameters, and spatial location data by the safety monitoring unit, and combined with AI behavior recognition results from the video stream of the environmental perception unit, the system calls upon the rule base in the intelligent early warning module for real-time matching and risk assessment. For example, when AI identifies a worker not wearing insulated gloves, and UWB shows that the distance between their hand and a live conductor is less than the safe value, the system immediately triggers a combined early warning of "behavioral violation + insufficient safe distance".

[0060] S105: Assisting Command Decision-Making and Instruction Execution. The warning information is prominently displayed on the command interaction terminal of the intelligent command vehicle, and the associated video window automatically pops up. In the digital twin scenario, the personnel model flashes red. Simultaneously, the system generates a standard handling suggestion: "Please immediately stop operation and wear insulated gloves." This warning and suggestion are simultaneously sent via the converged communication unit to the commander's screen, the on-site supervisor's terminal, and the on-site work terminals (such as smart bracelets) of the personnel involved.

[0061] S106: Task Archiving and Summary. After the task is completed, the system automatically packages all alarm logs, key video clips, operation records, and final status during the process into a structured electronic task report, which is then sent back to the remote backend for archiving.

[0062] It should be noted that in this paper, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply these relationships. There is no such actual relationship or order between entities or operations. Furthermore, the terms "including" and "package" do not apply. The word "comprise" or any other variation thereof is intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprises a..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0063] In this embodiment of the invention, the term "and / or" describes the relationship between associated objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. The character " / " generally indicates that the preceding and following associated objects have an "or" relationship.

[0064] The various embodiments in this specification are described in a related manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on describing the differences from other embodiments.

[0065] In particular, the device embodiments are basically similar to the method embodiments, so they are described in a simpler way. For relevant details, please refer to the description of the method embodiments.

[0066] For ease of description, the above apparatus is described by dividing it into various functional units / modules. Of course, in implementing this invention, the functions of each unit / module can be implemented in one or more software and / or hardware.

[0067] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. The storage medium can be a magnetic disk, optical disk, read-only memory (ROM), or random access memory (RAM), etc.

[0068] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A comprehensive command system for live-line work in power distribution networks, characterized in that, This includes an intelligent command vehicle serving as the mobile core node for live-line work, a remote control system, and various on-site work terminals; the intelligent command vehicle integrates: The converged communication unit is used to establish and manage multi-standard, redundant communication links connecting the remote backend and the work terminal, so that the remote backend and the work terminal can communicate. The environmental sensing unit is used to collect multi-dimensional video streams and spatial information from the work site. The safety monitoring unit is used to monitor electrical and micro-meteorological parameters at the work site in real time. The data analysis and command unit is used to receive and integrate communication data from the links managed by the converged communication unit, data collected by the environmental perception unit, and monitoring data from the safety monitoring unit, so as to perform intelligent analysis, risk assessment, and generate command decision information. The vehicle-mounted support unit is used to provide power, environmental and physical installation support for the above units.

2. The system according to claim 1, characterized in that, The converged communication unit includes: The multi-mode communication module integrates public network, power private network, self-organizing network and satellite communication equipment, and is used to build the multi-standard and redundant communication links connecting the remote backend; The network switching module is connected to the multi-mode communication module and the in-vehicle local area network respectively, and is used to select the optimal path in the multi-mode, redundant communication links to transmit communication data between the remote back-end and the operation terminal according to the preset routing strategy. The local access module is connected to the network switching module and is used to provide the operating terminal with access to the in-vehicle local area network.

3. The system according to claim 1, characterized in that, The environmental sensing unit includes: The fixed sensing unit component, installed on the vehicle body, includes a liftable PTZ camera and a panoramic surround view camera, used to collect video streams and spatial information of the work site from a fixed perspective; The mobile sensing unit component, controlled by the data analysis and command unit, includes a vehicle-mounted drone and / or a smart safety helmet camera worn by the operator, used to collect video streams and spatial information of the work site from a mobile perspective; The video processing module is connected to both the fixed sensing unit and the mobile sensing unit, and is used to integrate video streams from the two units to generate a panoramic view of the work site with a unified spatiotemporal reference.

4. The system according to claim 1, characterized in that, The safety monitoring unit includes: An electrical testing interface is used to receive electrical measurement data from on-site testing equipment; The meteorological monitoring module, installed on the roof of the vehicle, is used to collect meteorological data such as wind speed, temperature, and humidity at the work site. The spatial positioning module is used to acquire the location information of personnel, equipment and live conductors in the work site in real time, and calculate the dynamic safe distance between personnel, equipment and live conductors accordingly.

5. The system according to claim 4, characterized in that, The data analysis and command unit includes: An edge computing server is used to process and analyze the data collected by the environmental perception unit and the monitoring data of the security monitoring unit in real time, so as to output behavior recognition results and data analysis results. The digital twin module is used to construct and update a three-dimensional virtual scene that reflects the actual situation at the work site based on a preset line model and data analysis results from the edge computing server. The intelligent early warning module is used to compare the behavior recognition results from the edge computing server with preset risk rules and generate early warning information when a risk is identified. The command and interaction terminal is used to centrally present the three-dimensional virtual scene from the digital twin module, the early warning information from the intelligent early warning module, and other real-time data, and to receive and respond to the commander's interactive instructions.

6. The system according to claim 5, characterized in that, The intelligent early warning module is also used for: The generated early warning information and its associated handling suggestions are simultaneously pushed to the relevant field operation terminals through the integrated communication unit.

7. The system according to claim 5, characterized in that, The digital twin module is also used for: The system receives personnel and equipment location information from the spatial positioning module, as well as electrical measurement data from the electrical detection interface, and drives the synchronous update of the virtual object status in the three-dimensional virtual scene.

8. The system according to claim 1, characterized in that, The vehicle-mounted support unit includes: The on-board generator set and uninterruptible power supply connected in series are used to provide dual power supply for the main and backup power supply for the various functional units of the intelligent command vehicle. An environmental control system is used to maintain the operating temperature required for the equipment inside the intelligent command vehicle.

9. A comprehensive command method for live-line work in power distribution networks, based on the system described in any one of claims 1-8, characterized in that, Includes the following steps: A stable communication network covering the field operation site is established through the integrated communication unit; The environmental sensing unit and the safety monitoring unit simultaneously collect on-site panoramic video, electrical and environmental data. In the data analysis and command unit, multi-source data is integrated, and real-time risk assessment is conducted through AI analysis, digital twins, and rule matching. The command and interaction terminal of the intelligent command vehicle centrally displays the overall situation of the operation and the risk assessment results to assist command decision-making. Instructions and warnings are sent to designated terminals, including on-site operation terminals, through the converged communication unit.

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