Solution for power utilization information acquisition emergency communication by using unmanned aerial vehicle

Abstract

The invention discloses a solution for power utilization information acquisition emergency communication by using an unmanned aerial vehicle, which is characterized in that the unmanned aerial vehicle carries a power utilization acquisition emergency terminal to fly against a target station area to hover, and the power utilization acquisition emergency terminal is integrated with a meter reading controller, a CCO communication module, a low-power-consumption local wireless communication module and a power supply; the ground end controls the reading controller to drive the CCO communication module through a wireless link; the CCO communication module sends a heartbeat request to the affected station area concentrator, and synchronously starts a timeout timer and RSSI detection; if the response frame is received, an HRF network is established to directly read the power consumption data; if the time is out and the RSSI is less than or equal to the noise threshold value, loading local backup data, and constructing an HPLC + HRF dual-mode ad hoc network to read electric meter data in batches; and the data are converted and compressed and then transmitted back to the local concentrator, and finally uploaded to the master station system, and the unmanned aerial vehicle flies to the next zone area for cyclic execution. According to the invention, the temporary communication network is rapidly constructed, the power utilization data of the transformer area is obtained in time under the disaster condition, and key support is provided for emergency command and post-disaster recovery.

Description

Technical Field

[0001] This invention relates to the field of electricity consumption information collection and communication, and in particular to a solution for emergency communication using drones for electricity consumption information collection. Background Technology

[0002] In recent years, many parts of my country have suffered severe floods, causing widespread damage to public network communication base stations and power lines. Power information collection systems are unable to determine the actual scope of power outages and cannot accurately repair affected users. Therefore, it is necessary to promptly conduct research on self-organizing network technology to restore downlink and uplink channels for data collection, ensuring accurate assessment of outage areas. Currently, power information collection systems utilize fiber optics, GPRS, 4G, and 5G for remote communication, and dual-mode carrier for local communication. Existing communication systems rely on base stations to collect and manage information from numerous collection terminals within a region. If a communication equipment room leaks during the flood season, uplink communication will be interrupted, resulting in widespread loss of power user information and impacting the normal operation of the entire power transmission and distribution system. Summary of the Invention

[0003] The purpose of this invention is to provide a solution for emergency communication in electricity consumption information collection using drones. By using drones to carry emergency electricity consumption collection terminals, flying to concentrators in flood-stricken areas, and acquiring meter data of users in the area through wireless communication, a temporary communication network can be quickly established to obtain electricity consumption data of the area in a timely manner during disasters.

[0004] To achieve the above objectives, this invention provides a solution for emergency communication using unmanned aerial vehicles (UAVs) for collecting electricity consumption information, comprising:

[0005] S1. The UAV, equipped with an emergency power consumption data collection terminal, flies to the target power consumption data collection area concentrator in the disaster area according to the preset route and hovers there. The emergency power consumption data collection terminal integrates a data collection controller, a CCO communication module, a low-power local wireless communication module and a power supply.

[0006] S2. The ground control terminal establishes a communication connection with the meter reader of the power consumption collection emergency terminal through a low-power local wireless communication module. The meter reader receives and parses the instructions from the ground control terminal and drives the CCO communication module to perform communication operations.

[0007] The S3 and CCO communication modules send a heartbeat request to the target radio area concentrator, and simultaneously start the response timeout timer and RSSI signal strength detection.

[0008] S4. When a standard response frame containing the device ID and voltage value is received from the target radio station concentrator, the meter reader controls the CCO communication module to directly establish an HRF communication network with the target radio station concentrator and read the real-time electricity consumption data stored in the target radio station concentrator. When the response timeout timer expires and there is no response and RSSI ≤ the environmental noise threshold, the meter reader controls the CCO communication module to load the locally backed-up target radio station concentrator data and construct an HPLC+HRF dual-mode self-organizing network to read the electricity consumption data of each meter in the target radio station area in batches.

[0009] S5. The meter reader performs protocol conversion and compression on the read electricity consumption data, and transmits the processed data to the local concentrator located in the safe area through the low-power local wireless communication module. The local concentrator then uploads the received data to the main station system.

[0010] S6. The drone flies to the next target radio station in the disaster area according to the preset route, and repeats steps S1-S5.

[0011] Further, in step S1, the preset route planning includes:

[0012] S1.1 Based on the distribution data of radio stations in the disaster-stricken area and the endurance of UAVs, the initial cruise path covering all radio stations in the disaster-stricken area is planned, with the GPS coordinates of each radio station concentrator as the route node.

[0013] S1.2. When the UAV visits the radio stations in the disaster area one by one according to the initial cruise path, the initial cruise path is dynamically optimized according to real-time mission requirements, including:

[0014] Upon arrival at each waypoint, priority is given to scanning the target radio area concentrator signal within the preset default communication channel group;

[0015] The system monitors the remaining battery power of the drone in real time. When the remaining battery power is lower than a preset threshold, it automatically deletes route nodes marked as having a lower priority than the set value in the subsequent path, and controls the drone to automatically return to home when the remaining battery power is lower than the extreme low battery threshold.

[0016] Based on historical patrol mission data, hotspot area route templates are generated. When the same disaster-stricken area mission is executed again, the hotspot area route templates are directly called to control the drone flight.

[0017] Further, in step S4, the meter reader directly establishes an HRF communication network with the target radio station concentrator through a fast search. The fast search includes a full-channel network search mode, a specific-channel network search mode, and a user-defined network search mode. The specific method is as follows:

[0018] S4.1.1 The meter reader first adopts the user-defined network search mode, and performs a fast search based on the user-preset default channel list. The single channel search cycle is 1 minute.

[0019] S4.1.2 When no valid signal is detected in step S4.1.1, switch to the specific channel search mode. Starting from the user-input channel, traverse all channels in the search group of 12 channels in a 30-second cycle.

[0020] S4.1.3 If no valid signal is detected in step S4.1.2, start the full-channel network search mode, and traverse channels 1-80 according to option2 or channels 1-200 according to option3. The single-channel search period is 30 seconds.

[0021] Further, in step S4, the construction of the HPLC+HRF dual-mode self-organizing network includes:

[0022] S4.2.1 The meter reader of the power consumption collection emergency terminal controls the CCO communication module to load the locally backed-up target radio station area concentrator data and simulate the target radio station area concentrator function as a temporary concentrator node.

[0023] S4.2.2 The temporary concentrator node broadcasts HRF wireless networking beacon frames and HPLC carrier networking beacon frames, wherein the beacon frames contain network topology type identifiers, frequency band parameters and hop count limits;

[0024] S4.2.3 After each meter node in the target radio area receives the beacon frame, it evaluates the performance indicators and selects the access mode. The performance indicators are calculated as follows:

[0025] HRF wireless performance metrics:

[0026]

[0027] HPLC carrier performance indicators:

[0028]

[0029] In formulas (1) and (2), ω is the transmit power of the meter node, HOP is the hop count from the current meter node to the virtual concentrator node, β is the weighting coefficient (0≤β≤1), RSSI is the signal strength, and C m This is the maximum number of hops allowed by the network.

[0030] When σ HRF ≥θ1 or σ HPLC ≥θ1, the meter node, as a STA terminal node, directly sends an association request to the temporary concentrator node;

[0031] When σHRF <θ2 and σ HPLC When θ2 < θ1 (θ1 and θ2 are preset thresholds, θ2 < θ1), the meter node is converted into a PCO relay node, connects to the adjacent STA terminal node through the HPLC carrier channel, and forwards the association request to the temporary concentrator node;

[0032] S4.2.4 After each meter node is successfully associated, the routing information of the meter node is uploaded to the temporary concentrator node, a topology update command is broadcast, and the routing table of the entire network is updated.

[0033] S4.2.5 The meter reader reads the electricity consumption data of each meter node in the target electricity area in batches through the constructed HPLC+HRF dual-mode self-organizing network.

[0034] This invention also protects an emergency communication system for electricity information collection, comprising: the system including: a drone, a drone controller, a ground control terminal, an emergency electricity information collection terminal, and an emergency command center; the emergency electricity information collection terminal including a meter reader, a CCO communication module, a low-power local wireless communication module, and a power supply; the emergency command center including a local concentrator and a master station system; the system is used to implement the above-mentioned solution for emergency communication for electricity information collection using a drone.

[0035] The present invention also protects a computer-readable storage medium storing executable instructions for an emergency communication system for collecting electricity information, which, when executed by a processor included in the emergency communication system for collecting electricity information, are used to implement the above-mentioned solution for emergency communication for collecting electricity information using a drone.

[0036] The beneficial effects of this invention are:

[0037] This invention enables the rapid deployment of an emergency power consumption data collection terminal carried by a drone to disaster-stricken areas when ground communication facilities are damaged. This terminal quickly establishes a temporary communication network, facilitating emergency power consumption data collection. The terminal features rapid search and self-organizing network capabilities, allowing for quick acquisition and networking of information from multiple transformer substations, thus improving system response speed and efficiency. Furthermore, the terminal integrates a low-power local wireless communication module, enabling long-distance communication between the ground station and the drone-borne terminal, overcoming the limitations of traditional communication methods at disaster sites. By constructing an emergency communication network in disaster-stricken areas, this invention provides crucial support for emergency command and post-disaster recovery through the emergency collection of user power consumption data. Attached Figure Description

[0038] Figure 1 This is a flowchart illustrating a solution for emergency communication using drones in collecting electricity consumption information, provided in an embodiment.

[0039] Figure 2 This is a network diagram of the disaster-affected area under normal conditions in an embodiment.

[0040] Figure 3 This is a network diagram of the affected transformer area when it is malfunctioning in this embodiment;

[0041] Figure 4 This is a diagram of the emergency communication network topology in this embodiment;

[0042] Figure 5 This is a schematic diagram of the structure of an emergency communication system for collecting electricity information in this embodiment. Detailed Implementation

[0043] The technical method of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only 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.

[0044] Example 1

[0045] like Figure 1 As shown, a solution for emergency communication using drones for electricity consumption information collection includes:

[0046] S1. The UAV, equipped with an emergency power consumption data collection terminal, flies to the target power consumption data collection area concentrator in the disaster area according to the preset route and hovers there. The emergency power consumption data collection terminal integrates a data collection controller, a CCO communication module, a low-power local wireless communication module and a power supply.

[0047] S2. The ground control terminal establishes a communication connection with the meter reader of the power consumption collection emergency terminal through a low-power local wireless communication module. The meter reader receives and parses the instructions from the ground control terminal and drives the CCO communication module to perform communication operations.

[0048] The S3 and CCO communication modules send a heartbeat request to the target radio area concentrator, and simultaneously start the response timeout timer and RSSI signal strength detection.

[0049] S4. When a standard response frame containing the device ID and voltage value is received from the target radio station concentrator, the meter reader controls the CCO communication module to directly establish an HRF communication network with the target radio station concentrator and read the real-time electricity consumption data stored in the target radio station concentrator. When the response timeout timer expires and there is no response and RSSI ≤ the environmental noise threshold, the meter reader controls the CCO communication module to load the locally backed-up target radio station concentrator data and construct an HPLC+HRF dual-mode self-organizing network to read the electricity consumption data of each meter in the target radio station area in batches.

[0050] S5. The meter reader performs protocol conversion and compression on the read electricity consumption data, and transmits the processed data to the local concentrator located in the safe area through the low-power local wireless communication module. The local concentrator then uploads the received data to the main station system.

[0051] S6. The drone flies to the next target radio station in the disaster area according to the preset route, and repeats steps S1-S5.

[0052] Specifically, a pilot application of an emergency communication method for collecting electricity consumption information based on drones was conducted in typical flood-affected power supply areas in Henan Province. Concentrators installed on ground power poles were selected to conduct pilot tests of the drone-based emergency communication system for collecting electricity consumption information. The simulation involved an interruption of uplink data from the concentrators in the affected power supply areas during a flood disaster, preventing the main station system from determining the power consumption situation in the affected areas. The system used drones equipped with emergency terminals to sense the power consumption situation in the affected power supply areas and transmit the power consumption data back to the emergency command center.

[0053] The pilot area covers a radius of 2000 meters. Based on the distribution of power concentrators in the affected areas, drones are planned to fly along designated routes and carry emergency power consumption data collection terminals to collect data. These terminals then detect signals from the power concentrators in the affected areas.

[0054] The first state is as follows: Figure 2 As shown: The CCO in the affected area is normal. The ground control terminal remotely connects to the meter reader of the emergency power collection terminal via a low-power local wireless communication module. The meter reader controls the CCO communication module to directly connect to the CCO in the affected area via HRF, reads the online STA data of the affected area, and downloads the meter records, addresses, and channels to the local concentrator for backup.

[0055] The second state is as follows: Figure 3 As shown: The CCO in the disaster-stricken area is malfunctioning and unable to collect data. The ground control terminal remotely connects to the power collection emergency terminal's data reader via a low-power local wireless communication module. The data reader controls the CCO communication module to load the locally backed-up CCO data from the disaster-stricken area, constructing an HPLC+HRF dual-mode self-organizing network to connect to nearby STAs, replacing the CCO in the disaster-stricken area to form a network in the disaster-stricken area. Subsequently, it reads the STA data in the disaster-stricken area in batches and transmits the data back to the local concentrator.

[0056] The local concentrator uploads the backed-up STA data of the affected area to the main station system of the simulated emergency command center, thus completing the emergency data collection task for one affected area. Then, it controls the drone to fly to the next affected area and repeat the above operation.

[0057] The emergency communication method for collecting electricity information in this embodiment is based on the mobility and flexibility of UAVs, which can carry emergency electricity collection terminals to disaster areas quickly. Especially when ground communication facilities are damaged, UAVs carrying emergency electricity collection terminals can establish temporary communication networks in a short time to carry out emergency transmission of electricity information.

[0058] In a preferred embodiment of the present invention, in step S1, the preset route planning includes:

[0059] S1.1 Based on the distribution data of radio stations in the disaster-stricken area and the endurance of UAVs, the initial cruise path covering all radio stations in the disaster-stricken area is planned, with the GPS coordinates of each radio station concentrator as the route node.

[0060] S1.2. When the UAV visits the radio stations in the disaster area one by one according to the initial cruise path, the initial cruise path is dynamically optimized according to real-time mission requirements, including:

[0061] Upon arrival at each waypoint, priority is given to scanning the target radio area concentrator signal within the preset default communication channel group;

[0062] The system monitors the remaining battery power of the drone in real time. When the remaining battery power is lower than a preset threshold, it automatically deletes route nodes marked as having a lower priority than the set value in the subsequent path, and controls the drone to return automatically when the remaining battery power is lower than the extreme low battery threshold.

[0063] Based on historical patrol mission data, hotspot area route templates are generated. When the same disaster-stricken area mission is executed again, the hotspot area route templates are directly called to control the drone flight.

[0064] Specifically, the drone flight path is determined based on the distribution of power grid areas in the disaster-stricken area. The concentrators are mainly located in urban or rural areas. In urban areas, the concentrators are mainly installed in basements or on utility poles, while in rural areas, they are mainly installed in ground-based substations or on utility poles. Taking into account factors such as the actual situation of the flood disaster, the drone's endurance, and flight restrictions, in the pilot application scenario of the emergency communication method for collecting electricity information based on drones, the GPS coordinates of the concentrators installed on ground-based utility poles in the disaster-stricken area are used as the route nodes to plan an initial cruise path covering all power grid areas in the disaster-stricken area, and the initial cruise path is dynamically optimized according to real-time mission requirements.

[0065] Under normal circumstances, drones have low endurance, and civilian drones are limited to a maximum flight time of 30 minutes beyond visual line of sight. Therefore, endurance is a primary constraint for drone operations, necessitating careful consideration of this limitation when using drones for actual missions. Thus, after the drone's cruise begins, its remaining battery power is monitored in real time. When the remaining battery level falls below a preset threshold, route nodes marked as having lower priority than the set value are automatically removed from the subsequent path, ensuring that critical power consumption data is collected first. Furthermore, when the remaining battery level drops below the extreme low battery threshold, the drone is automatically controlled to return to the emergency command center, preventing crashes and losses, thus balancing mission completion rate and equipment safety.

[0066] As a preferred embodiment of the present invention: In step S4, the meter reader directly establishes an HRF communication network with the target radio station area concentrator through a fast search. The fast search includes a full-channel network search mode, a specific channel network search mode, and a user-defined network search mode. The specific method is as follows:

[0067] S4.1.1 The meter reader first adopts the user-defined network search mode, and performs a fast search based on the user-preset default channel list. The single channel search cycle is 1 minute.

[0068] S4.1.2 When no valid signal is detected in step S4.1.1, switch to the specific channel search mode. Starting from the user-input channel, traverse all channels in the search group of 12 channels in a 30-second cycle.

[0069] S4.1.3 If no valid signal is detected in step S4.1.2, start the full-channel network search mode, and traverse channels 1-80 according to option2 or channels 1-200 according to option3. The single-channel search period is 30 seconds.

[0070] Specifically, when a power supply station receives a flood disaster, the affected area may cover multiple power supply stations, and the wireless channels of each power supply station will not be the same. Therefore, in order to ensure that information from all power supply stations can be acquired in a short time, the meter reading and control device of the power consumption collection emergency terminal has a fast search function, which can quickly search between different channels and acquire information from multiple power supply station modules in a short time, thereby improving the speed and efficiency of emergency power consumption information collection in the affected power supply station.

[0071] In a preferred embodiment of the present invention, step S4, the construction of the HPLC+HRF dual-mode self-organizing network includes:

[0072] S4.2.1 The meter reader of the power consumption collection emergency terminal controls the CCO communication module to load the locally backed-up target radio station area concentrator data and simulate the target radio station area concentrator function as a temporary concentrator node.

[0073] S4.2.2 The temporary concentrator node broadcasts HRF wireless networking beacon frames and HPLC carrier networking beacon frames, wherein the beacon frames contain network topology type identifiers, frequency band parameters and hop count limits;

[0074] S4.2.3 After each meter node in the target radio area receives the beacon frame, it evaluates the performance indicators and selects the access mode. The performance indicators are calculated as follows:

[0075] HRF wireless performance metrics:

[0076]

[0077] HPLC carrier performance indicators:

[0078]

[0079] In formulas (1) and (2), ω is the transmit power of the meter node, HOP is the hop count from the current meter node to the virtual concentrator node, β is the weighting coefficient (0≤β≤1), RSSI is the signal strength, and C m This is the maximum number of hops allowed by the network.

[0080] When σ HRF ≥θ1 or σ HPLC ≥θ1, the meter node, as a STA terminal node, directly sends an association request to the temporary concentrator node;

[0081] When σ HRF <θ2 and σ HPLC When θ2 < θ1 (θ1 and θ2 are preset thresholds, θ2 < θ1), the meter node is converted into a PCO relay node, connects to the adjacent STA terminal node through the HPLC carrier channel, and forwards the association request to the temporary concentrator node;

[0082] S4.2.4 After each meter node is successfully associated, the routing information of the meter node is uploaded to the temporary concentrator node, a topology update command is broadcast, and the routing table of the entire network is updated.

[0083] S4.2.5 The meter reader reads the electricity consumption data of each meter node in the target electricity area in batches through the constructed HPLC+HRF dual-mode self-organizing network.

[0084] Specifically, in the HPLC+HRF dual-mode self-organizing network, both HRF and HPLC channels exist simultaneously between nodes. Networks can be formed using either HRF or HPLC channels individually, or a hybrid routing network can be created using both HRF and HPLC channels. The HRF and HPLC channels can complement each other's blind spots and deficiencies, resulting in a hybrid network with better performance and robustness.

[0085] The rapid self-organizing process of the HPLC+HRF dual-mode self-organizing network involves the emergency data acquisition terminal's data collector controlling the CCO communication module to load locally backed-up target radio area concentrator data, constructing temporary concentrator nodes. These temporary concentrators trigger tiered STA network access requests by sending central beacons, STA beacons, and proxy beacons, thus completing the entire network formation process. During this process, each node dynamically assesses its communication quality with neighboring nodes and autonomously selects either the HPLC or HRF network access channel. The specific steps for establishing the HPLC+HRF dual-mode self-organizing network include:

[0086] (a) Network initialization:

[0087] Temporary concentrator nodes broadcast HRF wireless networking beacon frames and HPLC carrier networking beacon frames, with the beacon frames carrying special identifiers.

[0088] (b) Communication performance evaluation

[0089] After receiving the network beacon frame instruction, the meter nodes in the target radio area evaluate the suitability of accessing the network and construct the routing judgment basis by combining RSSI and HOP. The specific HRF wireless communication performance evaluation is shown in formula (1), and the HPLC carrier communication performance evaluation formula is shown in formula (2). When the meter nodes access the self-organizing network, they are selected as PCO nodes (relay nodes) or ordinary nodes (STA nodes) to access the network through the above evaluation analysis.

[0090] (c) Rapid Network Setup

[0091] For meter nodes acting as ordinary nodes (STA nodes) directly connected to temporary concentrator nodes, they can perform network discovery operations after receiving beacon frames carrying special identifiers, and apply for network access by combining the acquired message frames. For meter nodes acting as PCO nodes (relay nodes) not directly connected to temporary concentrator nodes, they connect to adjacent STA nodes through the HPLC carrier channel, and after receiving beacons forwarded by adjacent STA nodes, they quickly apply for network access by following the beacons.

[0092] like Figure 4As shown, the HPLC+HRF dual-mode self-organizing network accesses all meter nodes in the disaster-stricken area using both wireless networking and carrier networking beacon frame methods. After each meter node is successfully associated, the temporary concentrator node receives the child node routing reply frame and then sends an instruction to the parent node unicast route to update the child node routing information, updating the entire network routing table. Ultimately, it can transmit and set information to the temporary concentrator node in batches, achieving effective transmission of meter information.

[0093] Example 2

[0094] like Figure 5 As shown, this embodiment provides an emergency communication system for electricity information collection. The system includes: a drone, a drone controller, a ground control terminal, an emergency electricity information collection terminal, and an emergency command center. The emergency electricity information collection terminal includes a meter reader, a CCO communication module, a low-power local wireless communication module, and a power supply. The emergency command center includes a local concentrator and a master station system. The system is used to implement a solution for emergency communication for electricity information collection using a drone, as described in Embodiment 1.

[0095] Specifically, the drones are from mainstream domestic brands, can carry a payload of more than 2 kilograms, have a flight distance of no less than 5 kilometers, can hover stably in the air for more than 20 minutes, have a flight endurance of more than 45 minutes, and are equipped with their own radio communication system.

[0096] The drone controller remotely controls the drone through its built-in radio communication system, allowing manual control of flight and video image transmission, with a remote communication distance of over 5 kilometers.

[0097] The ground control terminal is deployed on the ground operation terminal to remotely control the emergency power acquisition terminal, realize functions such as network topology information query and visualization, device version information management, acquisition / issuance of CCO table files, whitelist switch control, remote meter reading command issuance, and firmware upgrade of all network devices;

[0098] The emergency power consumption data collection terminal uses an aluminum alloy casing and integrates a data reader, CCO communication module, low-power local wireless communication module, and power supply. It can be installed and deployed on a drone to establish an emergency communication network with the power consumption area and read user power consumption data.

[0099] The meter reader analyzes the instructions issued by the ground control terminal, manages the operating status of the power consumption collection emergency communication terminal, and performs user power consumption data reading.

[0100] The CCO communication module establishes an emergency communication network with the user's radio station area through a dual-mode communication network of HPLC and HRF, and reads and records electricity consumption data.

[0101] The low-power local wireless communication module enables long-distance wireless communication through UART protocol conversion, establishing data interoperability between the ground terminal and the air terminal.

[0102] The power supply uses three 3.7V lithium-ion batteries connected in series to provide a 12V DC output, which can meet the terminal's usage requirements for more than 2 hours.

[0103] The emergency command center is located in a safe terrestrial area covered by 4G / 5G signals. It includes a local concentrator and a main station system, receiving and collecting user power consumption data to accurately assess the power outage area, guide the allocation of repair resources, and provide decision support for emergency command. Specifically:

[0104] The local concentrator receives and preprocesses the electricity consumption data transmitted back from the emergency power consumption data acquisition terminal, and then forwards it to the main station system.

[0105] The main station system receives and aggregates all electricity consumption data, and dynamically generates emergency repair resource scheduling plans based on big data analysis.

[0106] The electricity information collection and emergency communication system implemented in this project solves the problem of timeliness in electricity information collection under extreme environments by rapidly deploying emergency communication nodes using drones, and greatly improves the efficiency of emergency response. The high mobility of drones overcomes the limitations of terrain obstacles, while the lightweight design of the electricity emergency collection terminal ensures the practicality and reliability of the system.

[0107] This embodiment also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the emergency communication method for collecting electricity consumption information using a drone as described in Embodiment 1.

[0108] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product implemented 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. The solutions in the embodiments of this application can be implemented in various computer languages, such as the object-oriented programming language Java and the interpreted scripting language JavaScript.

[0109] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. 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... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0110] 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.

[0111] 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.

[0112] Although preferred embodiments of this application have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of this application.

[0113] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of this application. Therefore, if such modifications and variations fall within the scope of the claims of this application and their equivalents, this application also intends to include such modifications and variations.

Claims

1. A solution for emergency communication using drones for electricity consumption information collection, characterized in that, include: S1. The UAV, equipped with an emergency power consumption data collection terminal, flies to the target power consumption data collection area concentrator in the disaster area according to the preset route and hovers there. The emergency power consumption data collection terminal integrates a data collection controller, a CCO communication module, a low-power local wireless communication module and a power supply. S2. The ground control terminal establishes a communication connection with the meter reader of the power consumption collection emergency terminal through a low-power local wireless communication module. The meter reader receives and parses the instructions from the ground control terminal and drives the CCO communication module to perform communication operations. The S3 and CCO communication modules send a heartbeat request to the target radio area concentrator, and simultaneously start the response timeout timer and RSSI signal strength detection. S4. When a standard response frame containing the device ID and voltage value is received from the target radio station concentrator, the meter reader controls the CCO communication module to directly establish an HRF communication network with the target radio station concentrator and read the real-time electricity consumption data stored in the target radio station concentrator. When the response timeout timer expires and there is no response and RSSI ≤ the environmental noise threshold, the meter reader controls the CCO communication module to load the locally backed-up target radio station concentrator data and construct an HPLC+HRF dual-mode self-organizing network to read the electricity consumption data of each meter in the target radio station area in batches. S5. The meter reader performs protocol conversion and compression on the read electricity consumption data, and transmits the processed data to the local concentrator located in the safe area through the low-power local wireless communication module. The local concentrator then uploads the received data to the main station system. S6. The drone flies to the next target radio station in the disaster area according to the preset route, and repeats steps S1-S5.

2. The solution for emergency communication using drones for electricity information collection according to claim 1, characterized in that: In step S1, the preset route planning includes: S1.1 Based on the distribution data of radio stations in the disaster-stricken area and the endurance of UAVs, the initial cruise path covering all radio stations in the disaster-stricken area is planned, with the GPS coordinates of each radio station concentrator as the route node. S1.

2. When the UAV visits the radio stations in the disaster area one by one according to the initial cruise path, the initial cruise path is dynamically optimized according to real-time mission requirements, including: Upon arrival at each waypoint, priority is given to scanning the target radio area concentrator signal within the preset default communication channel group; The system monitors the remaining battery power of the drone in real time. When the remaining battery power is lower than a preset threshold, it automatically deletes route nodes marked as having a lower priority than the set value in the subsequent path, and controls the drone to return automatically when the remaining battery power is lower than the extreme low battery threshold. Based on historical patrol mission data, hotspot area route templates are generated. When the same disaster-stricken area mission is executed again, the hotspot area route templates are directly called to control the drone flight.

3. The solution for emergency communication using drones for electricity information collection according to claim 1, characterized in that: In step S4, the meter reader directly establishes an HRF communication network with the target radio station area concentrator through a fast search. The fast search includes a full-channel network search mode, a specific-channel network search mode, and a user-defined network search mode. The specific method is as follows: S4.1.1 The meter reader first adopts the user-defined network search mode, and performs a fast search based on the user-preset default channel list. The single channel search cycle is 1 minute. S4.1.2 When no valid signal is detected in step S4.1.1, switch to the specific channel search mode. Starting from the user-input channel, traverse all channels in the search group of 12 channels in a 30-second cycle. S4.1.3 If no valid signal is detected in step S4.1.2, start the full-channel network search mode, and traverse channels 1-80 according to option2 or channels 1-200 according to option3. The single-channel search period is 30 seconds.

4. The solution for emergency communication using drones for electricity information collection according to claim 1, characterized in that: In step S4, the construction of the HPLC+HRF dual-mode self-organizing network includes: S4.2.1 The meter reader of the power consumption collection emergency terminal controls the CCO communication module to load the locally backed-up target radio station area concentrator data and simulate the target radio station area concentrator function as a temporary concentrator node. S4.2.2 The temporary concentrator node broadcasts HRF wireless networking beacon frames and HPLC carrier networking beacon frames, wherein the beacon frames contain network topology type identifiers, frequency band parameters and hop count limits; S4.2.3 After each meter node in the target radio area receives the beacon frame, it evaluates the performance indicators and selects the access mode. The performance indicators are calculated as follows: HRF wireless performance metrics: HPLC carrier performance indicators: In formulas (1) and (2), ω is the transmit power of the meter node, HOP is the hop count from the current meter node to the virtual concentrator node, β is the weighting coefficient (0≤β≤1), RSSI is the signal strength, and C m This is the maximum number of hops allowed by the network. When σ HRF ≥θ1 or σ HPLC ≥θ1, the meter node, as a STA terminal node, directly sends an association request to the temporary concentrator node; When σ HRF < θ2 and σ HPLC < θ2 (θ1 and θ2 are preset thresholds, θ2 < θ1), the electricity meter node is converted into a PCO relay node, connects to adjacent STA terminal nodes through the HPLC carrier channel, and forwards an association request to the temporary concentrator node; S4.2.4 After each meter node is successfully associated, the routing information of the meter node is uploaded to the temporary concentrator node, a topology update command is broadcast, and the routing table of the entire network is updated. S4.2.5 The meter reader reads the electricity consumption data of each meter node in the target electricity area in batches through the constructed HPLC+HRF dual-mode self-organizing network.

5. An emergency communication system for collecting electricity information, characterized in that, The system includes: a drone, a drone controller, a ground control terminal, an emergency power consumption data acquisition terminal, and an emergency command center. The emergency power consumption data acquisition terminal includes a data reader, a CCO communication module, a low-power local wireless communication module, and a power supply. The emergency command center includes a local concentrator and a master station system. The system is used to implement a solution for emergency communication in power consumption data acquisition using a drone as described in any one of claims 1-4.

6. A computer-readable storage medium storing executable instructions of the system of claim 5, characterized in that, When executed by the processor included in the system of claim 5, the instructions are used to implement a solution for emergency communication using a drone for collecting electricity information as described in any one of claims 1-4.

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