Fire linkage control method of unmanned aerial vehicle and related device

Abstract

The invention discloses a fire linkage control method, a fire linkage control device, fire linkage control equipment and a computer readable storage medium for an unmanned aerial vehicle, and the method comprises the steps: enabling the unmanned aerial vehicle to execute the take-off operation when receiving fire alarm data; a corresponding unmanned aerial vehicle flight route is matched based on the position information of the fire alarm data, and flight operation is executed according to the unmanned aerial vehicle flight route; when the fire position is reached, fire inspection operation is executed based on a preset safety distance to obtain fire condition data; and sending the fire condition data to a background server, so that the background server sends disposal data based on the fire condition data. Therefore, the efficiency of checking and disposing the fire environment is improved, the fire behavior can be judged timely and accurately, and the effectiveness of fire-fighting measures is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of fire fighting equipment, and more specifically, relates to a fire linkage control method for an unmanned aerial vehicle, a fire linkage control device, a fire linkage control equipment, and a computer-readable storage medium. Background Art

[0002] Firefighting is vital to protecting people’s lives and property. Traditional firefighting methods have gradually revealed some shortcomings in the face of increasingly complex fire scenes.

[0003] In the related art, when a fire occurs, the existing fire disposal process usually transmits the fire alarm signal to the background system after it is detected. When the fire automatic start conditions are met, the fire protection system automatically starts. Then, the background will use on-site inspections by personnel or remote video to check the alarm signal to confirm whether the fire has actually occurred, and then take further disposal measures.

[0004] On-site inspection is a direct method, but it has many risks. Fire scenes are often accompanied by dangerous conditions such as high temperature, thick smoke, toxic gases, and building collapse, which pose a serious threat to the life safety of inspectors. Moreover, in a complex fire environment, it is difficult to obtain accurate information about the fire scene, resulting in insufficient timely and accurate judgment of the fire, which in turn affects the effectiveness of subsequent firefighting measures.

[0005] Although remote video inspection avoids direct exposure of personnel to dangerous environments, it also has obvious defects. Monitoring equipment may have limited coverage and blind spots, making it impossible to fully grasp the situation at the fire scene. At the same time, video images may become blurred due to smoke, dust and other factors generated by the fire, affecting the judgment of key information such as the development of the fire and the location of the fire source. In addition, the rapid changes in the fire may cause the video information to have a certain lag, unable to reflect the latest situation at the scene in real time, which is not conducive to making timely and accurate disposal decisions.

[0006] Therefore, how to improve the efficiency of inspecting and handling the fire environment, timely and accurately judge the size of the fire, and improve the effectiveness of firefighting measures are key issues that technical personnel in this field are concerned about. Summary of the invention

[0007] The purpose of this application is to provide a fire linkage control method, a fire linkage control device, a fire linkage control equipment, and a computer-readable storage medium for an unmanned aerial vehicle, so as to improve the efficiency of inspecting and handling the fire environment, timely and accurately judge the size of the fire, and improve the effectiveness of fire fighting measures.

[0008] In view of the above defects or improvement needs of the prior art, the present invention provides a fire linkage control method for a drone, comprising:

[0009] When receiving fire alarm data, the drone performs takeoff operation;

[0010] Matching a corresponding UAV flight route based on the location information of the fire alarm data, and performing a flight operation according to the UAV flight route;

[0011] When arriving at the fire location, a fire inspection operation is performed based on a preset safety distance to obtain fire situation data;

[0012] The fire situation data is sent to a background server so that the background server sends disposal data based on the fire situation data.

[0013] Optionally, matching a corresponding drone flight route based on the location information of the fire alarm data includes:

[0014] Get three-dimensional map information;

[0015] The shortest UAV flight route is matched on the three-dimensional map information based on the location information of the fire alarm data.

[0016] Optionally, when arriving at the fire location, a fire inspection operation is performed based on a preset safety distance to obtain fire situation data, including:

[0017] When arriving at the fire location, the drone performs preliminary analysis based on the photos taken to obtain the safe inspection distance and inspection range;

[0018] A fire inspection operation is performed based on the safety inspection distance and the inspection range to obtain the fire situation data.

[0019] Optionally, the background server sends disposal data based on the fire situation data, including:

[0020] The backend server performs analysis based on the fire situation data to obtain fire level data;

[0021] The corresponding disposal data is matched based on the fire level data, and the disposal data is sent according to a preset path.

[0022] The present application also provides a fire linkage control device for a drone, comprising:

[0023] Unmanned take-off module, used to execute take-off operation when receiving fire alarm data;

[0024] A UAV flight module, used to match a corresponding UAV flight route based on the location information of the fire alarm data, and perform flight operations according to the UAV flight route;

[0025] The drone inspection module is used to perform fire inspection operations based on a preset safety distance when arriving at the fire location to obtain fire situation data;

[0026] The disposal data sending module is used to send the fire situation data to the background server, so that the background server sends disposal data based on the fire situation data.

[0027] Optionally, the drone flight module is specifically used to obtain three-dimensional map information; and match the shortest drone flight route on the three-dimensional map information based on the location information of the fire alarm data.

[0028] Optionally, the drone inspection module is specifically used for, when arriving at the fire location, the drone performs preliminary analysis and processing based on the photographs taken to obtain a safe inspection distance and an inspection range; and performs a fire inspection operation based on the safe inspection distance and the inspection range to obtain the fire situation data.

[0029] Optionally, the disposal data sending module is specifically used to analyze the fire situation data to obtain fire level data; match the corresponding disposal data based on the fire level data, and send the disposal data according to a preset path.

[0030] The present application also provides a fire linkage control device, comprising:

[0031] Memory for storing computer programs;

[0032] A processor is used to implement the steps of the fire linkage control method as described above when executing the computer program.

[0033] The present application also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the fire linkage control method described above are implemented.

[0034] The present application provides a fire linkage control method for an unmanned aerial vehicle, comprising: when fire alarm data is received, the unmanned aerial vehicle performs a take-off operation; based on the location information of the fire alarm data, the corresponding unmanned aerial vehicle flight route is matched, and a flight operation is performed according to the unmanned aerial vehicle flight route; when the fire location is reached, a fire inspection operation is performed based on a preset safety distance to obtain fire situation data; and the fire situation data is sent to a background server so that the background server sends disposal data based on the fire situation data.

[0035] It has the following beneficial effects:

[0036] By taking off immediately after receiving the fire alarm data, the drone can significantly shorten the startup time compared to traditional methods, and can obtain information in time when the fire first breaks out, seize the initiative for firefighting decision-making and action, and reduce losses. In addition, the precise planning of the flight route improves the efficiency and safety of the drone arriving at the fire scene, reduces flight time, avoids risks, and ensures the timeliness and completeness of information acquisition. Then, the preset safety distance check ensures the safety of the drone, protects it from fire hazards, extends its service life, and continuously provides accurate data. Finally, efficient interaction with the background server can make scientific decisions, accurately deploy firefighting forces, improve the efficiency of inspecting and handling the fire environment, and timely and accurately judge the size of the fire, thereby improving the effectiveness of firefighting measures. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0038] Figure 1 A flow chart of a fire linkage control method for a drone provided in an embodiment of the present application;

[0039] Figure 2 A schematic diagram of the structure of a fire linkage control device for a drone provided in an embodiment of the present application;

[0040] Figure 3 A schematic diagram of the structure of the fire linkage control device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0041] The purpose of this application is to provide a fire linkage control method, a fire linkage control device, a fire linkage control equipment, and a computer-readable storage medium for an unmanned aerial vehicle, so as to improve the efficiency of inspecting and handling the fire environment, timely and accurately judge the size of the fire, and improve the effectiveness of fire fighting measures.

[0042] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0043] The following is an example of an embodiment to illustrate a fire linkage control method for a drone provided by the present application.

[0044] Please refer to Figure 1 , Figure 1 A flow chart of a fire linkage control method for a drone provided in an embodiment of the present application.

[0045] In this embodiment, the method may include:

[0046] S101, when receiving fire alarm data, the UAV performs a take-off operation;

[0047] The fire alarm data in this step is the starting signal that triggers the drone to intervene in the fire handling process. In the fire protection system, various types of fire detection equipment (such as smoke alarms, temperature sensors, etc.) are distributed in areas where fires may occur. When these devices detect fire-related characteristics (such as smoke concentration exceeding the threshold, temperature rising sharply, etc.), they will transmit the alarm signal to the background server. The background server integrates and analyzes these alarm signals, and once it is confirmed that they meet certain fire alarm rules, it generates fire alarm data. This data contains key information such as the location where the fire may occur. The drone receives this fire alarm data through the communication link established with the background server, uses it as a command to start the take-off program, and quickly engages in inspection work at the fire scene.

[0048] The drone is equipped with a communication module that can receive signals from the backend server in real time. When the communication module receives the fire alarm data sent by the backend server, it triggers the flight control system inside the drone.

[0049] The flight control system starts the drone's power device, such as a motor or engine, so that the drone's rotor starts to rotate and generate lift, thereby achieving takeoff. During takeoff, the flight control system will also stabilize the drone's attitude according to preset programs and sensor feedback (such as barometers, gyroscopes, etc.) to ensure safe takeoff.

[0050] S102, matching the corresponding UAV flight route based on the location information of the fire alarm data, and performing a flight operation according to the UAV flight route;

[0051] Based on S101, the location information in the fire alarm data in this step determines the flight destination of the drone, that is, the approximate location of the fire scene. In order for the drone to reach the fire scene safely and efficiently, it is necessary to plan a suitable flight route based on its location information. The system pre-stores flight route plans corresponding to different areas or equipment. These plans are based on geographic information (such as terrain, building distribution, etc.), airspace restrictions (such as no-fly zones, height-restricted zones, etc.) and safety considerations (such as avoiding obstacles, densely populated areas, etc.). By matching the location information in the fire alarm data with the pre-stored flight route plan, the optimal or feasible flight path for the drone to reach the fire scene from the current location is determined, and then the drone performs flight operations according to this path.

[0052] First, the drone obtains the location information (such as longitude and latitude coordinates) in the fire alarm data.

[0053] Next, the three-dimensional map information (including terrain, buildings, obstacles, etc.) is obtained from local storage or by interacting with the backend server.

[0054] Then, a path planning algorithm (such as A* algorithm, Di jkstra algorithm, etc.) is used to search for the optimal or qualified flight route from the current position of the drone to the fire location on the three-dimensional map. The route needs to avoid no-fly zones, obstacles, etc.

[0055] Finally, the flight control system of the drone controls the flight attitude, speed and direction of the drone according to the planned flight route, and flies to the fire scene along the predetermined route. During the flight, the drone monitors its position in real time through its own positioning system (such as GPS, Beidou, etc.) to ensure the accuracy of the flight route, and makes real-time adjustments as needed (such as encountering sudden airflow, etc.).

[0056] S103, when arriving at the fire location, performing a fire inspection operation based on a preset safety distance to obtain fire situation data;

[0057] On the basis of S102, in this step, when the drone arrives near the fire location, due to the presence of dangerous factors such as high temperature, thick smoke, and explosion at the fire scene, in order to ensure the safety of the drone itself and obtain accurate and effective fire information, it is necessary to perform inspection operations at a relatively safe distance. The preset safety distance is determined based on factors such as the performance of the drone, the characteristics of the detection equipment carried, and the range of dangers that may be caused by the fire. Outside the safe distance, the drone uses various detection equipment carried (such as high-definition cameras, thermal imagers, gas sensors, etc.) to conduct a full-scale monitoring of the fire scene, and integrates and analyzes the detected information (such as images, temperature distribution, gas composition and concentration, etc.), so as to obtain data on the fire situation, including the size of the fire, the location of the fire source, the type of burning material, the direction of fire spread, etc.

[0058] After the drone arrives at the fire location, it calculates the distance to the fire source through distance sensors (such as laser rangefinders) or based on the positioning system to ensure that it is outside the preset safety distance.

[0059] Various detection equipment on board are activated, such as high-definition cameras to capture visible light images of the fire scene, thermal imagers to detect the temperature distribution of the fire source and surrounding objects, and gas sensors to analyze the composition and concentration of harmful gases in the air (such as carbon monoxide, carbon dioxide, etc.).

[0060] The data acquired by these detection devices are transmitted to the drone's onboard processing unit, which performs preliminary processing on the data (such as image enhancement, data fusion, etc.), and then packages the processed data into fire situation data, ready to be sent to the backend server.

[0061] S104, sending the fire situation data to the background server, so that the background server sends the disposal data based on the fire situation data.

[0062] On the basis of S103, the fire situation data obtained by the drone in this step is an important basis for fire command decision-making, but the computing and storage resources of the drone itself are limited, and it is impossible to conduct a comprehensive and in-depth analysis and decision-making on the fire situation. Therefore, it is necessary to transmit the fire situation data to the background server in real time. The background server has powerful computing power and rich database resources. After receiving the fire situation data sent by the drone, it combines the pre-stored fire disposal plan, fire model, building information and other data to conduct a comprehensive analysis of the fire situation, judge the level of the fire, possible development trend, etc., and then match the corresponding disposal data according to the analysis results, including the type and number of firefighting forces dispatched, the selection of appropriate firefighting equipment and tactics, and the planning of rescue routes.

[0063] The drone sends fire situation data to the backend server through wireless communication technology. During the communication process, the data will be encrypted to ensure the security and integrity of data transmission.

[0064] After receiving the data, the backend server first decodes and verifies the data to ensure that the data is accurate. Then, it uses data analysis algorithms (such as machine learning algorithms, expert systems, etc.) to process the fire situation data and extract key information, such as the size of the fire, the speed of spread, and the burning material.

[0065] Based on these key information, the database is searched for matching disposal plans or rules to generate specific disposal data, including the allocation of fire trucks, the deployment of firefighters, the selection of fire extinguishing agents, etc., and these disposal data are sent to relevant fire execution units (such as fire truck terminals, firefighter handheld terminals, etc.).

[0066] In summary, in this embodiment, the drone takes off immediately after receiving the fire alarm data, which greatly shortens the startup time compared to the traditional method, and can obtain information in time when the fire starts, seize the initiative for firefighting decision-making and action, and reduce losses. In addition, the flight route is accurately planned to improve the efficiency and safety of the drone arriving at the fire scene, reduce flight time, avoid risks, and ensure the timeliness and completeness of information acquisition. Then, the preset safety distance check ensures the safety of the drone, protects it from fire hazards, extends its service life, and continuously provides accurate data. Finally, efficient interaction with the background server is carried out to make scientific decisions, accurately deploy firefighting forces, improve the efficiency of inspecting and handling the fire environment, and timely and accurately judge the size of the fire, thereby improving the effectiveness of firefighting measures.

[0067] Optionally, matching the corresponding UAV flight route based on the location information of the fire alarm data includes:

[0068] Step 1, obtaining three-dimensional map information;

[0069] Step 2: Match the shortest UAV flight route on the three-dimensional map information based on the location information of the fire alarm data.

[0070] In this optional solution, in order to match the corresponding UAV flight route based on the location information of the fire alarm data, it is necessary to use three-dimensional map information to build a real spatial environment model. Three-dimensional map information contains rich geospatial data such as terrain height, building distribution, and obstacle location. By obtaining this information, the UAV can simulate the flight path in a virtual three-dimensional space to find the optimal or feasible route from the current location to the fire location. The principle of doing this is to use geographic information system (GIS) technology to digitize the geographic spatial features of the real world, and use path planning algorithms to search and calculate in this digital space to determine the best flight trajectory.

[0071] Get 3D map information:

[0072] The drone can obtain three-dimensional map information through a pre-stored local map database. During the system initialization phase, the three-dimensional map data containing a specific area is downloaded and stored in the drone's storage device. This data can be the result of processing obtained through satellite mapping, aerial photogrammetry, etc.

[0073] Alternatively, the drone can establish a real-time connection with the backend server to obtain the latest 3D map information from the server. The backend server updates and maintains the map data in real time, ensuring that the drone uses the most accurate and timely geographic information.

[0074] Match the shortest drone flight route on the 3D map information based on the location information of the fire alarm data:

[0075] First, the coordinate information of the fire location (such as longitude, latitude and altitude, etc.) is extracted from the fire alarm data.

[0076] These coordinates are then fed into a path planning algorithm, along with the 3D map information, which takes into account factors such as terrain undulations (to prevent the drone from hitting mountains or highlands), building heights and distribution (to prevent collisions with buildings), and no-fly and restricted-fly zones (to ensure that the flight is legal and compliant).

[0077] Commonly used path planning algorithms such as the A* algorithm and the Dijkstra algorithm will calculate multiple possible paths from the current location of the drone to the fire location, and select the best flight route based on the set optimization goals (such as the shortest path, the fastest arrival time, etc.). During the calculation process, the algorithm will assign a cost value to each path node. This cost value takes into account factors such as distance, terrain difficulty, and obstacle risk, and finally finds the path with the lowest total cost as the matching flight route.

[0078] In this option, the 3D map information provides precise geospatial references, enabling the drone to accurately navigate in complex environments, avoiding flight deviations or accidents caused by factors such as terrain and obstacles, and ensuring that the drone can safely and accurately reach the fire scene. By matching the shortest flight route, the drone can reduce flight time and energy consumption. In fire emergency response, time is life, and quickly reaching the fire scene can obtain fire information more promptly, buy more valuable time for subsequent firefighting and rescue operations, and improve the overall firefighting efficiency.

[0079] Optionally, when arriving at the fire location, a fire inspection operation is performed based on a preset safety distance to obtain fire situation data, including:

[0080] Step 1: When arriving at the fire location, the drone performs preliminary analysis based on the photos taken to obtain the safe inspection distance and inspection range;

[0081] Step 2: Perform a fire inspection operation based on the safety inspection distance and inspection range to obtain fire situation data.

[0082] In this optional solution, when the drone arrives at the fire location, in order to obtain the most valuable fire situation data while ensuring its own safety, it is necessary to dynamically determine the safety inspection distance and inspection range based on the actual situation on site. Use the shooting equipment (such as a high-definition camera) carried by the drone to take photos of the fire scene, and then obtain relevant information by performing preliminary analysis and processing on the photos. This is based on computer vision technology, which identifies and analyzes the features in the image (such as flame color, smoke shape, building outline, etc.) to determine the approximate scope and degree of danger of the fire, and then determine the appropriate safety inspection distance and inspection range to ensure that the drone can effectively monitor the fire situation and stay away from dangerous areas.

[0083] When arriving at the fire location, the drone performs preliminary analysis based on the photos taken to obtain the safe inspection distance and inspection range:

[0084] When the drone arrives near the fire scene, it immediately starts the high-definition camera and shoots the fire scene according to the preset shooting angle and range to obtain a series of image data of the fire scene.

[0085] The captured photos were analyzed using the onboard image processing software. First, image preprocessing was performed, including image enhancement (improving image contrast, clarity, etc.) and noise removal to improve image quality for subsequent analysis.

[0086] Then, the image recognition algorithm is used to identify key elements in the image, such as flames and smoke. By analyzing the color, brightness, shape and other characteristics of the flames, as well as the concentration and diffusion direction of the smoke, the preset algorithm model is combined to estimate the scale and danger of the fire.

[0087] According to the scale and danger of the fire, the appropriate safe inspection distance is calculated by referring to the pre-set safety distance calculation rules (which take into account factors such as the heat resistance, wind resistance, and battery life of the drone). At the same time, the inspection range that can fully cover the fire scene is determined based on the distribution range of the fire area in the image and parameters such as the camera's viewing angle and resolution.

[0088] Perform fire inspection operations based on the safety inspection distance and inspection range to obtain fire situation data:

[0089] The drone adjusts its position according to the determined safe inspection distance to ensure that it maintains a safe distance from the fire scene. Then, outside the safe distance, it uses a variety of detection equipment (such as thermal imagers, gas sensors, etc.) to comprehensively monitor the fire situation within the inspection range.

[0090] Thermal imagers can obtain temperature distribution data at the fire scene and determine the location of the fire source, the direction of fire spread, and other information by analyzing temperature differences. Gas sensors can detect the concentration of harmful gases in the air (such as carbon monoxide, carbon dioxide, volatile organic compounds, etc.), thereby understanding the type of burning material and the degree of fire.

[0091] The data obtained by these detection devices are integrated and pre-processed, such as data calibration and format conversion, to finally obtain fire situation data containing information such as fire size, fire source location, burning material type, and fire spread direction.

[0092] In this optional solution, the safe inspection distance and inspection range are dynamically determined according to the actual situation on site, so that the drone can adapt to fire scenes of different sizes and types, flexibly adjust the monitoring strategy, and improve the applicability and effectiveness of drones in complex fire environments. By determining the inspection parameters through preliminary analysis of the photos taken, the key areas of the fire can be located more accurately, so that the detection equipment can focus on the most valuable monitoring range, thereby obtaining more accurate and detailed fire situation data, providing a more reliable basis for fire command decision-making.

[0093] Optionally, the background server sends disposal data based on the fire situation data, including:

[0094] Step 1: The backend server analyzes the fire situation data to obtain fire level data;

[0095] Step 2: Match the corresponding disposal data based on the fire level data and send the disposal data according to the preset path.

[0096] In this optional solution, the backend server analyzes the fire situation data sent by the drone in order to quantitatively evaluate the severity and development trend of the fire, thereby providing a basis for formulating a reasonable disposal strategy. By establishing a fire model and applying data analysis algorithms, various parameters in the fire situation data (such as fire size, type of burning material, fire spread speed, etc.) are converted into fire level data that can be used for decision-making. Then, the corresponding disposal data is matched according to the fire level data. These disposal data are pre-formulated response plans for different fire levels and scenarios, including the deployment of firefighting resources, the selection of firefighting tactics, the planning of rescue operations, etc. Finally, the disposal data is sent to the relevant execution unit according to the preset path to guide the firefighting operations on the scene.

[0097] The backend server analyzes the fire situation data and obtains the fire level data:

[0098] After the background server receives the fire situation data sent by the drone, it first parses and organizes the data to extract key information, such as the size of the fire (calculating the flame area, temperature peak, etc. through thermal imager data), the type of burning material (inferred based on the gas composition detected by the gas sensor), and the speed of fire spread (comparing the changes in the fire area in images taken at different times).

[0099] Input these key information into the pre-established fire assessment model. The fire assessment model can be a mathematical model based on physical principles (such as a fire dynamics model) or an intelligent model trained by a machine learning algorithm. The model calculates and analyzes the input data and outputs fire level data. Fires are usually divided into different levels (such as mild, moderate, severe, etc.), each of which corresponds to different danger levels and disposal requirements.

[0100] Match the corresponding disposal data based on the fire level data and send the disposal data according to the preset path:

[0101] The backend server searches the database for the corresponding disposal plan or disposal rule based on the fire level data. The disposal data includes fire resource deployment information (such as the type and number of dispatched fire trucks, the number of firefighters and their equipment, etc.), fire extinguishing tactic selection (such as the application scenarios and operation points of water spraying, foam extinguishing, dry powder extinguishing, etc.), and rescue action planning (such as evacuation route planning, rescue personnel action sequence, etc.).

[0102] After the disposal data is determined, it is sent to the relevant execution unit according to the preset path. The preset path can be to send the data to the fire truck terminal, firefighter handheld terminal, fire command center large screen and other equipment through a wired or wireless communication network (such as a fire-dedicated communication network, 4G / 5G network, etc.), to ensure that relevant personnel can obtain disposal instructions in a timely manner and perform corresponding actions.

[0103] In this optional solution, fire level data is obtained based on accurate fire situation data analysis, so that fire commanders can understand the severity of the fire more intuitively and accurately, so as to choose the most appropriate disposal plan, avoid blind decision-making, and improve the scientificity and effectiveness of fire disposal. Rapid matching and sending of disposal data can timely convey the decision of the command center to the on-site execution unit, so as to achieve rapid response and coordinated operations of firefighting operations. Each firefighting force can carry out work in an orderly manner according to unified disposal instructions, improve the overall firefighting and rescue efficiency, and reduce fire losses.

[0104] A fire linkage control device for a drone provided in an embodiment of the present application is introduced below. The fire linkage control device for a drone and a fire linkage control method for a drone described below can be referenced to each other.

[0105] Please refer to Figure 2 , Figure 2 A schematic diagram of the structure of a fire linkage control device for an unmanned aerial vehicle provided in an embodiment of the present application.

[0106] In this embodiment, the device may include:

[0107] The unmanned take-off module 100 is used to perform a take-off operation when receiving fire alarm data;

[0108] The UAV flight module 200 is used to match the corresponding UAV flight route based on the location information of the fire alarm data and perform flight operations according to the UAV flight route;

[0109] The drone inspection module 300 is used to perform a fire inspection operation based on a preset safety distance when arriving at the fire location to obtain fire situation data;

[0110] The disposal data sending module 400 is used to send the fire situation data to the background server, so that the background server sends the disposal data based on the fire situation data.

[0111] Optionally, the drone flight module 200 is specifically used to obtain three-dimensional map information; and match the shortest drone flight route on the three-dimensional map information based on the location information of the fire alarm data.

[0112] Optionally, the drone inspection module 300 is specifically used for, when arriving at the fire location, the drone performs preliminary analysis and processing based on the photographs taken to obtain a safe inspection distance and inspection range; performs fire inspection operations based on the safe inspection distance and inspection range to obtain fire situation data.

[0113] Optionally, the disposal data sending module 400 is specifically used to analyze the fire situation data to obtain fire level data; match the corresponding disposal data based on the fire level data, and send the disposal data according to a preset path.

[0114] This application also provides fire linkage control equipment, please refer to Figure 3 , Figure 3 This is a schematic diagram of the structure of a fire linkage control device provided in an embodiment of the present application. The fire linkage control device may include:

[0115] Memory for storing computer programs;

[0116] The processor can implement the steps of any of the above-mentioned fire linkage control methods for unmanned aerial vehicles when executing a computer program.

[0117] like Figure 3FIG. 1 is a schematic diagram of the structure of a fire linkage control device, which may include a processor 10, a memory 11, a communication interface 12, and a communication bus 13. The processor 10, the memory 11, and the communication interface 12 communicate with each other through the communication bus 13.

[0118] In the embodiment of the present application, the processor 10 may be a central processing unit (CPU), an application specific integrated circuit, a digital signal processor, a field programmable gate array or other programmable logic devices.

[0119] The processor 10 may call a program stored in the memory 11. Specifically, the processor 10 may execute operations in an embodiment of the abnormal IP identification method.

[0120] The memory 11 is used to store one or more programs, which may include program codes, and the program codes include computer operation instructions. In the embodiment of the present application, the memory 11 at least stores programs for implementing the following functions:

[0121] When receiving fire alarm data, the drone performs takeoff operation;

[0122] Match the corresponding UAV flight route based on the location information of the fire alarm data, and perform flight operations according to the UAV flight route;

[0123] When arriving at the fire location, a fire inspection operation is performed based on a preset safety distance to obtain fire situation data;

[0124] The fire situation data is sent to a background server so that the background server sends disposal data based on the fire situation data.

[0125] In a possible implementation, the memory 11 may include a program storage area and a data storage area, wherein the program storage area may store an operating system and an application required for at least one function, etc.; the data storage area may store data created during use.

[0126] In addition, the memory 11 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device or other volatile solid-state storage device.

[0127] The communication interface 12 may be an interface of a communication module, and is used to connect to other devices or systems.

[0128] Of course, it should be noted that Figure 3 The structure shown does not constitute a limitation on the fire linkage control device in the embodiment of the present application. In actual applications, the fire linkage control device may include Figure 3More or fewer components than shown, or combinations of certain components.

[0129] The present application also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of any of the above-mentioned fire linkage control methods for unmanned aerial vehicles can be implemented.

[0130] The computer-readable storage medium may include: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes.

[0131] For an introduction to the computer-readable storage medium provided in this application, please refer to the above method embodiment, and this application will not go into details here.

[0132] The various embodiments in the specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.

[0133] Professionals may further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in the above description according to function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0134] The steps of the method or algorithm described in conjunction with the embodiments disclosed herein may be implemented directly using hardware, a software module executed by a processor, or a combination of the two. The software module may be placed in a random access memory (RAM), a memory, a read-only memory (ROM), an electrically programmable ROM, an electrically erasable programmable ROM, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

[0135] The above is a detailed introduction to the fire linkage control method, fire linkage control device, fire linkage control equipment, and computer-readable storage medium of a drone provided by the present application. Specific examples are used herein to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea. It should be pointed out that for ordinary technicians in this technical field, without departing from the principles of the present application, several improvements and modifications can be made to the present application, and these improvements and modifications also fall within the scope of protection of the claims of the present application.

Claims

1. A fire linkage control method for an unmanned aerial vehicle, characterized in that: include: When receiving fire alarm data, the drone performs takeoff operation; Matching a corresponding UAV flight route based on the location information of the fire alarm data, and performing a flight operation according to the UAV flight route; When arriving at the fire location, a fire inspection operation is performed based on a preset safety distance to obtain fire situation data; The fire situation data is sent to a background server so that the background server sends disposal data based on the fire situation data.

2. The fire linkage control method according to claim 1, characterized in that: Matching the corresponding UAV flight route based on the location information of the fire alarm data includes: Get three-dimensional map information; The shortest UAV flight route is matched on the three-dimensional map information based on the location information of the fire alarm data.

3. The fire linkage control method according to claim 2, characterized in that: When arriving at the fire location, perform fire inspection operations based on the preset safety distance to obtain fire situation data, including: When arriving at the fire location, the drone performs preliminary analysis based on the photos taken to obtain the safe inspection distance and inspection range; A fire inspection operation is performed based on the safety inspection distance and the inspection range to obtain the fire situation data.

4. The fire linkage control method according to claim 3, characterized in that: The backend server sends disposal data based on the fire situation data, including: The backend server performs analysis based on the fire situation data to obtain fire level data; The corresponding disposal data is matched based on the fire level data, and the disposal data is sent according to a preset path.

5. A fire linkage control device for an unmanned aerial vehicle, characterized in that: include: Unmanned take-off module, used to execute take-off operation when receiving fire alarm data; A UAV flight module, used to match a corresponding UAV flight route based on the location information of the fire alarm data, and perform flight operations according to the UAV flight route; The drone inspection module is used to perform fire inspection operations based on a preset safety distance when arriving at the fire location to obtain fire situation data; The disposal data sending module is used to send the fire situation data to the background server, so that the background server sends disposal data based on the fire situation data.

6. The fire linkage control device according to claim 5, characterized in that: The drone flight module is specifically used to obtain three-dimensional map information; and match the shortest drone flight route on the three-dimensional map information based on the location information of the fire alarm data.

7. The fire linkage control device according to claim 6, characterized in that: The drone inspection module is specifically used for, when arriving at the fire location, the drone performs preliminary analysis and processing based on the photographs taken to obtain a safe inspection distance and an inspection range; performs a fire inspection operation based on the safe inspection distance and the inspection range to obtain the fire situation data.

8. The fire linkage control device according to claim 7, characterized in that: The disposal data sending module is specifically used to analyze the fire situation data to obtain fire level data; match the corresponding disposal data based on the fire level data, and send the disposal data according to a preset path.

9. A fire linkage control device, characterized in that: include: Memory for storing computer programs; A processor is used to implement the steps of the fire linkage control method as claimed in any one of claims 1 to 4 when executing the computer program.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the fire linkage control method according to any one of claims 1 to 4 are implemented.

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