Operation early warning method and device, storage medium and electronic equipment

Abstract

The invention discloses an operation early warning method and device, a storage medium and electronic equipment, and relates to the technical field of data processing, and the method comprises the steps: firstly calling an unmanned plane to obtain image information in an operation area; then, based on the image information, determining a target operation factor which does not meet a safe operation condition in the operation area; and generating an operation early warning information result corresponding to the target operation factor, and finally calling the unmanned aerial vehicle to send the operation early warning information to the operation area. According to the invention, by calling the unmanned aerial vehicle for monitoring and early warning, the monitoring field of view of the operation area is effectively expanded, the problems that the manual monitoring field of view is limited and potential safety hazards are missed are reduced, comprehensive monitoring of the operation area and timely early warning of the target operation factor are realized, so that the accuracy and the real-time performance of operation early warning are improved, and the working efficiency is improved. Potential safety hazards in the operation process are reduced, and safe operation of operation equipment and operation safety of operators are guaranteed.

Description

Technical Field

[0001] This application relates to the technical field of data processing, and particularly to a job warning method, device, storage medium, and electronic device. Background Art

[0002] With the acceleration of the urbanization process, the number of high-rise buildings and large-scale infrastructure projects has increased. Monitoring the specific operation processes of each project and giving job warnings can help reduce casualties and property losses.

[0003] Currently, in the related art, manual monitoring is usually adopted to point out the potential safety hazards in the operation process on-site and give job warnings.

[0004] However, in many operation scenarios in the related art, there are complex terrains and areas that are difficult for humans to reach. The field of vision of manual monitoring is limited, and it is easy to miss potential safety hazards in the operation process and unable to give job warnings in a timely manner. Summary of the Invention

[0005] In view of this, this application provides a job warning method, device, storage medium, and electronic device, mainly aiming to improve the technical problem that in many operation scenarios in the related art, there are complex terrains and areas that are difficult for humans to reach, the field of vision of manual monitoring is limited, it is easy to miss potential safety hazards in the operation process, and unable to give job warnings in a timely manner.

[0006] In a first aspect, this application provides a job warning method, including:

[0007] Invoking a drone to obtain image information within a job area;

[0008] Based on the image information, determining target job factors in the job area that do not meet the safe operation conditions;

[0009] Generating job warning information corresponding to the target job factors;

[0010] Invoking the drone to send the job warning information to the job area.

[0011] In a second aspect, this application provides a job warning device, including:

[0012] An acquisition module configured to invoke a drone to obtain image information within a job area;

[0013] An acquisition module configured to determine target job factors in the job area that do not meet the safe operation conditions based on the image information;

[0014] A determination module configured to generate job warning information corresponding to the target job factors;

[0015] A determination module, configured to call the drone to send the operation warning information to the operation area.

[0016] In a third aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the operation warning method described in the first aspect is implemented.

[0017] In a fourth aspect, the present application provides an electronic device, including a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor. When the processor executes the computer program, the operation warning method described in the first aspect is implemented.

[0018] By means of the above technical solution, an operation warning method, device, storage medium and electronic device provided by the present application first call a drone to obtain image information in the operation area; then, based on the image information, determine target operation factors in the operation area that do not meet the safe operation conditions; then generate an operation warning information result corresponding to the target operation factors, and finally call the drone to send the operation warning information to the operation area. Compared with the current existing technologies, the present application can collect image information in the operation area in real time through a drone, and then, based on the image information, determine target operation factors for which the operation area meets the safe operation conditions to detect whether there are potential safety hazards in the operation area. Finally, call the drone to send the operation warning information corresponding to the target operation factors to the operation area. By means of monitoring and warning through a drone, the monitoring vision of the operation area is effectively expanded, the problem of limited manual monitoring vision and omission of potential safety hazards is reduced, comprehensive monitoring of the operation area and timely warning of target operation factors are realized, thereby improving the accuracy and timeliness of operation warning, reducing potential safety hazards in the operation process, and ensuring the safe operation of operation equipment and the operation safety of operation personnel.

[0019] The above description is only an overview of the technical solution of the present application. In order to be able to understand the technical means of the present application more clearly, it can be implemented according to the content of the specification. And in order to make the above and other purposes, features and advantages of the present application more obvious and understandable, the following specifically gives the specific embodiments of the present application. Description of the Drawings

[0020] The drawings here are incorporated into the specification and constitute a part of this specification, showing embodiments consistent with the present application, and are used together with the specification to explain the principles of the present application.

[0021] To more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the accompanying drawings required for the description of the embodiments or the prior art. Obviously, for those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0022] Figure 1 The flowchart of a job warning method provided by an embodiment of the present application is shown;

[0023] Figure 2 The flowchart of a job warning method provided by an embodiment of the present application is shown;

[0024] Figure 3 The structural diagram of a job warning device provided by an embodiment of the present application is shown. Detailed implementation manners

[0025] The embodiments of the present application will be described in more detail with reference to the accompanying drawings. It should be noted that, without conflict, the embodiments in the present application and the features in the embodiments can be combined with each other.

[0026] In order to improve the technical problems in the related art that there are complex terrains and areas difficult for humans to reach in many job scenarios, the artificial monitoring vision is limited, it is easy to miss potential safety hazards during the job process, and job warnings cannot be issued in a timely manner. This embodiment provides a job warning method, as Figure 1 shown, the method includes:

[0027] Step 101, call a drone to obtain image information in the job area.

[0028] Among them, the image information may include but is not limited to pictures, videos, visible light images, infrared images, thermal imaging images, etc. In some embodiments, the drone can be used as a mobile monitoring platform, carrying devices such as cameras, speakers, sensors, etc., to monitor the job area in real time in the air, maintain a real-time connection with the central control system through a wireless communication module, transmit image and video data, and receive control instructions, such as flight instructions, warning instructions, etc.

[0029] In a specific application scenario, various types of sensors can be deployed on the drone to collect environmental data and equipment status in the job area in real time. For example: deploy a vision sensor (camera) to obtain images or video information of the job area and identify the positions and behaviors of personnel and equipment; deploy an infrared sensor to detect temperature anomalies in the job area and identify high-temperature areas or fire hazards; deploy a lidar (LiDAR) to accurately measure the distances and positions of objects in the job area, which is suitable for obstacle detection in complex environments, etc.

[0030] Step 102: Based on the image information, determine the target operation factors in the operation area that do not meet the safe operation conditions.

[0031] In some embodiments, various operation factors in the operation area can be identified through image recognition or other means, and it can be determined whether the positions, behaviors, etc. of the various operation factors meet the safe operation conditions. The target operation factors that do not meet the safe operation conditions are determined from the various operation factors, so as to reduce potential safety hazards, and further ensure the safe operation of the equipment and the operation safety of personnel.

[0032] In some embodiments, the target operation factors may refer to the operation factors in the operation area that may cause accidents, injuries or property losses. The target operation factors may include, but are not limited to, physical factors, human factors, environmental factors, etc. that do not meet the safe operation conditions in the operation area. Among them, the physical factors may include equipment failures (such as aging, improper maintenance, etc.), the presence of obstacles, etc., the human factors may include improper operations by personnel, not wearing protective equipment (such as safety helmets, seat belts, etc.), illegal operations, etc., and the environmental factors may include bad weather, insufficient lighting, poor ventilation, slippery ground, etc. By identifying and evaluating the target operation factors, potential safety hazards can be determined, which is convenient for taking corresponding preventive measures in time and reducing the risk of accidents.

[0033] Step 103: Generate operation warning information corresponding to the target operation factors.

[0034] In some embodiments, operation warning information of different levels can be generated according to the type and severity of the target operation factors, such as: warning, alarm, emergency evacuation instruction, etc. Among them, the operation warning information may include warning equipment, warning personnel, warning instructions, warning measures, etc. Exemplarily, the warning measures may include evacuating the crowd, clearing obstacles, starting an emergency response, etc.

[0035] Step 104: Call the drone to send the operation warning information to the operation area.

[0036] In some embodiments, the operation warning information can be sent to the terminal device of the operation personnel corresponding to the operation warning information to ensure that the corresponding operation personnel can receive the warning in time and take corresponding measures. Through the method of drone monitoring and warning, the visual field of operation monitoring is effectively expanded, the problem of limited visual field of manual monitoring and omission of potential safety hazards is reduced, the comprehensive monitoring and optimization of the operation area are realized, and the timely warning of the target operation factors is achieved. Thus, the accuracy and real-time performance of operation warning are improved, the safe operation of operation equipment and the operation safety of operation personnel are guaranteed, and further the overall performance of the operation is effectively improved, the operation situations of errors and delays are reduced, and at the same time the manual monitoring cost is reduced.

[0037] Compared with the current existing technologies, in this embodiment, the image information in the operation area can be collected in real time by a drone. Then, based on the image information, the target operation factors that meet the safe operation conditions in the operation area are determined to detect whether there are potential safety hazards in the operation area. Finally, the drone is called to send the operation warning information corresponding to the target operation factors to the operation area. By using the drone for monitoring and warning, the monitoring vision of the operation area is effectively expanded, the problem of limited manual monitoring vision and omission of potential safety hazards is reduced, the comprehensive monitoring of the operation area and the timely warning of the target operation factors are realized, thereby improving the accuracy and timeliness of the operation warning, reducing the potential safety hazards in the operation process, and ensuring the safe operation of the operation equipment and the operation safety of the operation personnel.

[0038] To further illustrate the specific implementation process of the method in this embodiment, this embodiment provides the specific method as shown in Figure 2 which includes:

[0039] Step 201: Determine the flight path of the drone in the operation area.

[0040] In some embodiments, step 201 may specifically include: obtaining the weather information of the operation area and the device information of the drone; based on the device information and the weather information, determining the flight path of the drone in the operation area.

[0041] As a possible implementation manner, before calling the drone, the system can automatically generate an optimal flight path according to the geographical information and meteorological conditions of the operation area. Exemplarily, the real-time weather data of the operation area, such as temperature, wind speed and direction, humidity, precipitation probability, visibility, air pressure, cloud height, etc., can be obtained by using a meteorological website, an airborne meteorological sensor, etc.; and the device information of the drone, such as battery status, sensor status, communication status, can be collected.

[0042] In some embodiments, the shortest path from the starting point to the ending point can be determined by combining the device information, the weather information, and the location information of the operation area through a preset path planning algorithm (such as Dijkstra algorithm, Rapidly-exploring Random Tree algorithm, Traveling Salesman Problem algorithm, etc.), which can maximize the flight efficiency on the premise of ensuring safety.

[0043] Specifically, the appropriate safe flight altitude can also be set according to the terrain and weather conditions of the operation area. When planning the flight path, multiple safe return points should be set. If the UAV encounters emergencies during flight (such as insufficient battery power, signal loss, etc.), it can immediately return to the nearest safe return point to ensure that the UAV can land safely, and a detailed emergency plan should be formulated to clarify the response measures in case of emergencies. Correspondingly, the UAV can be called to monitor weather changes and equipment status in real time, automatically adjust flight parameters to ensure the smooth completion of the task, and manual intervention can be carried out in some cases (such as encountering emergencies or complex environments).

[0044] In this way, it can be ensured that the UAV can complete the image acquisition task efficiently and safely. Considering factors such as the UAV's endurance time, wind speed, visibility, etc., the flight path is planned to prevent the UAV from entering high-risk areas or exceeding its operating range, ensuring that the UAV can complete the task safely and efficiently, while enhancing the operability and applicability of the operation area monitoring.

[0045] Step 202: Call the UAV to conduct aerial photography in the operation area according to the flight path to obtain image information.

[0046] In some embodiments, the UAV can be called to automatically conduct inspections according to the pre-planned flight path, take high-definition images or videos in real time during flight, and transmit them back to the background system for analysis. It can also fly automatically to the designated location in the operation area for monitoring and shooting according to the preset flight path or real-time instructions to help the operators comprehensively grasp the on-site situation.

[0047] Exemplarily, in power line inspections, the UAV can be called to regularly check components such as insulators and towers of transmission lines, timely detect damage or aging conditions, arrange maintenance in advance to avoid faults; at construction sites, the UAV can be called to monitor the erection of scaffolding and the operating status of tower cranes, and timely detect potential safety hazards, such as equipment failures and personnel's illegal operations. In this way, the UAV can be called to replace some manual inspection tasks, especially in scenarios with high repetition and great danger. By automatically completing the daily inspection tasks with the UAV, the dependence on manual labor is reduced and the labor cost is lowered.

[0048] Step 203: Identify the operation factors in the image information.

[0049] Exemplarily, a preset recognition model can be created, and the preset recognition model can be called to identify various operation factors in the image information, such as personnel, equipment, and other objects, to facilitate detecting whether there are abnormal operation factors. Exemplarily, the preset recognition model can adopt a convolutional neural network for multi-layer convolutional operations, collect historical images of the operation area, extract features from the historical images of the operation area, and obtain through multiple trainings.

[0050] Step 204: Compare the operation status of the operation factors with the preset safety status, and determine the target operation factors that do not meet the safe operation conditions from the target operation factors.

[0051] In some embodiments, based on the analysis of the image information, the operation status of each operation factor can be identified, it can be judged whether the position and behavior corresponding to each operation factor conform to the preset safety status, and the operation factors that do not meet the safe operation conditions are determined as the target operation factors. By comparing image recognition with safety standards, the accuracy and reliability of the early warning can be effectively ensured.

[0052] Exemplarily, the target operation factors with abnormal behaviors or equipment hidden dangers can be identified by analyzing the video stream, such as personnel not wearing personal protective equipment (PPE), equipment running at high speed, personnel entering the dangerous area, the safety lock of the tower crane fails, the scaffolding is not firmly built, etc. For example, in the hoisting operation, the drone can be called to monitor the position of the crane hook and the status of the steel cable. Once an abnormality is found (such as the hook deviating or the steel cable loosening), an alarm is immediately issued to notify the operator to take emergency measures to avoid accidents.

[0053] Step 205: Generate operation warning information corresponding to the target operation factors.

[0054] In some embodiments, step 205 may specifically include: determining the risk level of the target operation factor; generating warning information corresponding to the target operation factor according to the risk level.

[0055] In some embodiments, for each identified operation factor, the possibility and severity of its potential risk are evaluated. According to the combination of the possibility and severity, the risk level of each operation factor is determined, such as high risk, medium risk, low risk, etc. Then, according to the risk level, warning information is generated to clearly inform the severity of the risk and formulate corresponding warning measures, making the warning information more targeted and practical, and ensuring the safety during the operation process.

[0056] Step 206: Call the drone to send the operation warning information to the operation area.

[0057] As a possible implementation manner, the drone can be called as a mobile monitoring platform, carrying a camera and a speaker, which can monitor the operation area in real time in the air and play voice prompts or alarms to the operators, realizing the two-way communication function of monitoring and warning, and ensuring the smooth flow of information between each operation link.

[0058] Optionally, when the drone is performing a preset task (such as taking off, landing, low battery, etc.), the current status can be informed to the drone operator through voice prompts, enabling the drone operator to better grasp the working conditions of the drone.

[0059] Optionally, an audible and visual alarm can be installed in the operation area to remind the operators in the operation area of safety through sound and light.

[0060] In some embodiments, step 206 may specifically include: calling the intercom module of the drone to broadcast a warning message to the operation area; or, calling the intercom module to send the warning message to the receiving terminal corresponding to the target operation factor, and the receiving terminal is used to broadcast the warning message.

[0061] Exemplarily, the intercom module of the drone can be installed in ways such as built-in integration or external mounting. Among them, built-in integration can directly integrate the intercom module into the main control board of the drone, and supply power and transmit data to the intercom module through the power supply and communication interface of the drone. This method can reduce the dependence on external devices and improve the integration and stability of the system; if the drone itself does not have a reserved interface for the intercom module, an external intercom module can be selected, which is powered by a battery or the extended power supply of the drone, and the external module can communicate with the drone through Wi-Fi, Bluetooth or a dedicated radio frequency module.

[0062] In some embodiments, the intercom module of the drone can be used to broadcast a warning message to the operation area to prompt the operators in the operation area to take corresponding warning measures; or, call the intercom module to send the warning message to the receiving terminal corresponding to the target operation factor. For example, send the warning message to the receiving terminal of the operator corresponding to the target operation factor, so that the operator can directly receive the warning message and take corresponding warning measures, thereby improving the operation safety. Among them, the receiving terminal can be an intercom, a mobile phone, etc.

[0063] Optionally, the method of this embodiment may specifically further include: sending a warning message to the intercom module of the drone through an intercom device.

[0064] In some embodiments, the monitoring personnel (guardians) in the command center can send a warning message to the intercom module of the drone through an intercom device to achieve two-way communication between the drone and the handheld intercom, ensure real-time communication between the operators in the operation area and the command center, realize the monitoring and two-way communication functions, and ensure the timeliness of early warning and the safety of operations.

[0065] Further optionally, noise reduction algorithms, echo cancellation, volume control and other functions can be added to the intercom module to avoid the impact of background noise on call quality in complex working environments, ensure clear and distinguishable voices, and adapt to different ambient noise levels. An automatic volume adjustment function can be designed to ensure that the call volume is moderate and neither too loud nor too soft.

[0066] For example, in a hoisting operation, the UAV can transmit the on-site situation to the ground commander in real time to ensure the smooth progress of each step and avoid work stoppages or delays caused by poor communication. Specifically, the UAV is called to fly to the operation area corresponding to the hoisting operation, and the equipment status and surrounding environment during the hoisting process are monitored in real time, such as monitoring the position of the crane hook, the status of the steel cable, the distance to surrounding obstacles, etc. Through two-way communication with the handheld intercom, the ground commander can maintain real-time communication with the operator, and inform the operator to adjust the hoisting angle or speed through voice prompts, and timely remind potential safety hazards to ensure the safe progress of the hoisting operation. If any abnormal situation is found, the UAV can immediately issue an alarm to notify the operators to take emergency measures.

[0067] In some embodiments, high-gain antennas or relay stations can be used to extend the communication distance between the UAV and the handheld intercom to ensure signal coverage of the entire operation area; a digital intercom module with strong anti-interference ability, such as DMR or TETRA standards, is selected to ensure stable communication in complex environments; a multi-band intercom module is adopted to support multiple frequency ranges to avoid interference with other wireless devices, so as to be applicable to various operation scenarios and ensure the safety and efficiency of operations.

[0068] Optionally, after sending the early warning information, the UAV can continue to monitor the changes in the target operation factors and adjust the early warning level or take further countermeasures according to the actual situation to ensure that the system can dynamically respond to changing situations; and automatically record the time, location, target operation factors and their processing results of the early warning event to form a log file for subsequent analysis and improvement to optimize the operation process.

[0069] Compared with the current existing technologies, this embodiment can generate early warning information according to the risk level of target operation factors, clearly inform the severity of the risks, and formulate corresponding early warning measures, making the early warning information more targeted and practical, ensuring the safety during the operation process, and can call the intercom module of the unmanned aerial vehicle (UAV) to broadcast the early warning information to the operation area. The monitoring personnel can send early warning information to the intercom module of the UAV through the intercom device. Through the two-way communication between the UAV and the handheld intercom, the monitoring personnel can maintain real-time communication with the operation personnel, and timely remind potential safety hazards through voice prompts to ensure the safe progress of the operation. In addition, calling the UAV can replace some manual inspection tasks, especially in scenarios with high repetition and great danger. The UAV automatically completes the daily inspection tasks, reducing the dependence on manual labor and lowering the labor cost.

[0070] Further, as Figure 1 and Figure 2 a specific implementation of the method shown, this embodiment provides an operation early warning device, as Figure 3 shown. The device includes: an acquisition module 31, a determination module 32, a generation module 33, and an early warning module 34.

[0071] The acquisition module 31 is configured to call the UAV to acquire image information within the operation area;

[0072] The determination module 32 is configured to determine, based on the image information, the target operation factors that do not meet the safe operation conditions within the operation area;

[0073] The generation module 33 is configured to generate operation early warning information corresponding to the target operation factors;

[0074] The early warning module 34 is configured to call the UAV to send the operation early warning information to the operation area.

[0075] In some examples of this embodiment, the early warning module 34 is specifically configured to call the intercom module of the UAV to broadcast the early warning information to the operation area; or, call the intercom module to send the early warning information to the receiving terminal corresponding to the target operation factor, and the receiving terminal is used to broadcast the early warning information.

[0076] In some examples of this embodiment, the early warning module 34 is specifically further configured to send early warning information to the intercom module of the UAV through the intercom device.

[0077] In some examples of this embodiment, the acquisition module 31 is specifically further configured to determine the flight path of the UAV within the operation area; call the UAV to conduct aerial photography within the operation area according to the flight path to acquire image information.

[0078] In some examples of this embodiment, the determination module 32 is specifically configured to obtain the weather information of the operation area and the device information of the drone; based on the device information and the weather information, determine the flight path of the drone in the operation area.

[0079] In some examples of this embodiment, the determination module 32 is specifically configured to identify the operation factors in the image information; compare the operation status of the operation factors with the preset safety status, and determine the target operation factors that do not meet the safe operation conditions from the target operation factors.

[0080] In some examples of this embodiment, the generation module 33 is specifically configured to determine the risk level of the target operation factor; according to the risk level, generate the warning information corresponding to the target operation factor.

[0081] It should be noted that for other corresponding descriptions of each functional unit involved in the operation warning device provided in this embodiment, reference can be made to Figure 1 and Figure 2 the corresponding descriptions therein, which will not be elaborated here.

[0082] Based on the above as Figure 1 and Figure 2 shown in the method, correspondingly, this embodiment also provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the above as Figure 1 and Figure 2 shown in the method is implemented.

[0083] Based on such an understanding, the technical solution of this application can be embodied in the form of a software product, and the software product can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.), including several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the method of the implementation scenario of this application.

[0084] Based on the above as Figure 1 and Figure 2 shown in the method, and Figure 3 shown in the virtual device embodiment, in order to achieve the above purpose, this embodiment of the application also provides an electronic device, such as a personal computer or a server, and the device includes a storage medium and a processor; the storage medium is used to store a computer program; the processor is used to execute the computer program to implement the above as Figure 1 and Figure 2 shown in the method.

[0085] Optionally, the above-mentioned physical device may further include a user interface, a network interface, a camera, a radio frequency (RF) circuit, sensors, an audio circuit, a WI-FI module, etc. The user interface may include a display screen and an input unit such as a keyboard. Optionally, the user interface may further include a USB interface, a card reader interface, etc. The network interface may optionally include a standard wired interface, a wireless interface (such as a WI-FI interface), etc.

[0086] Those skilled in the art can understand that the structure of the above-mentioned physical device provided in this embodiment does not constitute a limitation on the physical device, and it may include more or fewer components, or combine certain components, or have different component arrangements.

[0087] The storage medium may further include an operating system and a network communication module. The operating system is a program for managing the hardware and software resources of the above-mentioned physical device, and supports the operation of information processing programs and other software and / or programs. The network communication module is used to implement communication between components within the storage medium, as well as communication with other hardware and software in the information processing physical device.

[0088] Through the description of the above embodiments, those skilled in the art can clearly understand that this application can be implemented by means of software plus a necessary general hardware platform, or can also be implemented by hardware. By applying the technical solution of this embodiment, this embodiment can generate a warning message according to the risk level of the target operation factor, clearly inform the severity of the risk, and formulate corresponding warning measures, making the warning message more targeted and practical, ensuring the safety during the operation process, and can call the intercom module of the drone to broadcast the warning message to the operation area. The monitoring personnel can send a warning message to the intercom module of the drone through the intercom device. Through the two-way communication between the drone and the handheld intercom, the monitoring personnel can maintain real-time communication with the operation personnel, and timely remind potential safety hazards through voice prompts to ensure the safe progress of the operation. In addition, calling the drone can replace some manual inspection tasks, especially in scenarios with high repetition and high danger. The drone automatically completes the daily inspection tasks, reducing the dependence on manual labor and lowering the labor cost.

[0089] It should be noted that in this document, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variation thereof is intended to cover non-exclusive inclusion, such that a process, method, article or device comprising a series of elements not only includes those elements but also includes other elements not expressly listed, or elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "comprising an..." does not exclude the presence of additional identical elements in the process, method, article or device comprising said element.

[0090] The above are only specific embodiments of the present application, enabling those skilled in the art to understand or implement the present application. Various modifications to these embodiments will be obvious to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to these embodiments described herein, but rather will conform to the broadest scope consistent with the principles and novel features claimed herein.

Claims

1. A method for early warning of an operation, characterized in that: include: Call the drone to obtain image information in the operation area; Based on the image information, determining target operating factors that do not meet safe operating conditions in the operating area; Generate operation warning information corresponding to the target operation factor; The drone is called to send the operation warning information to the operation area.

2. The method according to claim 1, characterized in that The calling the drone to send the warning information to the operation area includes: calling the intercom module of the drone to broadcast the warning information to the operation area; or, The intercom module is called to send the warning information to a receiving terminal corresponding to the target operation factor, and the receiving terminal is used to broadcast the warning information.

3. The method according to claim 2, characterized in that Before calling the drone to send the warning information to the operation area, the method further includes: The warning information is sent to the intercom module of the drone through the intercom device.

4. The method according to claim 1, characterized in that: The calling of the drone to obtain image information in the operation area includes: Determining a flight path of the UAV in the operation area; The drone is called to perform aerial photography in the operation area according to the flight path to obtain the image information.

5. The method according to claim 4, characterized in that Determining the flight path of the UAV in the operation area includes: Obtaining weather information of the operation area and equipment information of the drone; Based on the equipment information and the weather information, a flight path of the UAV in the operation area is determined.

6. The method according to claim 1, characterized in that The determining, based on the image information, target operating factors in the operating area that do not meet safe operating conditions includes: identifying operational factors in the image information; The operating state of the operating factor is compared with a preset safety state, and the target operating factor that does not meet the safe operating condition is determined from the target operating factors.

7. The method according to claim 1, characterized in that The generating of the warning information corresponding to the target operation factor includes: Determine the risk level of the target operational factor; According to the risk level, early warning information corresponding to the target operation factor is generated.

8. An operation warning device, characterized in that: include: An acquisition module is configured to call a drone to acquire image information within an operation area; A determination module is configured to determine, based on the image information, a target operation factor in the operation area that does not meet the safety operation conditions; A generating module, configured to generate operation warning information corresponding to the target operation factor; The warning module is configured to call the drone to send the operation warning information to the operation area.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

10. An electronic device comprising a storage medium, a processor, and a computer program stored in the storage medium and executable on the processor, characterized in that: When the processor executes the computer program, the method according to any one of claims 1 to 7 is implemented.

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