Deployment method, device, electronic device, storage medium and program product of monitoring equipment

Abstract

The application discloses a deployment method and device of a monitoring device, electronic equipment, a storage medium and a program product. The method comprises the following steps: acquiring scene information of a monitoring scene; dividing regions in the monitoring scene based on the scene information to obtain at least one divided region; respectively determining target demand amounts of mobile data of the at least one divided region, wherein the target demand amounts of the mobile data required to be transmitted by different divided regions are different, and the mobile data is transmitted by a base station deployed in the monitoring device; determining deployment information of the monitoring device based on the target demand amounts; and deploying the monitoring device in the monitoring scene according to the deployment information. The application solves the technical problem of poor deployment effect of the monitoring device.

Description

Technical Field

[0001] This application relates to the field of communications, and more specifically, to a method, apparatus, electronic device, storage medium, and program product for deploying monitoring equipment. Background Technology

[0002] Currently, the deployment of base stations for monitoring equipment (such as drones) typically involves the monitoring equipment carrying mobile base stations for aerial patrols. However, drone emergency communication base stations are susceptible to electromagnetic interference and severe weather. Simply using drones to carry base stations for patrols over emergency sites results in low resource utilization, poor communication performance, and technical issues related to the poor deployment effectiveness of monitoring equipment.

[0003] There is currently no effective solution to the above problems. Summary of the Invention

[0004] This application provides a method, apparatus, electronic device, storage medium, and program product for deploying monitoring equipment, to at least solve the technical problem of poor deployment effect of monitoring equipment.

[0005] According to one aspect of the embodiments of this application, a method for deploying a monitoring device is provided. The method may include: acquiring scene information of a monitoring scene; dividing the area in the monitoring scene based on the scene information to obtain at least one divided area; determining the target demand for mobile data for each of the at least one divided area, wherein the target demand for mobile data to be transmitted differs for different divided areas, and the mobile data is transmitted by a base station deployed in the monitoring device; determining deployment information of the monitoring device based on the target demand; and deploying the monitoring device in the monitoring scene according to the deployment information.

[0006] Optionally, based on scene information, the area in the monitoring scene is divided to obtain at least one divided area, including: constructing a scene model corresponding to the monitoring scene based on scene information, wherein the scene model is used at least to simulate the distribution of objects in the monitoring scene; and dividing the area in the monitoring scene based on the scene model to obtain at least one divided area.

[0007] Optionally, based on the scene information, a scene model corresponding to the monitoring scene is constructed, including: extracting features from the scene information to obtain multi-dimensional scene features; and simulating the multi-dimensional scene features to obtain the scene model.

[0008] Optionally, feature extraction is performed on the scene information to obtain multi-dimensional scene features, including: restoring the format of the scene information to obtain the restoration result; and extracting features from the format restoration result to obtain multi-dimensional scene features.

[0009] Optionally, based on scene information, a scene model corresponding to the monitoring scene is constructed, including: based on scene information, determining a first target emergency event occurring in the monitoring scene; retrieving a second target emergency event from the database whose similarity to the emergency event is greater than a similarity threshold, wherein the database is used to store different emergency events; determining the extraction information corresponding to the second target emergency event; extracting target extraction information in the monitoring scene from the scene information according to the extraction information; and constructing a scene model based on the target extraction information.

[0010] Optionally, the target extraction information includes at least the spatial information of the monitoring scene and dynamic objects. Based on the extracted information, a scene model is constructed, including: using the spatial information to determine the location information of the dynamic objects in the monitoring scene; associating the location information and spatial information to obtain the association result; and constructing the scene model based on the association result.

[0011] Optionally, the method may further include: updating scene information according to the update frequency; updating deployment information using the updated scene information; and redeploying monitoring equipment in the monitoring scene according to the updated deployment information.

[0012] Optionally, the method may further include: determining the time delay difference information between the base station and the signal transceiver base station; and determining the operating stability coefficient of the base station based on the time delay difference information.

[0013] Optionally, the scene information of the monitoring scene is obtained, including: obtaining a scene map of the monitoring scene; determining the information collection area and the scene structure of the monitoring scene based on the scene map; determining the information collection path for the monitoring equipment based on the information collection area and the scene structure; controlling the monitoring equipment to move according to the information collection path and collecting information from the monitoring scene to obtain scene information.

[0014] According to another aspect of the embodiments of this application, a deployment apparatus for a monitoring device is also provided. The apparatus may include: an acquisition unit for acquiring scene information of a monitoring scene; a division unit for dividing the area in the monitoring scene based on the scene information to obtain at least one divided area; a first determination unit for determining the target demand for mobile data in each of the at least one divided area, wherein the target demand for mobile data to be transmitted differs for different divided areas, and the mobile data is transmitted by a base station deployed in the monitoring device; a second determination unit for determining deployment information of the monitoring device based on the target demand; and a deployment unit for deploying the monitoring device in the monitoring scene according to the deployment information.

[0015] According to another aspect of the embodiments of this application, a non-volatile storage medium is also provided, which stores a plurality of instructions adapted for loading by a processor and executing any of the above-described deployment methods of the monitoring device.

[0016] According to another aspect of the embodiments of this application, an electronic device is also provided, including one or more processors and a memory, wherein the memory is used to store one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors cause the one or more processors to implement any of the above-described methods for deploying the monitoring device.

[0017] According to another aspect of the embodiments of this application, a computer program product is also provided, including a computer program that, when executed by a processor, implements any of the above-described methods for deploying monitoring devices.

[0018] In this embodiment, scene information of the monitoring scene is obtained; based on the scene information, the area in the monitoring scene is divided to obtain at least one divided area; the target demand for mobile data in each of the at least one divided area is determined, wherein the target demand for mobile data to be transmitted is different in different divided areas, and the mobile data is transmitted by base stations deployed in the monitoring equipment; based on the target demand, the deployment information of the monitoring equipment is determined; and the monitoring equipment is deployed in the monitoring scene according to the deployment information. In other words, in this embodiment, based on the environmental information of the monitoring scene, the monitoring scene is divided to obtain at least one divided area, the target demand for mobile data in the divided area is determined, and based on the target demand, the deployment information of the monitoring equipment is determined for deployment, thereby achieving the technical effect of improving the deployment effect of the monitoring equipment and solving the technical problem of poor deployment effect of the monitoring equipment. Attached Figure Description

[0019] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0020] Figure 1 This is a flowchart of a method for deploying a monitoring device according to an embodiment of this application;

[0021] Figure 2 This is a flowchart of a method for constructing an emergency communication high-altitude base station for unmanned aerial vehicles (UAVs) according to an embodiment of this application;

[0022] Figure 3 This is a schematic diagram illustrating the interaction between a drone and a ground base station according to an embodiment of this application;

[0023] Figure 4 This is a flowchart of a method for transmitting scene information back to a control terminal based on a data backhaul service, according to an embodiment of this application;

[0024] Figure 5This is a flowchart of a method for collecting and transmitting scene information according to an embodiment of this application;

[0025] Figure 6 This is a flowchart of a method for constructing a three-dimensional model according to an embodiment of this application;

[0026] Figure 7 This is a flowchart of a method for fitting a three-dimensional geographic scene model and a foreground three-dimensional model according to an embodiment of this application;

[0027] Figure 8 This is a flowchart of a method for determining the hotspot distribution at an emergency site and the required hotspot capacity of each hotspot, according to an embodiment of this application.

[0028] Figure 9 This is a schematic diagram of a monitoring device according to an embodiment of this application;

[0029] Figure 10 This is a schematic diagram of a method for building and deploying an emergency communication high-altitude base station for unmanned aerial vehicles according to an embodiment of this application;

[0030] Figure 11 This is a schematic diagram of the structure of a deployment device for a monitoring device according to an embodiment of this application;

[0031] Figure 12 This is a schematic diagram of an electronic device according to an embodiment of this application. Detailed Implementation

[0032] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of protection of the present application.

[0033] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0034] First, some nouns or terms that appear in the description of the embodiments of this application shall be interpreted as follows:

[0035] Data feedback service refers to the format and communication requirements that need to be met when transmitting collected scene information back. For example, the communication rate may need to meet certain conditions.

[0036] The UAV emergency communication high-altitude base station, also known as the tethered UAV emergency communication high-altitude base station system, consists of a tethered UAV and base station equipment. It can quickly ascend to 100 meters within 5 minutes and provide 24-hour uninterrupted communication support services such as Long Term Evolution Voice (VoLTE) and data services to the emergency area. The coverage distance can reach 20 square kilometers and it supports a maximum of 5,400 users.

[0037] Wireless link budget is an important means of estimating the coverage capability of a base station. It can be determined by calculating the power attenuation and signal-to-noise ratio loss of the link based on the technical characteristics of the air interface.

[0038] The set of information collection waypoints can refer to the locations where the UAV collects information in the air, and can be determined by the cruise flight plan;

[0039] According to an embodiment of this application, an embodiment of a method for deploying a monitoring device is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0040] Figure 1 This is a flowchart of a method for deploying a monitoring device according to an embodiment of this application, such as... Figure 1 As shown, the method may include the following steps:

[0041] Step S102: Obtain scene information of the monitored scene.

[0042] In this embodiment, the monitoring scenario can be an emergency site, referring to a geographical area requiring emergency response and handling in the event of a sudden incident, such as a natural disaster, accident, public health emergency, or social security incident. Scene information can be used to characterize the actual environment of the emergency site, and can include image information, video information, etc., representing aspects such as the damage to buildings and the gathering of people in the monitoring scenario. It should be noted that this is merely an example, and no specific limitations are placed on the content and type of scene information. The monitoring equipment can be any device capable of flight and data collection, such as a drone equipped with a camera. Again, this is just an example, and no specific limitations are placed on the type of monitoring equipment.

[0043] In emergency situations, conventional communication facilities may be damaged or unable to meet the communication needs of a large number of users. Therefore, it is necessary to quickly establish an emergency communication system to ensure uninterrupted communication between various parties. Emergency situations place high demands on the construction and operation of communication systems. Therefore, in this embodiment, in order to more accurately determine the deployment location of base stations in the monitoring scenario, scene information of the monitoring scenario can be collected first, and the deployment status of base stations can be determined based on the scene information.

[0044] Optionally, the monitoring scenarios mentioned above can be locations where emergencies or sudden events occur, such as natural disasters (earthquakes, floods, fires, etc.), accidents (traffic accidents, chemical accidents, building collapses, etc.), public safety incidents (mass gatherings, infectious disease outbreaks, etc.), or any scenario requiring emergency response and handling. In these situations, conventional communication infrastructure (e.g., base stations) may malfunction due to damage, overload, or location limitations, resulting in unmet communication needs on-site.

[0045] For example, scene information can be collected using cameras on drones or other high-altitude flying equipment. It should be noted that this is merely an example, and no specific restrictions are placed on the method of collecting scene information.

[0046] Optionally, by using drones, scene information at emergency sites can be collected and transmitted back to the control terminal based on data transmission services.

[0047] In this embodiment, the following steps may be included: A data backhaul service can be pre-set. When scene information is collected, the data backhaul service can be used to determine the format and communication requirements that need to be met during data backhaul, so as to convert the scene information. For example, the communication rate that needs to be met when performing data backhaul can be pre-set. The scene information is backhauled according to the set condition value, so as to achieve the purpose of backhauling the scene information to the management terminal based on the data backhaul service.

[0048] Optionally, when the scene information is obtained, the data backhaul service can be invoked and the data backhaul service can be parsed to determine the relay server and data backhaul protocol that are connected to the drone. Based on the data backhaul protocol, the scene information can be backhauled to the relay server for temporary caching. Based on the temporary caching result, the scene information can be forwarded to the control terminal according to the public network and dedicated line interface of the relay server.

[0049] Optionally, this embodiment uses a data backhaul service to accurately and effectively transmit the collected scene information to the control terminal, thereby ensuring the reliability of scene information transmission and providing reliable data for constructing a three-dimensional simulation scene.

[0050] It should be noted that this is only an example and no specific restrictions are placed on the transmission method or storage location of the collected scene information.

[0051] Step S104: Based on the scene information, the area in the monitoring scene is divided to obtain at least one divided area.

[0052] In this embodiment, the aforementioned division area can be a region obtained by dividing the area in the monitoring scene, or a hotspot distribution area, or simply a hotspot area.

[0053] Optionally, at least one region can be used to determine the distribution of hotspots in the monitoring scenario and the required hotspot capacity for each hotspot.

[0054] For example, based on scene information, the density of people in different areas of the monitoring scene can be determined. The monitoring scene can then be divided according to this density to obtain at least one segmented area. Alternatively, based on scene information, the data flow in different areas of the monitoring scene can be determined. The monitoring scene can then be divided according to this data flow to obtain at least one segmented area. It should be noted that this is merely an example, and no specific restrictions are placed on the methods used to obtain segmented areas.

[0055] Step S106: Determine the target demand for mobile data for at least one segmented area, wherein the target demand for mobile data to be transmitted is different for different segmented areas, and the mobile data is transmitted by base stations deployed in the monitoring equipment.

[0056] In this embodiment, the aforementioned target demand can be used to characterize the amount of mobile data required, to determine hotspot capacity, and to refer to the communication capacity required by each hotspot area in the monitoring scenario. Based on this target demand, the normal operation and coverage of the communication network processed by the base station can be determined. The aforementioned base station can be a mobile base station or a high-altitude base station for emergency communication of unmanned aerial vehicles (UAVs).

[0057] Optionally, when an emergency occurs in a certain area, such as a flood or road damage, it may damage ground communication equipment, resulting in the inability to transmit mobile data. To solve this problem, in this embodiment, a camera device in the monitoring equipment is used to monitor the area where the emergency occurred (i.e., the monitoring scene) to obtain scene information. Based on the scene information, the areas in the monitoring scene can be divided, for example, according to the flow of people, thus obtaining at least one divided area. Different divided areas have different flow of people, and therefore the target demand for mobile data for different divided areas will also be different. Further, the target demand for mobile data for at least one divided area can be determined through calculation, estimation, simulation, etc. It should be noted that this is only an example, and there are no specific limitations on the method of determining the target demand or the method of dividing the areas.

[0058] Step S108: Determine the deployment information of the monitoring equipment based on the target demand.

[0059] In this embodiment, the above deployment information can be determined based on hotspot distribution information and hotspot capacity information, and can be used to determine the deployment location of the monitoring equipment. It can include information such as the operating frequency band, center frequency point, and system bandwidth of the base station in the monitoring equipment. It should be noted that this is only an example and there are no specific restrictions on the deployment information of the monitoring equipment.

[0060] Optionally, the monitoring equipment mentioned above may include a base station. By determining the target demand for mobile data required in different divided areas, the most suitable location for deploying the base station can be determined based on the target demand, thereby obtaining the deployment information of the monitoring equipment.

[0061] For example, hotspot areas in an emergency situation and the target demand for each hotspot area (divided area) can be identified. Based on the target demand, the required hotspot capacity for that divided area can be determined. Based on the hotspot areas and the required hotspot capacity for each hotspot area, the deployment information for monitoring equipment can be determined. According to this deployment information, high-altitude base stations for UAV emergency communication can be built and deployed. It should be noted that this is only an example, and no specific restrictions are placed on the method of determining the deployment information.

[0062] Step S110: Deploy monitoring equipment in the monitoring scenario according to the deployment information.

[0063] In this embodiment, monitoring equipment can be deployed in the monitoring scenario according to the deployment information, thereby achieving the purpose of deploying the base station in the monitoring equipment to a suitable location.

[0064] Currently, most existing high-altitude emergency communication base station deployments using drones involve directly deploying mobile base stations (which can be simply referred to as base stations) within the drones. The drones then carry these mobile base stations during aerial patrols. However, during these patrols, the actual environment of the emergency site is not monitored, leading to poor placement and parameter settings for the high-altitude emergency communication base stations. Furthermore, as emergency communication is crucial, drone-based emergency communication base stations are susceptible to electromagnetic interference and severe weather, potentially causing communication interruptions or quality degradation, significantly reducing the effectiveness of the deployment. Therefore, simply using drones to carry communication base stations for patrol flights over emergency sites without tailoring the configuration to the specific conditions of the emergency site will result in low resource utilization, poor communication performance, and consequently, poor deployment of monitoring equipment.

[0065] In this embodiment, to address the aforementioned issues, a drone is used to monitor scene information. Based on the monitored scene information, at least one segmented area is identified within the monitored scene. The target demand for mobile data in each segmented area can then be determined. Based on this target demand, deployment information can be established to build and deploy the drone-based emergency communication high-altitude base station. For example, according to the deployment information, the drone-based emergency communication high-altitude base station can be connected to the signal transceiver base station corresponding to the control terminal to complete the construction and deployment of the drone-based emergency communication high-altitude base station.

[0066] In this embodiment, the high-altitude base station for UAV emergency communication is built and deployed based on the hotspot distribution and the required hotspot capacity of each hotspot, ensuring the communication reliability and stability of the final UAV emergency communication high-altitude base station.

[0067] Through steps S102 to S110 above, in response to a data transmission request, at least one first identification information is determined from the data transmission request, wherein the first identification information is used to identify the user equipment to which data is to be transmitted; a second identification information associated with the first identification information is determined; the first identification information and the data to be transmitted are transmitted to the session management function identified by the second identification information, so that the session management function transmits the data to be transmitted to a target user equipment group in the user equipment, wherein the first identification information of different target user equipments in the target user equipment group is the same. That is, in this embodiment of the application, the second identification information associated with the first identification information of the user equipment is determined, and based on the second identification information, the session management function is directly called to transmit data to user equipments with the same first identification, so as to avoid the need to repeatedly call the same session management function to transmit the data to be transmitted to multiple user equipments, thereby achieving the technical effect of avoiding resource waste during data transmission and solving the technical problem of poor deployment effect of monitoring equipment.

[0068] The method described in this embodiment will be further described below.

[0069] As an optional embodiment, step S104, based on scene information, divides the area in the monitoring scene to obtain at least one divided area, including: constructing a scene model corresponding to the monitoring scene based on scene information, wherein the scene model is used at least to simulate the distribution of objects in the monitoring scene; and dividing the area in the monitoring scene based on the scene model to obtain at least one divided area.

[0070] In this embodiment, the aforementioned scene model can be a three-dimensional simulation scene (which can be simply referred to as a three-dimensional model), or a simulation model, which can be used to simulate the distribution of objects in the monitoring scene, the damage to buildings, etc. It should be noted that this is only an example, and there are no specific limitations on the simulated objects of the scene model. The aforementioned objects can be plants, people, animals, buildings, etc. It should be noted that this is only an example, and there are no specific limitations on the categories of the aforementioned objects.

[0071] For example, by acquiring scene information, a scene model corresponding to the monitored scene can be constructed. Based on the scene model, the regional distribution range within the monitored scene can be determined to obtain at least one divided region. Based on the regional distribution range, the hotspot distribution corresponding to that divided region can be determined. That is, based on the regional distribution range, the areas where users with needs gather at the emergency site can be determined. Based on the gathering areas, the hotspot distribution at the emergency site can be obtained. Based on the hotspot distribution, the user traffic volume in each hotspot (divided region) can be determined. Based on the user traffic volume, the traffic demand volume (i.e., target demand volume) of each hotspot can be determined. Based on the traffic demand volume, the required hotspot capacity for each hotspot can be determined.

[0072] As an optional implementation method, a scene model corresponding to the monitoring scene is constructed based on scene information, including: extracting features from the scene information to obtain multi-dimensional scene features; and simulating the multi-dimensional scene features to obtain a scene model.

[0073] In this embodiment, the aforementioned multi-dimensional scene features can be used to characterize different types of scene characteristics in the monitoring scene. These features can be multi-dimensional collected features, a set of information describing multiple attributes and states of a specific environment or scene, and can be used to characterize the complex environment of the monitoring scene, including, but not limited to, personnel distribution, building structure, topography, weather conditions, traffic conditions, resource distribution, etc. It should be noted that this is merely an illustrative example, and no specific limitations are placed on the representation form of the multi-dimensional scene features.

[0074] Optionally, feature extraction of scene information can yield multi-dimensional scene features. Through these multi-dimensional scene features, a scene model corresponding to the scene information can be constructed. By analyzing the scene model, key parameters such as the optimal deployment location of the UAV emergency communication high-altitude base station, the optimized selection of communication frequency, and the required communication capacity can be determined, thereby improving the efficiency and quality of emergency communication.

[0075] For example, the control terminal can acquire and analyze the collected scene information, such as through feature extraction, to determine the multi-dimensional scene features of the emergency site. Furthermore, based on these multi-dimensional scene features, a three-dimensional simulation of the emergency site can be constructed. For instance, computer software programs can be used to simulate the multi-dimensional scene features to build a simulation model. Alternatively, the distribution and dimensions of surrounding buildings can be determined based on the multi-dimensional scene features, and then simulated using computer software programs to obtain a scene model. It should be noted that this is merely an example, and no specific limitations are placed on the methods for acquiring multi-dimensional scene features or constructing scene models. Any method that obtains multi-dimensional scene features based on scene information and a scene model based on those features should be within the scope of protection of this application.

[0076] In this embodiment, a scene model of the monitoring scene is acquired. By analyzing the scene model, the construction location of the UAV emergency communication high-altitude base station and the communication frequency of the base station can be accurately adapted. This allows for an accurate and effective display of the multi-angle situation of the monitoring scene using a 3D model. Furthermore, in this embodiment, the scene model of the monitoring scene can be dynamically updated in a timely manner based on the collected scene information. This improves the communication stability and reliability of the UAV emergency communication high-altitude base station in emergency scenarios, achieving the technical effect of improving the beneficial effect of deploying base stations in monitoring equipment and solving the technical problem of poor beneficial effect of deploying base stations in monitoring equipment.

[0077] As an optional implementation method, feature extraction is performed on the scene information to obtain multi-dimensional scene features, including: restoring the format of the scene information to obtain the restoration result; and extracting features from the format restoration result to obtain multi-dimensional scene features.

[0078] In this embodiment, the above restoration result can be a format restoration result.

[0079] Optionally, based on the temporary cache results, the scene information can be forwarded to the management terminal via the public network and dedicated line interfaces of the relay server. However, the format of the scene information here may be unprocessable or unparseable. Therefore, the format of the scene information can be restored to obtain processable scene information. By extracting features from the restored format results, multi-dimensional scene features can be obtained.

[0080] Optionally, when scene information is acquired, its format can be restored to obtain the restoration result. Based on the restoration result, the multi-dimensional acquisition features corresponding to the scene information can be determined. For example, the scene information can be a scene image or scene video. By parsing the scene information or extracting features from the scene image or scene video, multi-dimensional scene features can be obtained. Further, using the obtained multi-dimensional scene features, the scene information can be parsed to determine the specific location of the target area at the emergency site. This target area can be an area in the emergency scenario where the required quantity exceeds a threshold. After determining the specific location of the target area at the emergency site, the target area of ​​the scene information can be traced based on the multi-dimensional scene features to obtain the corresponding regional identity parameters. The regional identity parameters are then mapped to the scene information, and the regional identity parameters are bound to the scene information based on the mapping result.

[0081] In this embodiment, the above steps achieve the goal of forwarding scene information to the management terminal based on the temporary cache results and the public network and dedicated line interface of the relay server. This enables the collection of scene information to be bound to the corresponding scene area, making it easier for the management terminal to determine the correspondence between scene information and scene area, and ensuring the reliability of constructing the three-dimensional simulation scene.

[0082] As an optional implementation method, a scenario model corresponding to the monitoring scenario is constructed based on scenario information, including: determining a first target emergency event occurring in the monitoring scenario based on scenario information; retrieving a second target emergency event from a database whose similarity to the emergency event is greater than a similarity threshold, wherein the database is used to store different emergency events; determining the extraction information corresponding to the second target emergency event; extracting target extraction information in the monitoring scenario from the scenario information according to the extraction information; and constructing a scenario model based on the target extraction information.

[0083] In this embodiment, the first target emergency event can be a sudden emergency event in the monitored scene. The second target emergency event can be a second target emergency event retrieved from a historical emergency event response database that is similar to the first target emergency event. The database can be used to store different emergency events and can be a historical emergency event response database. The extracted information can be a set of scene elements and can be used to determine the key points that need to be paid attention to when building a 3D simulation scene.

[0084] Optionally, when a first emergency event occurs in a certain area, that area can be designated as a monitoring area. Based on the scene information of this monitoring scenario, the first target emergency event occurring in the monitoring scenario can be identified. Further, a second target emergency event with a similarity greater than a similarity threshold can be retrieved from the database. Extraction information corresponding to this second target emergency event is determined; this extraction information can be a set of scene elements to be extracted. Using this extraction information, the monitoring scenario can be extracted to obtain target extraction information. Based on this target extraction information, a scene model can be constructed.

[0085] Optionally, besides directly simulating the feature information of the scene to obtain a scene model, a scene model can also be constructed using the methods described above. Alternatively, target extraction information can be extracted using the methods described above, and a scene model can be obtained by simulating the target extraction information. It should be noted that this is only an example and does not impose specific limitations. Any method of constructing a scene model based on scene information should be within the scope of protection of this application.

[0086] For example, when an emergency event occurs at an emergency site, this emergency scenario can be identified as a monitoring scenario. The scenario information of this monitoring scenario is acquired. The scenario information is then analyzed using a control terminal to obtain the analysis results. Based on the analysis results, key parameters of the sudden emergency event at the emergency site can be determined. These key parameters can represent the event characteristics of the sudden emergency event, characterizing its type and impact. Based on these key parameters, a second target emergency event can be retrieved from the historical emergency event response database (i.e., the amount of data). Based on the known processing results of the second target emergency event, key points for scenario modeling and handling are determined. These key points can be used to identify the important considerations when building a 3D simulation scenario. Based on these key points, the set of scenario elements to be acquired (i.e., the information to be extracted) can be determined from the scenario information. Scene elements are extracted according to this set to obtain the target extraction information. Feature extraction can be performed on the target extraction information to obtain the feature information of the scene elements. Based on the feature information of the scene elements, the effective scale space and dynamic objects of the emergency site can be determined.

[0087] Furthermore, based on scene information, the effective scale space and dynamic objects can be correlated in terms of location. That is, by using scene information, the specific location of the dynamic object in the effective scale space at different times can be determined, and the location of the dynamic object at different times can be recorded. Through the recording results, the relative positional relationship between the dynamic object and the effective scale space at different times can be obtained, thus achieving the goal of correlating the effective scale space and the dynamic object in terms of location through relative positional relationship. Based on the location correlation results, multi-dimensional scene features of the emergency scene can be obtained, and a scene model can be constructed using these multi-dimensional scene features.

[0088] For example, obtaining the requirements for building a 3D simulation scene could involve establishing a 3D simulation scene framework or monitoring the layout of various scene elements. It should be noted that this is merely an example and does not impose specific limitations on the type of 3D simulation scene building requirements. A neural network model can be pre-trained based on these requirements. Using the trained neural network model, features are extracted from the obtained scene elements to obtain their feature information. This feature information is then processed using the neural network model to obtain the scene model.

[0089] As an optional implementation method, the target extraction information includes at least spatial information of the monitoring scene and dynamic objects. Based on the extracted information, a scene model is constructed, including: using spatial information to determine the location information of dynamic objects in the monitoring scene; associating the location information and spatial information to obtain the association result; and constructing the scene model based on the association result.

[0090] In this embodiment, the target extraction information may include at least spatial and dynamic information of the monitoring scene. The spatial information can be effective-scale spatial information, which can be used to characterize key spatial information of the emergency scene, such as buildings and the current size of the emergency scene. The dynamic object can be people, which can be used to characterize the current distribution of people in the emergency scene.

[0091] Optionally, based on multi-dimensional scene features, the emergency scene (i.e., the monitoring scene) can be divided into a foreground scene and a background scene. The foreground scene can represent the buildings and personnel present at the emergency scene. The background scene can represent the environmental features of the emergency scene. Dynamic objects in the foreground scene and spatial information in the background scene can be extracted. When dividing the emergency scene into foreground and background scenes, the division can be made according to the characteristics of each scene. Based on the first point cloud data of the background scene, a 3D terrain model can be constructed. Based on scene information, the terrain texture of the emergency scene can be determined and mapped onto the 3D terrain model to obtain the corresponding 3D terrain model. Further, in the first point cloud data of the 3D terrain model corresponding to the foreground scene, multiple second point cloud data corresponding to dynamic objects are determined. A foreground 3D model is constructed based on the multiple second point cloud data. The 3D geographic scene model and the foreground 3D model can be fitted with multi-location feature point mapping to obtain a 3D simulation scene of the emergency scene.

[0092] Optionally, the above process can be performed on a computer, for example, by automatically converting the data using a pre-defined conversion code. It should be noted that there are no specific limitations on the execution of the above steps.

[0093] In this embodiment, spatial information can be used to determine the location information of a dynamic object in the monitoring scene. The location information and spatial information can be correlated to obtain the key result, and the location of the dynamic object in the monitoring scene can be determined using this correlation result. Furthermore, based on this correlation result, a scene model can be constructed, which can be used to simulate the spatial location of different dynamic objects in the monitoring scene.

[0094] As another alternative example, based on multi-dimensional scene features, the emergency scene can be divided into a foreground scene and a background scene. A 3D geographic model corresponding to the background scene is determined, which can be used to represent the environmental features of the background scene. A foreground 3D model corresponding to the foreground scene is determined, which can be used to represent the object features. Location points between the 3D geographic model and the foreground 3D model can be determined based on environmental and object features. A fitting function between the models can be constructed in advance through simulation training. The 3D scene model and the foreground 3D model are then superimposed using the fitting function and based on the location points to obtain the scene model corresponding to the monitoring scene.

[0095] As an optional embodiment, the method may further include: updating scene information according to the update frequency; updating deployment information using the updated scene information; and redeploying monitoring equipment in the monitoring scene according to the updated deployment information.

[0096] In this embodiment, the required update frequency of scene information at the emergency site can be preset, and the drone can be controlled to update the scene information at intervals based on the update frequency. According to the updated deployment information, the deployment information can be redefined, and monitoring equipment can be deployed in the monitoring scene accordingly.

[0097] Optionally, scene information of the emergency site can be collected intermittently by drones. Based on the newly collected scene information, the scene element variable of the emergency site can be determined. The constructed three-dimensional simulation scene can be updated synchronously based on the change of scene element, thereby achieving the purpose of synchronously updating the three-dimensional simulation scene according to the real-time changes of the emergency site and ensuring the real-time effectiveness of the three-dimensional simulation scene.

[0098] For example, based on the interval update results, the change amount of scene elements at the emergency site can be determined. This scene element variable can be used to determine the elements that have changed at the emergency site, such as changes in the gathering of people, changes in the environment, changes in the distribution of people at the emergency site, changes in the distribution of buildings or obstacles at the emergency site, etc. It should be noted that this is only an example and there are no specific restrictions on the types of changes in scene elements.

[0099] As an optional embodiment, the method may further include: determining the time delay difference information between the base station and the signal transceiver base station; and determining the operating stability coefficient of the base station based on the time delay difference information.

[0100] In this embodiment, the aforementioned signal transceiver base station can be a ground base station, which can be used to communicate with the base station in the monitoring equipment. The latency difference information can be used to characterize the total latency value of the base station and to determine the base station's stable operation coefficient. This operational stability coefficient can be used to determine the base station's ability to operate without failure.

[0101] Optionally, the working principle of the drone may include four parts: drone deployment, system connection, power supply activation, and ground station activation. That is, the drone is started, and after startup, it can connect to the tethered cable retraction device. After successful connection, the drone is powered by its engine. Simultaneously, the ground station is activated to perform a flight self-test on the drone, and after the self-test passes, the drone is controlled to take off. The aforementioned tethered cable retraction device can be used to provide high-voltage DC power to the drone. The drone can be a six-axis, twelve-rotor drone, and may include a base station and image acquisition equipment. The aforementioned ground station can be used to send flight control commands to the drone 301, or to collect the drone's flight status information.

[0102] Furthermore, after the drone takes off, it can hover and monitor in real time whether it receives altitude or heading change commands from the remote controller. When it receives the corresponding flight control commands, it can control the drone to change altitude or heading. At the same time, the ground station collects the drone's flight status information to determine in real time whether the drone has completed the set task. After the task is completed, it can control the drone to land and be stored.

[0103] In this embodiment, based on the distributed distribution characteristics of UAV emergency communication high-altitude base stations at the emergency site, the number of regional hotspots within the coverage area of ​​each UAV emergency communication high-altitude base station, and the required hotspot capacity for each hotspot, can be determined. Based on the number of regional hotspots and the required hotspot capacity for each hotspot, a first adaptation is performed on the mobile data network load of the corresponding UAV emergency communication high-altitude base station. This can generally be measured by two indicators: the number of users and the throughput. The number of users reflects market development, while the throughput reflects the network's traffic load level. Based on data transmission requirements, the communication frequency band of the UAV emergency communication high-altitude base station can be determined, and a second adaptation is performed on the UAV emergency communication high-altitude base station based on the communication frequency band.

[0104] Furthermore, based on the first and second adaptation results, the UAV emergency communication high-altitude base station can be connected to the signal transceiver base station corresponding to the control terminal, thereby completing the construction and deployment of the UAV emergency communication high-altitude base station. In this embodiment, by configuring the payload and communication frequency band of the UAV emergency communication high-altitude base station, the operational performance of the UAV emergency communication high-altitude base station is ensured, and the reliability of emergency communication is improved.

[0105] As an optional embodiment, the construction and deployment of the UAV emergency communication high-altitude base station may also include: acquiring the collaborative equipment required for the operation of the UAV emergency communication high-altitude base station, and building a UAV emergency communication platform based on the collaborative equipment; connecting the UAV emergency communication platform with the power supply equipment, and supplying power to the power supply equipment and configuring it off-grid based on the connection result, thereby ensuring a stable power supply to the UAV emergency communication high-altitude base station and ensuring the operational effectiveness of the UAV emergency communication high-altitude base station.

[0106] Optionally, the emergency mobile communication drone platform is equipped with a variety of electrical devices, which can be powered by various power supply modes. For example, it can be powered by a vehicle-mounted power supply and some devices require AC 220V power. These two power supply modes can power a variety of electrical devices. It should be noted that the number and type of power supply modes mentioned here are only for illustrative purposes and are not specific limitations.

[0107] Optionally, when mains power is available, it can be used to power the vehicle's uninterruptible power supply (UPS) system, DC power supply, lighting, and other systems; when mains power is unavailable, a mobile generator set can be used to power the UAV platform equipment.

[0108] Furthermore, the time delay difference information between the base station and the signal transceiver base station can be determined; based on the time delay difference information, the operational stability coefficient of the base station can be determined.

[0109] Optionally, delay analysis indicators are determined between the base station and the signal transceiver base station. Based on these indicators, the delay categories between the UAV emergency communication high-altitude base station and the signal transceiver base station can be identified. These delay categories can be comprehensively calculated to determine the total delay value of the UAV emergency communication high-altitude base station, thus obtaining delay difference information. Based on the total delay value, the operational stability coefficient of the UAV emergency communication high-altitude base station can be calculated.

[0110] Alternatively, the total latency of the UAV emergency communication high-altitude base station can be calculated using the following formula:

[0111]

[0112] Where T represents the total latency of the UAV emergency communication high-altitude base station; μ represents the error coefficient, with a value range of [0.01, 0.015]; S represents the data transmission distance between the UAV emergency communication high-altitude base station and the signal transceiver base station; v1 represents the data transmission speed when transmitting the signal from the UAV emergency communication high-altitude base station to the signal transceiver base station; t1 represents the time required for the UAV emergency communication high-altitude base station to process the received signal; t2 represents the time required for the UAV emergency communication high-altitude base station to decode the received signal; L represents the data congestion length in the data buffer of the signal transceiver base station; and v2 represents the processing rate of the congested data in the data buffer of the signal transceiver base station. It should be noted that the above data sizes are merely examples and are not specifically limited here.

[0113] Alternatively, the operational stability coefficient of the UAV emergency communication high-altitude base station can be calculated using the following formula:

[0114]

[0115] in, δ can represent the operational stability coefficient of the UAV emergency communication high-altitude base station, and its value range is [0, 1]; δ can represent the weight value corresponding to the total delay value; i can represent the ordinal value of the calculated total delay value, and its value range is [1, n]; n can represent the total number of times the total delay value is calculated; T i γ can represent the total delay value obtained in the i-th calculation; γ can represent the weight value of the packet loss rate of the UAV emergency communication high-altitude base station during emergency communication; M can represent the total number of data packets sent when transmitting data between the UAV emergency communication high-altitude base station and the signal transceiver base station; m can represent the number of data packets lost when transmitting data between the UAV emergency communication high-altitude base station and the signal transceiver base station, and its value is less than M; q can represent the number of data packets that need to be retransmitted when transmitting data between the UAV emergency communication high-altitude base station and the signal transceiver base station, and its value is less than M.

[0116] Optionally, the calculated operational stability coefficient is compared with a preset threshold. If the calculated operational stability coefficient is greater than or equal to the preset threshold, the constructed and deployed UAV emergency communication high-altitude base station is deemed qualified, and a qualification result notification is sent to the management terminal. Otherwise, the constructed and deployed UAV emergency communication high-altitude base station is deemed unqualified, and the optimization direction and optimization parameters for the UAV emergency communication high-altitude base station are determined based on the calculation results. Based on the optimization direction and optimization parameters, the deployment optimization of the UAV emergency communication high-altitude base station is carried out until the calculated operational stability coefficient is greater than or equal to the preset threshold.

[0117] In this embodiment, the operational stability of the UAV emergency communication high-altitude base station is accurately and effectively assessed. When the operational stability coefficient does not meet the requirements, the deployment and optimization of the UAV emergency communication high-altitude base station are carried out in a timely manner. This enables an effective understanding of the real-time operational status of the UAV emergency communication high-altitude base station and ensures its operational effectiveness.

[0118] As an optional embodiment, step S102, obtaining scene information of the monitoring scene, includes: obtaining a scene map of the monitoring scene; determining the information collection area and the scene structure of the monitoring scene based on the scene map; determining the information collection path for the monitoring equipment based on the information collection area and the scene structure; controlling the monitoring equipment to move according to the information collection path and collecting information from the monitoring scene to obtain scene information.

[0119] In this embodiment, the aforementioned information collection area can be a cruise flight area. The aforementioned information collection path can be used to determine the flight path of the UAV when collecting scene information. It can be a cruise flight plan and may include the UAV's information collection waypoint set and information collection angle. Using this information collection path, the monitoring equipment can be controlled to collect information from multiple angles in the monitoring scene to obtain accurate scene information of the monitoring scene.

[0120] Optionally, in addition to controlling the monitoring equipment (i.e., drones) to monitor the monitoring scene in advance according to a preset trajectory to obtain scene information, the following steps can also be taken to use drones to monitor scene information of the monitoring scene (e.g., emergency scene).

[0121] Optionally, a scene map of the emergency site can be acquired, and the drone's cruise flight area and the scene structure of the emergency site can be determined based on the scene map. The requirements for the drone's emergency communication high-altitude base station can be acquired; these requirements can be predetermined and can be used to characterize the standards and conditions for building the high-altitude base station. Based on the drone's emergency communication high-altitude base station requirements, information collection needs and information collection areas (i.e., cruise flight areas) for the emergency site can be determined. Based on the information collection needs, cruise flight areas, and the scene structure of the emergency site, a drone cruise flight plan can be formulated. Furthermore, based on the above cruise flight plan, the drone's information collection waypoint set and the drone's information collection angle at each waypoint can be determined; that is, the drone's position point for information collection in the air. Collecting scene information at the above information collection waypoint set can improve the accuracy of the collected scene information. Based on the information collection waypoint set and information collection angle, the drone can be controlled to collect information from multiple angles over the emergency site to obtain scene information.

[0122] Optionally, the above method can be used to collect comprehensive and reliable scene information of emergency sites, thereby providing reliable data support for constructing three-dimensional simulation scenes of emergency sites.

[0123] For example, the process involves acquiring a scene map of the emergency site and determining the drone's patrol flight area and the scene structure based on this map; acquiring the requirements for the drone's emergency communication high-altitude base station, which can be predetermined and used to characterize the standards and conditions for building the high-altitude base station; based on these requirements, determining the information collection needs of the emergency site, and formulating a drone patrol flight plan based on these needs, the patrol flight area, and the scene structure; determining the drone's information collection waypoint set and the information collection angle at each waypoint, i.e., the drone's position for information collection in the air, and collecting scene information at this waypoint set to improve the accuracy of the collected scene information; and controlling the drone to collect information from multiple angles over the emergency site based on the information collection waypoint set and angle to obtain scene information. After collecting the scene information, it can be temporarily cached on a relay server. The data return service can be parsed to determine the relay server and data return protocol that interface with the drone. Upon obtaining the scene information, it is transmitted back to the relay server for temporary caching according to the data return protocol. Based on the temporary caching result, the scene information can be forwarded to the management terminal via the relay server's public network and dedicated line interfaces.

[0124] In this embodiment of the application, the monitoring scene is divided based on the environmental information of the monitoring scene to obtain at least one division area. The target demand for mobile data in the division area is determined. Based on the target demand, the deployment information of the monitoring equipment is determined so as to deploy the monitoring equipment. This achieves the technical effect of improving the deployment effect of the monitoring equipment and solves the technical problem of poor deployment effect of the monitoring equipment.

[0125] The embodiments of this application will be further described below using a method for constructing a high-altitude base station for emergency communication of unmanned aerial vehicles based on scenario modeling.

[0126] With the rapid development of the Internet, communication demands have been rising continuously, and communication security capabilities have attracted increasing attention. In particular, in emergency communication, the stability, durability, and coverage of communication are of great importance.

[0127] Currently, the construction of existing high-altitude emergency communication base stations using drones mostly involves directly deploying mobile base stations (which can be simply referred to as base stations) on the drones. The drones carry these mobile base stations during aerial patrols. However, during these patrols, the actual environment of the emergency site is not monitored, resulting in poor placement and parameter settings for the high-altitude emergency communication base stations. Furthermore, because it is emergency communication, drone-based emergency communication base stations are susceptible to electromagnetic interference and severe weather, potentially leading to communication interruptions or quality degradation, significantly reducing the effectiveness of the high-altitude emergency communication base station construction. Therefore, in the process of constructing high-altitude emergency communication base stations using drones, simply relying on drones to carry communication base stations for patrol flights over the emergency site without tailoring the configuration to the specific conditions of the emergency site will result in low resource utilization, poor communication performance, and consequently, technical problems related to the poor deployment of monitoring equipment.

[0128] To address the aforementioned issues, this embodiment utilizes drones to collect scene information from emergency sites. Based on this information, a 3D model of the emergency site is constructed. By analyzing the 3D model, the distribution of hotspots and the required capacity of each hotspot can be accurately and effectively determined. Based on the determined hotspots and required capacity, drone-based emergency communication high-altitude base stations can be built and deployed. This improves the communication effectiveness of the drone-based emergency communication high-altitude base stations in emergency locations, ensuring accurate and effective coverage of the emergency site. It also improves resource utilization, thereby enhancing the deployment effectiveness of monitoring equipment and resolving the technical problem of poor deployment performance of monitoring equipment.

[0129] Figure 2 This is a flowchart illustrating a method for constructing an emergency communication high-altitude base station for unmanned aerial vehicles (UAVs) according to an embodiment of this application. Figure 2 As shown, the method may include the following steps:

[0130] Step S201: Obtain scene information of the monitored scene.

[0131] In this embodiment, drones can be used to collect scene information at the emergency site, and the scene information can be transmitted back to the control terminal based on the data transmission service.

[0132] Step S202: Based on the scene information, construct a scene model of the monitoring scene.

[0133] In this embodiment, the control terminal can acquire and analyze the collected scene information to determine the multi-dimensional scene characteristics of the emergency site. These multi-dimensional scene characteristics can be used to characterize various different types of scene features in the emergency site, such as the areas where people gather or the deployment of buildings in the monitoring scene. Furthermore, a three-dimensional simulation scene of the emergency site can be constructed based on the multi-dimensional scene characteristics. For example, a simulation model can be constructed by simulating the multi-dimensional scene characteristics using computer software programs, or the distribution and size of surrounding buildings can be determined based on the multi-dimensional scene characteristics, and then a scene model can be obtained by simulating the scene using computer software programs.

[0134] Step S203: Based on the scenario model, determine the hotspot distribution in the monitoring scenario and the required hotspot capacity for each hotspot, and deploy and build the base station in the drone based on the hotspot distribution and the required hotspot capacity.

[0135] In this embodiment, based on a three-dimensional simulation scenario, hotspot areas in the emergency site and the required hotspot capacity of each hotspot area can be determined. Based on the hotspot areas and the required hotspot capacity of each hotspot area, an emergency communication high-altitude base station for UAVs can be built and deployed.

[0136] Optionally, Figure 3 This is a schematic diagram illustrating the interaction between a drone and a ground base station according to an embodiment of this application, as shown below. Figure 3 As shown, the working principle of the drone can include four parts: drone deployment, system connection, power supply activation, and ground station activation. Specifically, the drone 301 is started. After startup, it can connect to the tethered cable retraction device 302. Once connected, the engine 303 supplies power to the drone 301. Simultaneously, the ground station 304 is activated to perform a flight self-check on the drone 301 to determine if the self-check is normal. If the self-check fails, it can be repeated. After passing the self-check, the drone is controlled to take off. The tethered cable retraction device 302 can provide high-voltage DC power to the drone. The drone 301 can be a six-axis, twelve-rotor drone, and may include a base station and image acquisition equipment. The ground station 304 can send flight control commands to the drone 301 or collect flight status information from the drone 301.

[0137] Furthermore, after the drone 301 takes off, it can hover and monitor in real time whether it receives altitude or heading change commands from the remote controller 305. When it receives the corresponding flight control commands, it controls the drone 301 to change altitude or heading. At the same time, the ground station 304 collects the flight status information of the drone 301 to determine in real time whether the drone 3014 has completed the set task. After the task is completed, it controls the drone to land and be stored.

[0138] In this embodiment, by analyzing the 3D model, the construction location and communication frequency of the UAV emergency communication high-altitude base station can be accurately adapted. This enables the accurate and effective display of the multi-angle situation at the emergency site through the 3D model, and timely dynamic updates of the 3D model of the emergency site, thereby improving the communication stability and reliability of the UAV emergency communication high-altitude base station in emergency scenarios.

[0139] As an optional example, step S201 above can be further illustrated by the following steps: In addition to controlling the monitoring equipment (i.e., the drone) to monitor the monitoring scene according to a preset trajectory in order to obtain scene information, the drone can also be used to monitor scene information of the monitoring scene (e.g., an emergency scene) through the following steps.

[0140] Optionally, a scene map of the emergency site can be acquired, and the drone's cruise flight area and the scene structure of the emergency site can be determined based on the scene map. The requirements for the drone's emergency communication high-altitude base station can be acquired; these requirements can be predetermined and used to characterize the standards and conditions for building the high-altitude base station. Based on the drone's emergency communication high-altitude base station requirements, the information collection needs for the emergency site can be determined, and based on the information collection needs, the cruise flight area, and the scene structure of the emergency site, a drone cruise flight plan can be formulated. Furthermore, based on the above cruise flight plan, the drone's information collection waypoint set and the information collection angle of the drone at each information collection waypoint can be determined; that is, the location point where the drone collects information in the air. Collecting scene information at the above information collection waypoint set can improve the accuracy of the collected scene information. Based on the information collection waypoint set and the information collection angle, the drone can be controlled to collect information from multiple angles over the emergency site to obtain scene information of the emergency site.

[0141] Optionally, the above method can be used to collect comprehensive and reliable scene information of emergency sites, thereby providing reliable data support for constructing three-dimensional simulation scenes of emergency sites.

[0142] As an optional embodiment, Figure 4This is a flowchart illustrating a method for transmitting scene information back to a control terminal based on a data backhaul service, according to an embodiment of this application. Figure 4 As shown, transmitting scene information back to the management terminal based on the data backhaul service may include the following steps:

[0143] Step S401: Obtain scene information and parse the data return service.

[0144] In this embodiment, a data backhaul service can be pre-set. Using this data backhaul service, when scene information is collected, the format and communication requirements that need to be met for data backhaul can be determined to convert the scene information. For example, the communication rate for data backhaul can be pre-set to meet a set condition value, and the scene information can be backhauled according to the set condition value.

[0145] Optionally, scene information is obtained and the data backhaul service is parsed to determine the relay server and data backhaul protocol that are connected to the drone.

[0146] Step S402: Process the scene information based on the data backhaul protocol.

[0147] In this embodiment, the data backhaul service is parsed to determine the relay server and data backhaul protocol that interface with the drone. Based on the data backhaul protocol, the scene information can be backhauled to the relay server for temporary caching. Based on the temporary caching result, the scene information is forwarded to the control terminal according to the public network and dedicated line interface of the relay server.

[0148] Optionally, this embodiment uses a data backhaul service to accurately and effectively transmit the collected scene information to the control terminal, thereby ensuring the reliability of scene information transmission and providing reliable data for constructing a three-dimensional simulation scene.

[0149] The following is a further summary and explanation of the methods for collecting scene information.

[0150] Figure 5 This is a flowchart of a method for collecting and transmitting scene information according to an embodiment of this application, such as... Figure 5 As shown, scene information can be collected and transmitted through the following steps:

[0151] Step S501: Determine the drone's cruise flight plan.

[0152] In this embodiment, a scene map of the emergency site is acquired, and the drone's cruise flight area and the scene structure of the emergency site are determined based on the scene map; the requirements for the drone's emergency communication high-altitude base station are acquired, which can be predetermined and can be used to characterize the standards and conditions for building the high-altitude base station; based on the drone's emergency communication high-altitude base station requirements, the information collection needs for the emergency site can be determined, and based on the information collection needs, the cruise flight area, and the scene structure of the emergency site, a drone cruise flight plan can be formulated.

[0153] Step S502: Determine the information collection point and the corresponding collection angle of the information collection point.

[0154] In this embodiment, based on the above-mentioned cruise flight plan, the set of information collection waypoints of the UAV and the information collection angle of the UAV at each information collection waypoint can be determined, that is, the position point of the UAV in the air for information collection. The collection of scene information at the above-mentioned set of information collection waypoints can be used to improve the accuracy of the collected scene information.

[0155] Step S503: Control the drone to collect scene information.

[0156] In this embodiment, based on the information collection waypoint set and information collection angle, the UAV can be controlled to collect information from multiple angles over the emergency site in order to obtain scene information of the emergency site.

[0157] Step S504: Based on the regional location of the monitored scene, identify the scene information.

[0158] In this embodiment, the regional location of the monitoring scene is obtained, and the scene information monitored by the monitoring scene can be identified according to the regional location.

[0159] Step S505: Send the scene information back to the relay server for temporary caching.

[0160] In this embodiment, the data backhaul service can be parsed to determine the relay server and data backhaul protocol that interface with the drone. When scene information is obtained, it is sent back to the relay server for temporary caching according to the data backhaul protocol.

[0161] Step S506: Send the scene information back to the control terminal.

[0162] In this embodiment, based on the temporary cache results, the scenario information can be forwarded to the management terminal according to the public network and dedicated line interface of the relay server.

[0163] Optionally, when scene information is acquired, its format can be restored to obtain the restoration result. Based on the restoration result, the multi-dimensional acquisition features corresponding to the scene information can be determined. For example, the scene information can be a scene image or scene video. By parsing the scene information or extracting features from the scene image or scene video, multi-dimensional scene features can be obtained. Further, using the obtained multi-dimensional scene features, the scene information can be parsed to determine the specific location of the target area at the emergency site. This target area can be an area in the emergency scenario where the required quantity exceeds a threshold. After determining the specific location of the target area at the emergency site, the target area of ​​the scene information can be traced based on the multi-dimensional scene features to obtain the corresponding regional identity parameters. The regional identity parameters are then mapped to the scene information, and the regional identity parameters are bound to the scene information based on the mapping result.

[0164] In this embodiment, the above steps achieve the goal of forwarding scene information to the management terminal based on the temporary cache results and the public network and dedicated line interface of the relay server. This enables the collection of scene information to be bound to the corresponding scene area, making it easier for the management terminal to determine the correspondence between scene information and scene area, and ensuring the reliability of constructing the three-dimensional simulation scene.

[0165] As an optional embodiment, Figure 6 This is a flowchart of a method for constructing a three-dimensional model according to an embodiment of this application, such as... Figure 6 As shown, the method may include the following steps;

[0166] Step S601: Determine the event characteristics of the sudden emergency event at the emergency site.

[0167] In this embodiment, when an emergency event occurs at the emergency site, the scene information can be analyzed using a control terminal to obtain the analysis results. Based on the analysis results, key parameters of the emergency event at the emergency site can be determined. These key parameters can be used to characterize the type of emergency event and its impact.

[0168] Step S602: Determine the key points of scene modeling and processing.

[0169] In this embodiment, a second target emergency event can be retrieved from the historical emergency event response database based on key parameters. Based on the known processing results of the second target emergency event, key points for scenario modeling and handling can be determined. These key points can be used to determine the matters that need to be paid special attention to when building a 3D simulation scenario.

[0170] Step S603: Determine the scene elements required for scene modeling, as well as the feature information of the scene elements.

[0171] In this embodiment, based on the key points of scene modeling and processing, a set of scene elements is obtained from the scene information, and the scene elements in the scene information are extracted according to the set of scene elements to obtain the feature information of the scene elements.

[0172] For example, obtaining the requirements for building a 3D simulation scene could involve establishing a 3D simulation scene framework or monitoring the layout of various scene elements. It should be noted that this is merely an example and does not impose specific restrictions on the type of 3D simulation scene building requirements. A neural network model can be pre-trained based on these requirements. Using the trained neural network model, feature extraction can be performed on the obtained scene elements to obtain their feature information.

[0173] Step S604: Determine the effective scale space and dynamic objects at the emergency site.

[0174] In this embodiment, the effective scale space and dynamic objects of the emergency scene can be determined based on the feature information of scene elements. The effective scale space can be used to characterize key spatial information of the emergency scene, such as the size of buildings and the current size of the emergency scene. The dynamic objects can be used to characterize the current distribution of people in the emergency scene.

[0175] Optionally, based on scene information, the effective scale space can be correlated with the dynamic object's position. That is, by using scene information, the specific position of the dynamic object in the effective scale space at different times can be determined, and the position of the dynamic object at different times can be recorded to obtain the recording results. By recording the results, the relative positional relationship between the dynamic object and the effective scale space at different times can be obtained, thereby achieving the purpose of correlating the effective scale space with the dynamic object's position through the relative positional relationship.

[0176] Step S605: Determine the multi-dimensional scene characteristics of the emergency site.

[0177] In this embodiment, multi-dimensional scene features of the emergency site can be obtained based on the location association results.

[0178] Step S606: Construct a 3D terrain model and a 3D foreground model.

[0179] In this embodiment, based on multi-dimensional scene features, the emergency scene can be divided into a foreground scene and a background scene. The foreground scene can be used to characterize the buildings and personnel present at the emergency scene. The background scene can be used to characterize the environmental features of the emergency scene.

[0180] Optionally, when dividing the emergency scene into foreground and background scenes, the division can be made according to the characteristics of the foreground and background scenes. Based on the first point cloud data of the background scene, a three-dimensional terrain model can be constructed.

[0181] In this embodiment, based on scene information, the terrain texture of the emergency site can be determined and mapped onto a three-dimensional terrain model to obtain the corresponding three-dimensional terrain model.

[0182] Furthermore, in the first point cloud data of the 3D terrain model corresponding to the foreground scene, multiple second point cloud data corresponding to the dynamic objects are determined. A foreground 3D model is then constructed based on the multiple second point cloud data.

[0183] Step S607: Fit the 3D terrain model and the foreground 3D model to construct a 3D simulation scene of the emergency scenario.

[0184] In this embodiment, a three-dimensional geographic scene model and a foreground three-dimensional model can be fitted with multi-location feature point mapping to obtain a three-dimensional simulation scene of the emergency site.

[0185] Optionally, the above process can be performed on a computer, for example, by automatically converting the data using a pre-defined conversion code. It should be noted that there are no specific limitations on the execution of the above steps.

[0186] Step S608: Dynamically update the 3D simulation scene.

[0187] In this embodiment, the update frequency requirement for the scene information of the emergency site can be preset, and the drone can be controlled to update the scene information of the emergency site at intervals based on the update frequency.

[0188] Optionally, scene information of the emergency site can be collected intermittently by drones. Based on the newly collected scene information, the scene element variable of the emergency site can be determined. The constructed three-dimensional simulation scene can be updated synchronously based on the change of scene element, thereby achieving the purpose of synchronously updating the three-dimensional simulation scene according to the real-time changes of the emergency site and ensuring the real-time effectiveness of the three-dimensional simulation scene.

[0189] For example, based on the interval update results, the change amount of scene elements at the emergency site can be determined. This scene element variable can be used to determine the elements that have changed at the emergency site, such as changes in the gathering of people, changes in the environment, changes in the distribution of people at the emergency site, changes in the distribution of buildings or obstacles at the emergency site, etc. It should be noted that this is only an example and there are no specific restrictions on the types of changes in scene elements.

[0190] Figure 7This is a flowchart illustrating a method for fitting a 3D geographic scene model and a foreground 3D model according to an embodiment of this application, such as... Figure 7 As shown, the method may include the following steps:

[0191] Step S701: Determine the environmental features corresponding to the 3D geographic model and the object features corresponding to the foreground 3D model.

[0192] In this embodiment, based on multi-dimensional scene features, the emergency scene can be divided into a foreground scene and a background scene. A 3D geographic model corresponding to the background scene is determined; this 3D geographic model can be used to characterize the environmental features of the background scene. A foreground 3D model corresponding to the foreground scene is determined; this foreground 3D model can be used to characterize the features of objects.

[0193] Step S702: Determine the positioning points between the 3D geographic model and the foreground 3D model.

[0194] In this embodiment, the positioning points between the 3D geographic model and the foreground 3D model can be determined based on environmental features and object features.

[0195] Step S703: Construct the model fitting function.

[0196] In this embodiment, fitting functions between models can be constructed in advance through simulation training.

[0197] Step S704: The 3D scene model and the foreground 3D model are superimposed using a fitting function.

[0198] In this embodiment, the three-dimensional scene model and the foreground three-dimensional model are superimposed using a fitting function based on the positioning points.

[0199] As an optional embodiment, Figure 8 This is a flowchart illustrating a method for determining the distribution of hotspots at an emergency site and the required hotspot capacity for each hotspot, according to an embodiment of this application. Figure 8 As shown, the method may include the following steps;

[0200] Step S801: Determine the regional distribution range of the emergency site based on the three-dimensional simulation scene.

[0201] In this embodiment, a three-dimensional simulation scene is obtained, and based on the three-dimensional simulation scene, the regional distribution range of the emergency site can be determined.

[0202] Step S802: Based on the regional distribution range, obtain the hotspot distribution.

[0203] In this embodiment, based on the regional distribution range, the areas where users in need are concentrated at the emergency site can be determined. Based on these concentrated areas, the hotspot distribution at the emergency site can be obtained.

[0204] Step S803: Based on the hotspot distribution, determine the business demand for each hotspot.

[0205] In this embodiment, based on the hotspot distribution, the user traffic volume in each hotspot is obtained, and based on the user traffic volume, the traffic demand of each hotspot can be determined.

[0206] Step S804: Determine the required hotspot capacity for each hotspot based on business demand.

[0207] In this embodiment, the required hotspot capacity for each hotspot can be determined based on the volume of business demand.

[0208] In this embodiment, the high-altitude emergency communication base station for unmanned aerial vehicles (UAVs) can be a tethered UAV emergency communication high-altitude base station system, which can be composed of tethered UAVs and base station equipment. It can quickly ascend to 100 meters within 5 minutes and provide uninterrupted communication support services such as VoLTE and data services to the emergency area 24 hours a day. The coverage distance can reach 20 square kilometers and it supports a maximum of 5,400 users.

[0209] Since the Long-Term Evolution (LTE) network capacity of emergency communication drone platforms aims to meet the needs of users in the mission area, the configuration of capacity-type base stations should meet the needs of business development. Call statistics analysis data should be used as a reference, combined with user forecasts, to solve the problem of call overflow in hotspot areas. For coverage-type base stations, which are intended to provide coverage, resources can be configured according to the actual data demand forecast to avoid wasting capacity resources.

[0210] Table 1 Hotspot Capacity Planning Indicators during the Planning Period

[0211]

[0212] Figure 9 This is a schematic diagram of a monitoring device according to an embodiment of this application, such as... Figure 9 As shown, monitoring equipment may include drones, which can be equipped with base stations, antennas, and cameras. Table 1 lists the hotspot capacity planning indicators for the planning period. These indicators may include average throughput per sector and the number of Radio Resource Control (RRC) connected users. The number of RRC connected users refers to the number of connections established through the RRC protocol in a wireless communication system. It should be noted that the types of planning indicators mentioned above are for illustrative purposes only and are not specifically limited here.

[0213] For example, a macro base station can simultaneously support no fewer than 400 active users (i.e., users with service data queued for transmission in the DTCH) per carrier sector for both uplink and downlink, and can support at least 400 Voice over Long-Term Evolution (VoLTE) users. Each carrier sector must also support at least 1200 RRC connection users. Furthermore, the Baseband Unit (BBU) must be able to count the number of active users and RRC connection users. In the case of a single carrier sector, when the system bandwidth is 20 MHz, the peak downlink data throughput of each cell at Layer 1 is approximately 149 megabits per second (dual-stream transmission) or 75 megabits per second (single-stream transmission), and the peak uplink data throughput of Layer 1 is approximately 75 megabits per second (64QAM) or 50 megabits per second (16QAM). In the case of a single sector, when the system bandwidth is 15MHz, the peak downlink data throughput of each cell at layer 1 is approximately 111 megabits per second (dual-stream transmission) or 56 megabits per second (single-stream transmission), and the peak uplink data throughput of layer 1 is approximately 56 megabits per second (64QAM) or 38 megabits per second (16QAM).

[0214] In this embodiment, the distribution of hotspots in the emergency site is determined, and the required hotspot capacity for each hotspot in the distribution is accurately and effectively determined, thereby providing convenience and basis for the parameter configuration of UAV emergency communication high-altitude base stations.

[0215] As an optional embodiment, Figure 10 This is a schematic diagram illustrating a method for constructing and deploying an emergency communication high-altitude base station for unmanned aerial vehicles (UAVs) according to an embodiment of this application. Figure 10 As shown, the method may include the following steps:

[0216] Step S1001: Determine the distributed characteristics of the UAV emergency communication high-altitude base station at the emergency site.

[0217] In this embodiment, basic parameters of the UAV emergency communication high-altitude base station are obtained, and the air interface attributes of the UAV emergency communication high-altitude base station are determined based on these basic parameters. Based on the air interface attributes, the power attenuation and signal-to-noise ratio loss of the wireless link used by the UAV emergency communication high-altitude base station are determined, and the regional coverage area of ​​the UAV emergency communication high-altitude base station is obtained based on the power attenuation and signal-to-noise ratio loss. The distributed distribution characteristics of the UAV emergency communication high-altitude base station at the emergency site can be determined based on hotspot distribution, the required hotspot capacity of each hotspot, and the regional coverage area of ​​the UAV emergency communication high-altitude base station.

[0218] Step S1002: Adapt the high-altitude emergency communication base station for UAVs.

[0219] In this embodiment, the high-altitude base station for emergency communication of UAVs can be adapted based on the distributed characteristics. The adaptation may include configuring the working frequency band of the high-altitude base station for emergency communication of UAVs and configuring the working frequency band of newly added eNodeB devices. It should be noted that this is only an example and there are no specific restrictions on the type of adaptation object.

[0220] For example, the operating frequency band for newly added Engineering Evolution Base Station (eNodeB) equipment can be:

[0221] Frequency band (Band 1): 1920MHz-1940MHz (base station receive) 2110MHz-2130MHz (base station transmit);

[0222] Frequency band (Band 3): 1765MHz-1785MHz (base station receive) 1860MHz-1880MHz (base station transmit);

[0223] For shared macro base station equipment, the 1765-1785 / 1860-1880MHz (20MHz) band3 frequency band should be supported for use by China Telecom. The band3 base station equipment should support LTE dual-carrier operation in terms of hardware configuration, including 20MHz+20MHz, 20MHz+15MHz, and 15MHz+15MHz. Simultaneously, the eNodeB equipment should support online remote modification of the center frequency point and system bandwidth within the operating frequency band via network management software.

[0224] Optionally, based on the technical characteristics of the air interface, the power attenuation and signal-to-noise ratio loss of the link are calculated in order to determine the wireless link budget. For this purpose, link budgets need to be calculated for the two main scenarios of the fourth generation (4G) UAV emergency communication mission: urban and suburban areas.

[0225] Step S1003: Based on the hotspot distribution and the required hotspot capacity of each hotspot, build and deploy the high-altitude base station for UAV emergency communication.

[0226] In this embodiment, the high-altitude emergency communication base station for drones can be connected to the signal transceiver base station corresponding to the control terminal to complete the construction and deployment of the high-altitude emergency communication base station for drones.

[0227] Optionally, the high-altitude base station for UAV emergency communication is built and deployed based on the hotspot distribution and the required hotspot capacity of each hotspot, ensuring the communication reliability and stability of the final UAV emergency communication high-altitude base station.

[0228] As an optional implementation, the high-altitude base station for emergency communication of UAVs can be adapted based on the distributed characteristics.

[0229] In this embodiment, based on the distributed distribution characteristics of UAV emergency communication high-altitude base stations at the emergency site, the number of regional hotspots within the coverage area of ​​each UAV emergency communication high-altitude base station and the required hotspot capacity for each hotspot can be determined. Based on the number of regional hotspots and the required hotspot capacity for each hotspot, a first adaptation is performed on the mobile data network load of the corresponding UAV emergency communication high-altitude base station. This can generally be measured by two indicators: the number of users and the throughput. The number of users reflects market development, while the throughput reflects the network's traffic load level. Based on data transmission requirements, the communication frequency band of the UAV emergency communication high-altitude base station can be determined, and a second adaptation is performed on the UAV emergency communication high-altitude base station based on the communication frequency band.

[0230] Furthermore, based on the first and second adaptation results, the high-altitude emergency communication base station for UAVs can be connected to the signal transceiver base station corresponding to the control terminal, thereby completing the construction and deployment of the high-altitude emergency communication base station for UAVs.

[0231] In this embodiment, by configuring the payload and communication frequency band of the UAV emergency communication high-altitude base station, the operational performance of the UAV emergency communication high-altitude base station is ensured and the reliability of emergency communication is improved.

[0232] As an optional embodiment, the construction and deployment of the UAV emergency communication high-altitude base station may include: acquiring the collaborative equipment required for the operation of the UAV emergency communication high-altitude base station, and building a UAV emergency communication platform based on the collaborative equipment; connecting the UAV emergency communication platform with the power supply equipment, and supplying power to the power supply equipment and configuring it off-grid based on the connection result, thereby ensuring a stable power supply to the UAV emergency communication high-altitude base station and ensuring the operational effectiveness of the UAV emergency communication high-altitude base station.

[0233] Optionally, the emergency mobile communication drone platform is equipped with a variety of electrical devices, which can be powered by various power supply modes. For example, it can be powered by a vehicle-mounted power supply and some devices require AC 220V power. These two power supply modes can power a variety of electrical devices. It should be noted that the number and type of power supply modes mentioned here are only for illustrative purposes and are not specific limitations.

[0234] Optionally, when mains power is available, it can be used to power the vehicle's uninterruptible power supply system, DC power supply, lighting, and other systems; if mains power is not available, a mobile generator set can be used to power the UAV platform equipment.

[0235] As an optional embodiment, the construction and deployment of the UAV emergency communication high-altitude base station may further include: determining the latency category between the UAV emergency communication high-altitude base station and the signal transceiver base station based on latency analysis indicators; comprehensively calculating the latency categories to determine the total latency value of the UAV emergency communication high-altitude base station; and calculating the operational stability coefficient of the UAV emergency communication high-altitude base station based on the total latency value.

[0236] Alternatively, the total latency of the UAV emergency communication high-altitude base station can be calculated using the following formula:

[0237]

[0238] Where T represents the total latency of the UAV emergency communication high-altitude base station; μ represents the error coefficient, with a value range of [0.01, 0.015]; S represents the data transmission distance between the UAV emergency communication high-altitude base station and the signal transceiver base station; v1 represents the data transmission speed when transmitting the signal from the UAV emergency communication high-altitude base station to the signal transceiver base station; t1 represents the time required for the UAV emergency communication high-altitude base station to process the received signal; t2 represents the time required for the UAV emergency communication high-altitude base station to decode the received signal; L represents the data congestion length in the data buffer of the signal transceiver base station; and v2 represents the processing rate of the congested data in the data buffer of the signal transceiver base station. It should be noted that the above data sizes are merely examples and are not specifically limited here.

[0239] Alternatively, the operational stability coefficient of the UAV emergency communication high-altitude base station can be calculated using the following formula:

[0240]

[0241] in, δ can represent the operational stability coefficient of the UAV emergency communication high-altitude base station, and its value range is [0, 1]; δ can represent the weight value corresponding to the total delay value; i can represent the ordinal value of the calculated total delay value, and its value range is [1, n]; n can represent the total number of times the total delay value is calculated; T iγ can represent the total delay value obtained in the i-th calculation; γ can represent the weight value of the packet loss rate of the UAV emergency communication high-altitude base station during emergency communication; M can represent the total number of data packets sent when transmitting data between the UAV emergency communication high-altitude base station and the signal transceiver base station; m can represent the number of data packets lost when transmitting data between the UAV emergency communication high-altitude base station and the signal transceiver base station, and its value is less than M; q can represent the number of data packets that need to be retransmitted when transmitting data between the UAV emergency communication high-altitude base station and the signal transceiver base station, and its value is less than M.

[0242] Optionally, the calculated operational stability coefficient is compared with a preset threshold. If the calculated operational stability coefficient is greater than or equal to the preset threshold, the constructed and deployed UAV emergency communication high-altitude base station is deemed qualified, and a qualification result notification is sent to the management terminal. Otherwise, the constructed and deployed UAV emergency communication high-altitude base station is deemed unqualified, and the optimization direction and optimization parameters for the UAV emergency communication high-altitude base station are determined based on the calculation results. Based on the optimization direction and optimization parameters, the deployment optimization of the UAV emergency communication high-altitude base station is carried out until the calculated operational stability coefficient is greater than or equal to the preset threshold.

[0243] In this embodiment, the operational stability of the UAV emergency communication high-altitude base station is accurately and effectively assessed. When the operational stability coefficient does not meet the requirements, the deployment and optimization of the UAV emergency communication high-altitude base station are carried out in a timely manner. This enables an effective understanding of the real-time operational status of the UAV emergency communication high-altitude base station and ensures its operational effectiveness.

[0244] In this embodiment, the monitoring scene is divided based on the environmental information of the monitoring scene to obtain at least one division area. The target demand for mobile data in the division area is determined. Based on the target demand, the deployment information of the monitoring equipment is determined so as to deploy the monitoring equipment. This achieves the technical effect of improving the deployment effect of the monitoring equipment and solves the technical problem of poor deployment effect of the monitoring equipment.

[0245] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, as some steps may be performed in other orders or simultaneously according to this application. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions and modules involved are not necessarily essential to this application.

[0246] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods according to the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the related technology, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods of the various embodiments of this application.

[0247] This embodiment also provides a deployment apparatus for a monitoring device, which is used to implement the above embodiments and preferred embodiments; details already described will not be repeated. As used below, the terms "unit" and "apparatus" can refer to a combination of software and / or hardware that performs a predetermined function. Although the apparatus described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0248] According to an embodiment of this application, a deployment apparatus embodiment for implementing the above-described monitoring equipment is also provided. Figure 11 This is a schematic diagram of the structure of a deployment device for a monitoring equipment according to an embodiment of this application, such as... Figure 11 As shown, the deployment device 110 for the above-mentioned monitoring equipment includes: an acquisition unit 1102, a division unit 1104, a first determination unit 1106, a second determination unit 1108, and a deployment unit 1110.

[0249] The acquisition unit 1102 is used to acquire scene information of the monitoring scene.

[0250] The segmentation unit 1104 is used to segment the area in the monitoring scene based on scene information to obtain at least one segmentation area.

[0251] The first determining unit 1106 is used to determine the target demand for mobile data in at least one segmented area, wherein the target demand for mobile data to be transmitted is different in different segmented areas, and the mobile data is transmitted by base stations deployed in the monitoring equipment.

[0252] The second determining unit 1108 is used to determine the deployment information of the monitoring equipment based on the target demand.

[0253] Deployment unit 1110 is used to deploy monitoring equipment in the monitoring scenario according to the deployment information.

[0254] In this embodiment, the acquisition unit acquires scene information of the monitoring scene; the division unit divides the area in the monitoring scene based on the scene information to obtain at least one division area; the first determination unit determines the target demand for mobile data for each of the at least one division area, wherein the target demand for mobile data to be transmitted is different for different division areas, and the mobile data is transmitted by the base station deployed in the monitoring equipment; the second determination unit determines the deployment information of the monitoring equipment based on the target demand; and the deployment unit deploys the monitoring equipment in the monitoring scene according to the deployment information, thereby achieving the technical effect of improving the deployment effect of the monitoring equipment and solving the technical problem of poor deployment effect of the monitoring equipment.

[0255] It should be noted that the above modules can be implemented by software or hardware. For example, for the latter, it can be implemented in the following ways: the above modules can be located in the same processor; or the above modules can be located in different processors in any combination.

[0256] It should be noted that the acquisition unit 1102, the division unit 1104, the first determination unit 1106, the second determination unit 1108, and the deployment unit 1110 correspond to steps S102 to S110 in the embodiments. The instances and application scenarios implemented by the above units and corresponding steps are the same, but are not limited to the content disclosed in the above embodiments. It should be noted that the above modules, as part of the device, can run on a computer terminal.

[0257] It should be noted that the optional or preferred implementation methods of this embodiment can be found in the relevant descriptions in the embodiments, and will not be repeated here.

[0258] The deployment device for the aforementioned monitoring equipment may also include a processor and a memory. The acquisition unit 1102, the partitioning unit 1104, the first determination unit 1106, the second determination unit 1108, and the deployment unit 1110 are all stored in the memory as program modules. The processor executes the aforementioned program modules stored in the memory to achieve the corresponding functions.

[0259] The processor contains a core that retrieves the corresponding program modules from memory. One or more cores may be configured. Memory may include non-persistent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, like read-only memory (ROM) or flash RAM. Memory includes at least one memory chip.

[0260] According to an embodiment of this application, an embodiment of a non-volatile storage medium is also provided. Optionally, in this embodiment, the non-volatile storage medium includes a stored program, wherein, when the program runs, it controls the device where the non-volatile storage medium is located to execute any of the above-mentioned monitoring device deployment methods.

[0261] Optionally, in this embodiment, the non-volatile storage medium may be located in any computer terminal in a group of computer terminals in a computer network, or in any mobile terminal in a group of mobile terminals, and the non-volatile storage medium includes stored programs.

[0262] Optionally, during program execution, the device containing the non-volatile storage medium is controlled to perform the following functions: acquire scene information of the monitoring scene; divide the area in the monitoring scene based on the scene information to obtain at least one divided area; determine the target demand for mobile data for each of the at least one divided area, wherein the target demand for mobile data to be transmitted is different for different divided areas, and the mobile data is transmitted by the base station deployed in the monitoring device; determine the deployment information of the monitoring device based on the target demand; and deploy the monitoring device in the monitoring scene according to the deployment information.

[0263] According to an embodiment of this application, an embodiment of a processor is also provided. Optionally, in this embodiment, the processor is used to run a program, wherein the program executes any of the above-described methods for deploying monitoring devices.

[0264] According to an embodiment of this application, an embodiment of a computer program product is also provided, which, when executed on a data processing device, is adapted to execute a program that initializes the deployment method steps of a monitoring device having any of the above-described features.

[0265] Optionally, when the aforementioned computer program product is executed on a data processing device, it is suitable to execute an initialization program with the following method steps: acquiring scene information of the monitoring scene; dividing the area in the monitoring scene based on the scene information to obtain at least one divided area; determining the target demand for mobile data for each of the at least one divided area, wherein the target demand for mobile data to be transmitted is different for different divided areas, and the mobile data is transmitted by base stations deployed in the monitoring device; determining the deployment information of the monitoring device based on the target demand; and deploying the monitoring device in the monitoring scene according to the deployment information.

[0266] Figure 12 This is a schematic diagram of an electronic device according to an embodiment of this application, such as... Figure 12As shown, this application embodiment provides an electronic device 120, which includes a processor, a memory, and a program stored in the memory and executable on the processor. When the processor executes the program, it performs the following steps: acquiring scene information of a monitoring scene; dividing the area in the monitoring scene based on the scene information to obtain at least one divided area; determining the target demand for mobile data for each of the at least one divided area, wherein the target demand for mobile data to be transmitted is different for different divided areas, and the mobile data is transmitted by a base station deployed in the monitoring device; determining the deployment information of the monitoring device based on the target demand; and deploying the monitoring device in the monitoring scene according to the deployment information.

[0267] The sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0268] In the above embodiments of this application, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0269] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of modules described above can be a logical functional division, and in actual implementation, there may be other division methods. For example, multiple modules or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces, or indirect coupling or communication connection between modules, and may be electrical or other forms.

[0270] The modules described above as separate components may or may not be physically separate. Similarly, the components shown as modules may or may not be physical modules; they may be located in one place or distributed across multiple modules. Some or all of the modules can be selected to achieve the purpose of this embodiment, depending on actual needs.

[0271] Furthermore, the functional modules in the various embodiments of this application can be integrated into one processing module, or each module can exist physically separately, or two or more modules can be integrated into one module. The integrated modules described above can be implemented in hardware or as software functional modules.

[0272] If the integrated modules described above are implemented as software functional modules and sold or used as independent products, they can be stored in a computer-readable non-volatile storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to related technologies, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a non-volatile storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned non-volatile storage medium includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0273] The above are merely preferred embodiments of this application. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of this application, and these improvements and modifications should also be considered within the scope of protection of this application.

Claims

1. A method for deploying monitoring equipment, characterized in that, include: Obtain scene information for the monitored scene; Based on the scene information, the area in the monitoring scene is divided to obtain at least one divided area, including: determining a first target emergency event occurring in the monitoring scene based on the scene information; retrieving a second target emergency event from a database whose similarity to the first target emergency event is greater than a similarity threshold, wherein the database is used to store different emergency events; determining extraction information corresponding to the second target emergency event; extracting target extraction information in the monitoring scene from the scene information according to the extraction information; constructing a scene model based on the target extraction information, wherein the scene model is at least used to simulate the object distribution in the monitoring scene; and dividing the area in the monitoring scene based on the scene model to obtain at least one divided area. The target demand for mobile data is determined for at least one of the defined regions, wherein the target demand for mobile data to be transmitted is different for different defined regions, and the mobile data is transmitted by base stations deployed in the monitoring equipment; Based on the target demand, the deployment information of the monitoring equipment is determined; According to the deployment information, the monitoring equipment is deployed in the monitoring scenario.

2. The method according to claim 1, characterized in that, The step of constructing a scene model corresponding to the monitoring scene based on the scene information includes: Feature extraction is performed on the scene information to obtain multi-dimensional scene features; The scene model is obtained by simulating the multidimensional scene features.

3. The method according to claim 2, characterized in that, The step of extracting features from the scene information to obtain multi-dimensional scene features includes: The format of the scene information is restored to obtain the restoration result; Feature extraction is performed on the format restoration result to obtain the multidimensional scene features.

4. The method according to claim 1, characterized in that, The target extraction information includes at least the spatial information and dynamic objects of the monitoring scene, and the construction of the scene model based on the extracted information includes: Using the spatial information, the location information of the dynamic object in the monitoring scene is determined; The location information and the spatial information are correlated to obtain the correlation result; Based on the association results, the scene model is constructed.

5. The method according to claim 1, characterized in that, The method further includes: Update the scene information according to the update frequency; The deployment information is updated using the updated scenario information; According to the updated deployment information, redeploy the monitoring equipment in the monitoring scenario.

6. The method according to claim 1, characterized in that, The method further includes: Determine the time delay difference information between the base station and the signal transceiver base station; Based on the latency difference information, the operational stability coefficient of the base station is determined.

7. The method according to any one of claims 1 to 6, characterized in that, The acquisition of scene information for the monitoring scene includes: Obtain a scene map of the monitored scene; Based on the scene map, the information collection area and the scene structure of the monitoring scene are determined; Based on the information collection area and the scene structure, the information collection path of the monitoring device is determined; The monitoring equipment is controlled to move according to the information collection path, and information is collected from the monitoring scene to obtain the scene information.

8. A deployment device for monitoring equipment, characterized in that, include: The acquisition unit is used to acquire scene information of the monitored scene; A segmentation unit is configured to segment a region in the monitoring scene based on the scene information to obtain at least one segmented region, comprising: determining a first target emergency event occurring in the monitoring scene based on the scene information; retrieving a second target emergency event from a database whose similarity to the first target emergency event is greater than a similarity threshold, wherein the database is used to store different emergency events; determining extraction information corresponding to the second target emergency event; extracting target extraction information in the monitoring scene from the scene information according to the extraction information; constructing a scene model based on the target extraction information, wherein the scene model is at least used to simulate the object distribution in the monitoring scene; and segmenting a region in the monitoring scene based on the scene model to obtain at least one segmented region. The first determining unit is configured to determine the target demand for mobile data for at least one of the divided areas, wherein the target demand for mobile data to be transmitted is different for different divided areas, and the mobile data is transmitted by base stations deployed in the monitoring equipment. The second determining unit is used to determine the deployment information of the monitoring equipment based on the target demand. A deployment unit is used to deploy the monitoring equipment in the monitoring scenario according to the deployment information.

9. An electronic device, characterized in that, include: At least one processor; as well as A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-7.

10. A non-volatile storage medium storing computer instructions, characterized in that, The computer instructions are used to cause the computer to perform the method according to any one of claims 1-7.

11. A computer program product, characterized in that, Includes a computer program that, when executed by a processor, implements the method according to any one of claims 1-7.

Images