CN115843038A - Signal source processing system and method, unmanned aerial vehicle device and cloud position selection server - Google Patents
Signal source processing system and method, unmanned aerial vehicle device and cloud position selection server Download PDFInfo
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Abstract
The application provides a processing system, a method, an unmanned aerial vehicle device and a cloud location server of a signal source, including: the system comprises terminal equipment, a cloud position selection server and an unmanned aerial vehicle device, wherein the cloud position selection server establishes a 3D model number corresponding to an identification of a house to be processed and sends the 3D model number to the terminal equipment; the terminal equipment generates a scanning request and sends the scanning request to the unmanned aerial vehicle device, and the unmanned aerial vehicle device generates a scanning path corresponding to the building information graph according to the scanning request and scans the house to be processed to obtain object information in the house to be processed; the cloud position selection server receives object information which is sent by the unmanned aerial vehicle device and carries a 3D model number, and establishes a corresponding to-be-tested 3D scene model; and if the same scene model exists in the scene model library, sending the position information of the corresponding signal source to the terminal equipment. The problem that the position of the selected wireless signal source depends on the skill and experience of workers in the prior art is solved.
Description
Technical Field
The application relates to the technical field of communication, in particular to a signal source processing system and method, an unmanned aerial vehicle device and a cloud position selection server.
Background
The wireless communication technology is a short-distance wireless network transmission technology widely applied at present, and has the advantages of high transmission speed and long effective distance. The selection of the position of the wireless signal source plays a decisive role in the coverage area and the signal quality of the wireless signal.
In the prior art, when the position of a wireless signal source is selected, the position mainly depends on the professional skill and experience of a network engineer, but the prior art has higher technical requirements on workers, needs to configure a wireless signal transmitter, lacks an automatic means, needs a large amount of manual participation, and increases the labor cost and the time cost.
Disclosure of Invention
The application provides a signal source processing system, a signal source processing method, an unmanned aerial vehicle device and a cloud location selection server, which are used for solving the problems that in the prior art, the position of a wireless signal source is selected depending on professional skills and experience of a network engineer, and labor cost and time cost are high.
In a first aspect, the present application provides a system for processing a signal source, including: the system comprises terminal equipment, a cloud position selection server and an unmanned aerial vehicle device; the terminal device is configured to send a signal source processing request to the cloud position selection server, where the signal source processing request includes: the building information graph comprises the identification of the house to be processed and the building information graph corresponding to the identification of the house to be processed.
And the cloud position selection server is used for establishing a 3D model number corresponding to the identification of the house to be processed according to the signal source processing request and sending the 3D model number to the terminal equipment.
The terminal device is further configured to generate a scanning request and send the scanning request to the unmanned aerial vehicle device, where the scanning request includes: and the 3D model number and the building information graph corresponding to the identification of the house to be processed.
And the unmanned aerial vehicle device is used for generating a scanning path corresponding to the building information graph according to the scanning request, and scanning the house to be processed according to the scanning path to acquire the object information in the house to be processed.
The cloud position selection server is further configured to receive the object information carrying the 3D model number and sent by the unmanned aerial vehicle device, and establish a to-be-tested 3D scene model corresponding to the 3D model number according to the object information.
The cloud position selecting server is further used for inquiring a scene model library, and if a scene model identical to the 3D scene model to be tested exists, the position information of the signal source in the identical scene model is used as the position information of the first signal source in the 3D scene model to be tested, and the position information of the first signal source is sent to the terminal equipment.
In a specific implementation manner, the cloud position selection server is further configured to query the scene model library, and if a scene model identical to the 3D scene model to be tested does not exist, query and acquire a scene model with the highest similarity to the 3D scene model to be tested, acquire position information of a second signal source in the scene model with the highest similarity, and send the position information to the unmanned aerial vehicle device.
The unmanned aerial vehicle device is further used for transmitting a first wireless signal to be tested at the position information of the second signal source.
The system further comprises: and the wireless signal detection device is arranged in the house to be processed and used for sending the position information of the wireless signal detection device and a first wireless signal intensity chart generated based on the first wireless signal to be tested to the cloud position selection server.
The cloud location server is further configured to generate a first wireless signal coverage map corresponding to the identifier of the house to be processed according to the received location information of each wireless signal detection device and the corresponding first wireless signal strength map, and determine whether the location information of the second signal source meets a preset standard according to the first wireless signal coverage map.
The cloud position selecting server is further configured to send the position information of the second signal source to the terminal device when it is determined that the position information of the second signal source meets the preset standard.
In a specific implementation manner, the cloud location server is further configured to, when it is determined that the location information of the second signal source does not meet the preset standard, obtain location information of a third signal source according to the location information of the second signal source, the to-be-tested 3D scene model, and the first wireless signal coverage map, and send the location information to a terminal device.
In a specific implementation manner, the cloud position selection server is further configured to, when it is determined that the position information of the second signal source does not meet the preset standard, obtain, according to the position information of the second signal source, the 3D scene model to be tested, and the first wireless signal coverage map, position information of a third signal source, and send the position information to the unmanned aerial vehicle device.
The unmanned aerial vehicle device is further used for transmitting a second wireless signal to be tested at the position information of the third signal source.
The cloud position selection server is further configured to generate a second wireless signal coverage map according to the received position information of each wireless signal detection device and a second wireless signal intensity map generated based on the second wireless signal to be tested, and determine whether the position information of the third signal source meets a preset standard according to the second wireless signal coverage map.
In a specific implementation manner, the cloud position selection server is further configured to query the scene model library, and if a scene model identical to the 3D scene model to be tested does not exist and a scene model similar to the 3D scene model to be tested does not exist, obtain source position information of a fourth signal according to the 3D scene model to be tested, and send the source position information to the unmanned aerial vehicle device.
The unmanned aerial vehicle device is further used for transmitting a third wireless signal to be tested at the position information of the fourth signal source.
The cloud position selection server is further configured to generate a third wireless signal coverage map according to the received position information of each wireless signal detection device and a third wireless signal intensity map generated based on the third wireless signal to be tested, and determine whether the position information of the fourth signal source meets a preset standard according to the third wireless signal coverage map.
In a specific embodiment, the cloud position selection server is further configured to store the to-be-tested 3D scene model, and the location information of the second signal source/the location information of the third signal source/the location information of the fourth signal source in the scene model library.
In a second aspect, the present application provides an unmanned aerial vehicle apparatus, comprising: a first information interaction unit, configured to receive a scanning request sent by a terminal device, where the scanning request includes: and the 3D model number and the building information graph corresponding to the identification of the house to be processed.
And the route searching unit is used for generating a scanning path corresponding to the building information graph according to the scanning request.
And the laser radar scanning unit is used for scanning the house to be processed according to the scanning path.
And the camera shooting unit is used for acquiring two-dimensional information and/or three-dimensional information of the object in the scanning process of the laser radar scanning unit.
And the information processing unit is used for acquiring the object information in the house to be processed according to the two-dimensional information and/or the three-dimensional information of the object.
The first information interaction unit is further configured to send the object information carrying the 3D model number to a cloud location server, so that the cloud location server can select the signal source position of the processed house according to the object information.
In a specific embodiment, the method further comprises the following steps:
and the wireless signal transmitting unit is used for transmitting a wireless signal to be tested at the position information of the signal source according to the received test request carrying the position information of the signal source sent by the cloud position selection server.
In a third aspect, the present application provides a cloud location server, including:
a second information interaction unit, configured to receive a signal source processing request sent by a terminal device, where the signal source processing request includes: the building information graph comprises the identification of the house to be processed and the building information graph corresponding to the identification of the house to be processed.
And the 3D model number distribution unit is used for establishing a 3D model number corresponding to the identification of the house to be processed according to the signal source processing request and sending the 3D model number to the terminal equipment through the second information interaction unit.
And the 3D modeling unit is used for receiving the object information which is sent by the unmanned aerial vehicle device and carries the 3D model number, and establishing the 3D scene model to be tested corresponding to the 3D model number according to the object information.
And the information storage unit is used for storing the scene model library.
And the wireless signal source position selecting unit is used for inquiring the scene model library, taking the position information of the signal source in the same scene model as the position information of the first signal source in the 3D scene model to be tested if the scene model which is the same as the 3D scene model to be tested exists, and sending the position information of the first signal source to the terminal equipment.
In a specific embodiment, the wireless signal source position selecting unit is further configured to query the scene model library, and if there is no scene model that is the same as the 3D scene model to be tested, query and acquire a scene model with the highest similarity to the 3D scene model to be tested, acquire position information of a second signal source in the scene model with the highest similarity, and send the position information to the unmanned aerial vehicle device.
The cloud location server further comprises: and the wireless signal analysis unit is used for generating a first wireless signal coverage map corresponding to the identifier of the house to be processed according to the received position information of each wireless signal detection device and the corresponding first wireless signal intensity map, and determining whether the position information of the second signal source reaches a preset standard or not according to the first wireless signal coverage map.
The wireless signal analysis unit is further configured to send the location information of the second signal source to the terminal device when it is determined that the location information of the second signal source meets the preset standard.
In a specific embodiment, the radio signal analysis unit is further configured to, when it is determined that the location information of the second signal source does not meet the preset standard, obtain, according to the location information of the second signal source, the 3D scene model to be tested, and the first radio signal coverage map, location information of a third signal source, and send the location information to a terminal device.
In a fourth aspect, the present application provides a method for processing a signal source, where the method includes:
the cloud position selection server establishes a 3D model number corresponding to the identification of the house to be processed according to the signal source processing request sent by the terminal device, sends the 3D model number to the terminal device, so that the terminal device generates a scanning request and sends the scanning request to the unmanned aerial vehicle device, the unmanned aerial vehicle device generates a scanning path corresponding to the building information graph according to the scanning request, and scans the house to be processed according to the scanning path to acquire object information in the house to be processed.
And the cloud position selection server receives the object information carrying the 3D model number and sent by the unmanned aerial vehicle device, and establishes a to-be-tested 3D scene model corresponding to the 3D model number according to the object information.
And the cloud position selection server inquires a scene model library, if a scene model identical to the 3D scene model to be tested exists, the position information of the signal source in the identical scene model is used as the position information of a first signal source in the 3D scene model to be tested, and the position information of the first signal source is sent to the terminal equipment.
The application provides a processing system, a method, an unmanned aerial vehicle device and a cloud side position selection server of a signal source, and the system comprises: the system comprises terminal equipment, a cloud position selection server and an unmanned aerial vehicle device; the terminal device is configured to send a signal source processing request to the cloud position selection server, where the signal source processing request includes: the building information graph comprises an identifier of a house to be processed and a building information graph corresponding to the identifier of the house to be processed; the cloud position selection server is used for establishing a 3D model number corresponding to the identification of the house to be processed according to the signal source processing request and sending the 3D model number to the terminal equipment; the terminal device is further configured to generate a scanning request and send the scanning request to the unmanned aerial vehicle device, where the scanning request includes: building information graphs corresponding to the 3D model numbers and the identifications of the houses to be processed; the unmanned aerial vehicle device is used for generating a scanning path corresponding to the building information graph according to the scanning request, and scanning the house to be processed according to the scanning path to acquire object information in the house to be processed; the cloud position selection server is further used for receiving the object information carrying the 3D model number and sent by the unmanned aerial vehicle device, and establishing a to-be-tested 3D scene model corresponding to the 3D model number according to the object information; the cloud position selecting server is further used for inquiring a scene model library, and if a scene model identical to the 3D scene model to be tested exists, the position information of the signal source in the identical scene model is used as the position information of the first signal source in the 3D scene model to be tested, and the position information of the first signal source is sent to the terminal equipment. Compared with the prior art that the signal source is determined manually, the signal source is automatically and accurately selected through mutual assistance of the terminal device, the cloud position selecting server and the unmanned aerial vehicle device, the technical requirements on workers can be effectively reduced, and labor and time costs are reduced.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to these drawings without inventive exercise.
Fig. 1 is a schematic structural diagram of a signal source processing system according to an embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of a signal source processing system according to a second embodiment of the present application;
fig. 3 is a signaling flowchart of a signal source bit selection method of a signal source processing system according to a fourth embodiment of the present application;
fig. 4 is a schematic structural diagram of an unmanned aerial vehicle apparatus provided in the fifth embodiment of the present application;
fig. 5 is a schematic structural diagram of a cloud location selection server according to a sixth embodiment of the present application.
With the above figures, there are shown specific embodiments of the present application, which will be described in more detail below. These drawings and written description are not intended to limit the scope of the inventive concepts in any manner, but rather to illustrate the inventive concepts to those skilled in the art by reference to specific embodiments.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments that can be made by one skilled in the art based on the embodiments in the present application in light of the present disclosure are within the scope of the present application.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims of the present application and in the above-described drawings (if any) are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be implemented in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In the prior art, the position of a wireless signal source is selected depending on the professional skill and experience of a network engineer, so that the requirement on workers is high, and the problems of high labor cost and high time cost exist. The conception of the application is how to design a signal source processing system, so that no professional staff is needed to participate when the position of a wireless signal source is selected, and the time and labor cost are reduced.
The technical solution of the present application will be described in detail below with reference to specific examples. It should be noted that the following specific embodiments may be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments.
Fig. 1 is a schematic structural diagram of a processing system of a signal source according to an embodiment of the present application, and as shown in fig. 1, a processing system 10 of the signal source includes: terminal equipment 11, cloud position selecting server 12 and unmanned aerial vehicle device 13.
More specifically, the terminal device 11 is configured to send a signal source processing request to the cloud position selection server 12, where the signal source processing request includes: the identification of the house to be processed and the building information graph corresponding to the identification of the house to be processed.
The cloud location server 12 is configured to establish a 3D model number corresponding to an identifier of a house to be processed according to the signal source processing request, and send the 3D model number to the terminal device 11.
The terminal device 11 is further configured to generate a scanning request and send the scanning request to the drone apparatus 13, where the scanning request includes: and the 3D model number and the building information graph corresponding to the identification of the house to be processed.
The unmanned aerial vehicle device 13 is configured to generate a scanning path corresponding to the building information map according to the scanning request, and perform scanning processing on the house to be processed according to the scanning path, so as to obtain object information in the house to be processed.
In the present embodiment, for example, the unmanned aerial vehicle device 13 acquires the object information in the house to be processed according to the acquired two-dimensional and color information of the object in the house to be processed and the three-dimensional shape of the object.
The cloud position selection server 12 is further configured to receive object information carrying a 3D model number sent by the unmanned aerial vehicle device 13, and establish a to-be-tested 3D scene model corresponding to the 3D model number according to the object information.
The cloud location server 12 is further configured to query a scene model library, and if a scene model identical to the 3D scene model to be tested exists, use the position information of the signal source in the identical scene model as the position information of the first signal source in the 3D scene model to be tested, and send the position information of the first signal source to the terminal device 11.
In this embodiment, the terminal device 11, the cloud positioning server 12, and the unmanned aerial vehicle device 13 interact with each other through an operator network.
In this embodiment, by constructing a processing system for a signal source, a specific processing system for a signal source includes: the system comprises terminal equipment 11, a cloud position selection server 12 and an unmanned aerial vehicle device 13; the terminal device 11 is configured to send a signal source processing request to the cloud position selection server 12, where the signal source processing request includes: the identification of the house to be processed and the building information graph corresponding to the identification of the house to be processed; the cloud position selecting server 12 is used for establishing a 3D model number corresponding to the identification of the house to be processed according to the signal source processing request, and sending the 3D model number to the terminal device 11; the terminal device 11 is further configured to generate a scanning request and send the scanning request to the unmanned aerial vehicle apparatus 13, where the scanning request includes: building information graphs corresponding to the 3D model numbers and the identifications of the houses to be processed; the unmanned aerial vehicle device 13 is used for generating a scanning path corresponding to the building information map according to the scanning request, and scanning the house to be processed according to the scanning path to acquire object information in the house to be processed; the cloud position selection server 12 is further configured to receive object information carrying a 3D model number sent by the unmanned aerial vehicle device 13, and establish a to-be-tested 3D scene model corresponding to the 3D model number according to the object information; the cloud location server 12 is further configured to query a scene model library, and if a scene model identical to the 3D scene model to be tested exists, use the position information of the signal source in the identical scene model as the position information of the first signal source in the 3D scene model to be tested, and send the position information of the first signal source to the terminal device 11. Compared with the prior art that the signal source is determined manually, the method and the device have the advantages that the signal source is automatically and accurately selected, the technical requirements on workers can be effectively reduced, and labor and time costs are reduced.
Fig. 2 is a schematic structural diagram of a signal source processing system provided in a second embodiment of the present application, and based on the example shown in fig. 1, as shown in fig. 2, the cloud-side position selection server 12 in the signal source processing system 10 is further configured to query a scene model library, and if there is no scene model that is the same as the 3D scene model to be tested, query and obtain a scene model with the highest similarity to the 3D scene model to be tested, and obtain position information of a second signal source in the scene model with the highest similarity, and send the position information to the drone device 13. The drone device 13 is also used to transmit the first wireless signal to be tested at the location information of the second signal source.
The system 10 further comprises: a wireless signal detection device 14. Specifically, the wireless signal detection device 14 may be disposed in a house to be processed according to actual requirements, and is configured to send the position information of the wireless signal detection device 14 and a first wireless signal strength map generated based on a first wireless signal to be tested to the cloud location selection server 12.
Based on this, the cloud location server 12 is further configured to generate a first wireless signal coverage map corresponding to the identifier of the house to be processed according to the received location information of each wireless signal detection device 14 and the corresponding first wireless signal strength map, and determine whether the location information of the second signal source meets the preset standard according to the first wireless signal coverage map. The cloud location server 12 is further configured to send the location information of the second signal source to the terminal device 11 when it is determined that the location information of the second signal source meets a preset standard.
In addition, the cloud location server 12 is further configured to, when it is determined that the location information of the second signal source does not meet the preset standard, obtain, according to the location information of the second signal source, the location information of the third signal source and send the location information to the terminal device 11, the to-be-tested 3D scene model and the first wireless signal coverage map.
Furthermore, since the scene model library does not have the same scene model as the 3D scene model to be tested, after the signal source of the house to be processed is determined, the cloud location selection server 12 is further configured to store the 3D scene model to be tested and the location information of the second signal source/the location information of the third signal source in the scene model library.
In this embodiment, if a scene model identical to the to-be-tested 3D scene model does not exist in the scene model library, the position information of the second signal source in the scene model with the highest similarity to the to-be-tested 3D scene model is acquired and sent to the unmanned aerial vehicle device 13, the unmanned aerial vehicle device 13 flies to the position of the second signal source to transmit the first to-be-tested wireless signal, the wireless signal detection device 14 receives the first to-be-tested wireless signal and generates a first wireless signal strength map, the position coordinate information of the unmanned aerial vehicle and the first wireless signal strength map are sent to the cloud location selection server 12, the cloud location selection server 12 generates a first wireless signal coverage map corresponding to the identifier of the to-be-processed house according to the position coordinate information of the wireless signal detection device 14 and the first wireless signal strength map, and determines whether the position information of the second signal source meets a preset standard according to the first wireless signal coverage map. If the position information reaches the preset standard, the cloud position selection server 12 sends the position information of the second signal source to the terminal device 11, and stores the 3D scene model to be tested and the position information of the second signal source in a scene model library; if the position information does not meet the preset standard, the cloud position selection server 12 obtains the position information of the third signal source according to the position information of the second signal source, the 3D scene model to be tested and the first wireless signal coverage map, sends the position information of the third signal source to the terminal device 11, and stores the position information of the 3D scene model to be tested and the position information of the third signal source in the scene model library. Compared with the prior art that the signal source is determined manually, the method and the device have the advantages that the position of the wireless signal source is automatically and accurately selected, the technical requirements on workers can be effectively reduced, and labor and time costs are reduced.
On the basis of the example shown in fig. 2, in order to determine the signal source more accurately, the cloud positioning server 12 is further configured to send the location information of the third signal source to the unmanned aerial vehicle 13.
The drone device 13 is also configured to transmit a second wireless signal to be tested at the location information of the third signal source. The cloud location selection server 12 is further configured to generate a second wireless signal coverage map according to the received position information of each wireless signal detection device 14 and a second wireless signal strength map generated based on a second wireless signal to be tested, and determine whether the position information of the third signal source meets a preset standard according to the second wireless signal coverage map.
In this embodiment, if the preset criterion is met, the location information of the third signal source is sent to the terminal device 11, and if the preset criterion is not met, the location information of the next signal source is continuously obtained according to the location information of the previous signal source, the 3D scene model to be tested, and the previous wireless signal strength diagram, and is sent to the unmanned aerial vehicle device 13, and the process is repeated until the preset criterion is met.
Finally, the cloud positioning server 12 is further configured to store the 3D scene model to be tested and the finally determined position information of the signal source in a scene model library.
In this embodiment, the terminal device 11, the cloud location server 12, the unmanned aerial vehicle device 13, and the wireless signal detection device 14 interact with each other through an operator network.
In this embodiment, if a scene model identical to the to-be-tested 3D scene model does not exist in the scene model library, the position information of the second signal source in the scene model with the highest similarity to the to-be-tested 3D scene model is acquired and sent to the unmanned aerial vehicle device 13, the unmanned aerial vehicle device 13 flies to the position of the second signal source to transmit the first to-be-tested wireless signal, the wireless signal detection device 14 receives the first to-be-tested wireless signal and generates a first wireless signal strength map, the position coordinate information of the unmanned aerial vehicle and the first wireless signal strength map are sent to the cloud location selection server 12, the cloud location selection server 12 generates a first wireless signal coverage map corresponding to the identifier of the to-be-processed house according to the position coordinate information of the wireless signal detection device 14 and the first wireless signal strength map, and determines whether the position information of the second signal source meets a preset standard according to the first wireless signal coverage map. If the position information reaches the preset standard, the cloud position selection server 12 sends the position information of the second signal source to the terminal device 11, and stores the 3D scene model to be tested and the position information of the second signal source in a scene model library; if the preset standard is not reached, the cloud location selection server 12 obtains the position information of the third signal source according to the position information of the second signal source, the 3D scene model to be tested and the first wireless signal coverage map, and sends the position information of the third signal source to the unmanned aerial vehicle device 13, the unmanned aerial vehicle device 13 sends the second wireless signal to be tested at the position of the third signal source, the cloud location selection server 12 is further configured to detect the position information of each received wireless signal 14 and generate a second wireless signal coverage map based on the second wireless signal strength map generated by the second wireless signal to be tested, determine whether the position information of the third signal source reaches the preset standard according to the second wireless signal coverage map, send the position information of the third signal source to the terminal device 11 if the position information of the third signal source reaches the preset standard, and continue to obtain the position information of the next signal source according to the position information of the previous signal source, the 3D scene model to be tested and the previous wireless signal strength map and send the position information to the unmanned aerial vehicle 13 if the preset standard is not reached, and the above cycle is repeated until the preset standard is reached. Compared with the prior art that the signal source is determined manually, the method and the device have the advantages that the signal source is automatically and accurately selected, the technical requirements on workers can be effectively reduced, and labor and time costs are reduced.
In the signal source processing system provided by the third embodiment of the present application, on the basis of the above embodiments, the cloud location server 12 is further configured to query a scene model library, and if a scene model identical to the to-be-tested 3D scene model does not exist and a scene model similar to the to-be-tested 3D scene model does not exist, obtain source location information of a fourth signal according to the to-be-tested 3D scene model, and send the source location information to the unmanned aerial vehicle device 13; the drone device 13 is also configured to transmit a third wireless signal to be tested at the location information of the fourth signal source; the cloud location server 12 is further configured to generate a third wireless signal coverage map according to the received location information of each wireless signal detection device 14 and a third wireless signal strength map generated based on a third wireless signal to be tested, and determine whether the location information of the fourth signal source meets a preset standard according to the third wireless signal coverage map.
In this embodiment, the fourth signal source position can be selected according to the height of the object in the to-be-tested 3D scene model and the shielding condition, and the fourth signal source position information is obtained.
In this embodiment, if the preset criterion is met, the location information of the fourth signal source is sent to the terminal device 11, and if the preset criterion is not met, the location information of the next signal source is continuously obtained according to the location information of the previous signal source, the 3D scene model to be tested, and the previous wireless signal strength diagram, and is sent to the unmanned aerial vehicle device 13, and the process is repeated until the preset criterion is met.
And finally, the cloud position selecting server 12 is further configured to store the 3D scene model to be tested and the final position information of the signal source in a scene model library.
In this embodiment, if a scene model identical to the to-be-tested 3D scene model exists in the scene model library, the position information of the signal source in the identical scene model is used as the position information of the first signal source in the to-be-tested 3D scene model, and the position information of the first signal source is sent to the terminal device 11, and if the scene model identical to the to-be-tested 3D scene model does not exist and a scene model similar to the to-be-tested 3D scene model does not exist, the fourth signal source position information is obtained according to the to-be-tested 3D scene model. Compared with the prior art that a network engineer selects the position of the wireless signal source according to professional skills and experience, the method and the system do not need professional staff to participate, and time and labor cost are reduced.
Fig. 3 is a signaling flowchart of a signal source bit selection method of a signal source processing system according to a fourth embodiment of the present application, where the signal source processing system may be the system shown in the foregoing embodiment, specifically, as shown in fig. 3, the signal source bit selection method of the signal source processing system specifically includes the following steps:
step S301: and the terminal equipment sends a signal source processing request to the cloud position selection server.
Wherein, the signal source processing request comprises: the building information graph comprises the mark of the house to be processed and the building information graph corresponding to the mark of the house to be processed.
Step S302: the cloud position selection server establishes a 3D model number corresponding to the identification of the house to be processed according to the signal source processing request sent by the terminal device, and sends the 3D model number to the terminal device.
Step S303: the terminal equipment generates a scanning request and sends the scanning request to the unmanned aerial vehicle device.
Step S304: and the unmanned aerial vehicle device generates a scanning path corresponding to the building information graph according to the scanning request, and performs scanning processing on the house to be processed according to the scanning path so as to acquire object information in the house to be processed.
In this embodiment, the unmanned aerial vehicle device acquires the object information in the house to be processed according to the acquired two-dimensional and color information of the object in the house to be processed and the three-dimensional shape of the object.
Step S305: the cloud position selection server receives object information which is sent by the unmanned aerial vehicle device and carries a 3D model number, and establishes a to-be-tested 3D scene model corresponding to the 3D model number according to the object information; the cloud position selection server inquires a scene model base, if a scene model identical to the 3D scene model to be tested exists, the position information of the signal source in the identical scene model is used as the position information of the first signal source in the 3D scene model to be tested, and the position information of the first signal source is sent to the terminal equipment.
In this embodiment, if a scene model identical to the 3D scene model to be tested does not exist in the scene model library, querying and acquiring a scene model with the highest similarity to the 3D scene model to be tested, acquiring position information of a second signal source in the scene model with the highest similarity, and sending the position information to the unmanned aerial vehicle device; the unmanned aerial vehicle device transmits a first wireless signal to be tested at the position information of the second signal source. The wireless signal detection device arranged in the house to be processed receives a first wireless signal to be tested, generates a first wireless signal intensity graph based on the first wireless signal to be tested, and sends self position information and the first wireless signal intensity graph to the cloud position selection server. The cloud position selection server generates a first wireless signal coverage map corresponding to the identification of the house to be processed according to the position information of each wireless signal detection device and the corresponding first wireless signal intensity map, and determines whether the position information of the second signal source reaches a preset standard or not according to the first wireless signal coverage map.
And if the position information of the second signal source reaches the preset standard, sending the position information of the second signal source to the terminal equipment, and storing the 3D scene model to be tested and the position information of the second signal source in a scene model library. If the position information does not reach the preset standard, acquiring the position information of a third signal source according to the position information of the second signal source, the 3D scene model to be tested and a first wireless signal coverage map, and sending the position information to the unmanned aerial vehicle device, wherein the unmanned aerial vehicle device transmits a second wireless signal to be tested at the position information of the third signal source, a wireless signal detection device arranged in a house to be processed receives the second wireless signal to be tested, generates a second wireless signal strength map based on the second wireless signal to be tested, and sends the position information of the unmanned aerial vehicle and the second wireless signal strength map to the cloud position selection server.
And the cloud position selection server generates a second wireless signal coverage map corresponding to the identification of the house to be processed according to the position information of each wireless signal detection device and the corresponding second wireless signal intensity map, determines whether the position information of the third signal source reaches a preset standard or not according to the second wireless signal coverage map, and repeats the steps until the preset standard is reached.
In addition, it should be noted that if a scene model identical to the to-be-tested 3D scene model does not exist and a scene model similar to the to-be-tested 3D scene model does not exist, according to the to-be-tested 3D scene model, fourth signal source position information is acquired and sent to the unmanned aerial vehicle device, and the unmanned aerial vehicle device transmits a third to-be-tested wireless signal at the position information of the fourth signal source; the method comprises the steps that wireless signal detection devices arranged in a house to be processed receive a third wireless signal to be tested, a third wireless signal intensity graph is generated based on the third wireless signal to be tested, self position information and the third wireless signal intensity graph are sent to a cloud position selection server, the cloud position selection server generates a third wireless signal coverage graph corresponding to an identification of the house to be processed according to the position information of each wireless signal detection device and the corresponding third wireless signal intensity graph, and whether the position information of a fourth signal source reaches a preset standard or not is determined according to the third wireless signal coverage graph, and the steps are repeated until the preset standard is reached.
In this embodiment, the fourth signal source position can be selected according to the height of the object in the to-be-tested 3D scene model and the shielding condition, and the fourth signal source position information is obtained.
In the embodiment, the signal source position selecting method is implemented by constructing the signal source processing system, and compared with the prior art that a network engineer selects the position of a wireless signal source according to professional skills and experience, the method and the system do not need professional staff to participate, and time and labor cost are reduced.
Fig. 4 is a schematic structural diagram of an unmanned aerial vehicle apparatus provided in the fifth embodiment of the present application; the unmanned aerial vehicle device can be an unmanned aerial vehicle device of a processing system of any one of the signal sources. Specifically, as shown in fig. 4, the drone device 13 includes: the system comprises a first information interaction unit 131, a path searching unit 132, a laser radar scanning unit 133, a camera shooting unit 134 and an information processing unit 135.
The first information interaction unit 131 is configured to receive a scanning request sent by the terminal device 11, where the scanning request includes: and the 3D model number and the building information graph corresponding to the identification of the house to be processed.
And a path finding unit 132 for generating a scanning path corresponding to the building information map according to the scanning request.
And the laser radar scanning unit 133 is configured to perform scanning processing on the house to be processed according to the scanning path.
And the camera shooting unit 134 is used for acquiring two-dimensional information and/or three-dimensional information of the object in the scanning process of the laser radar scanning unit.
And an information processing unit 135 for acquiring object information in the house to be processed according to the two-dimensional information and/or the three-dimensional information of the object.
The information interaction unit 135 is further configured to send object information carrying the 3D model number to the cloud location server 12, so that the cloud location server 12 selects and processes the signal source position of the processed house according to the object information.
The unmanned aerial vehicle device 13 in this embodiment may perform the method example shown in fig. 3, and the implementation principle and the technical effect are similar, which are not described herein again.
In a possible embodiment, the drone device 13 further comprises:
the wireless signal transmitting unit 136 is configured to transmit a wireless signal to be tested at a position information of the signal source according to the received test request carrying the source position information sent by the cloud position selection server.
Fig. 5 is a schematic structural diagram of a cloud location server according to a sixth embodiment of the present application, where the cloud location server is a cloud location server of a processing system of any one of the signal sources. Specifically, as shown in fig. 5, the cloud location server 12 includes: a second information interaction unit 121, a 3D model number assignment unit 122, a 3D modeling unit 123, an information storage unit 124, and a wireless signal source position selection unit 125.
The second information interaction unit 121 is configured to receive a signal source processing request sent by the terminal device 11, where the signal source processing request includes: the identification of the house to be processed and the building information graph corresponding to the identification of the house to be processed.
And the 3D model number allocating unit 122 is configured to establish a 3D model number corresponding to the identifier of the house to be processed according to the signal source processing request, and send the 3D model number to the terminal device 11 through the second information interacting unit 121.
And the 3D modeling unit 123 is configured to receive object information carrying a 3D model number sent by the unmanned aerial vehicle device 13, and establish a to-be-tested 3D scene model corresponding to the 3D model number according to the object information.
And an information storage unit 124 for storing a scene model library.
And the wireless signal source position selecting unit 125 is configured to query the scene model library, and if a scene model identical to the 3D scene model to be tested exists, use the position information of the signal source in the identical scene model as the position information of the first signal source in the 3D scene model to be tested, and send the position information of the first signal source to the terminal device 11.
The cloud positioning server 12 in this embodiment may execute the method example shown in fig. 3, and the implementation principle and the technical effect are similar, which are not described herein again.
In a possible embodiment, the wireless signal source location selecting unit 125 is further configured to query a scene model library, and if there is no scene model that is the same as the 3D scene model to be tested, query and obtain a scene model with the highest similarity to the 3D scene model to be tested, and obtain the location information of the second signal source in the scene model with the highest similarity, and send the location information to the unmanned aerial vehicle device 13.
The cloud positioning server 12 further includes: and the wireless signal analysis unit 126 is configured to generate a first wireless signal coverage map corresponding to the identifier of the house to be processed according to the received location information of each wireless signal detection device and the corresponding first wireless signal strength map, and determine whether the location information of the second signal source meets a preset standard according to the first wireless signal coverage map.
The wireless signal analysis unit 126 is further configured to send the location information of the second signal source to the terminal device 11 when it is determined that the location information of the second signal source meets the preset standard.
In a possible embodiment, the wireless signal analysis unit 126 is further configured to, when it is determined that the location information of the signal source does not meet the preset standard, obtain, according to the location information of the second signal source, the location information of the third signal source and send the location information to the terminal device 11, the 3D scene model to be tested and the first wireless signal coverage map.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
It will be understood that the present application is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.
Claims (12)
1. A system for processing a signal source, comprising: the system comprises terminal equipment, a cloud position selection server and an unmanned aerial vehicle device; wherein the content of the first and second substances,
the terminal device is configured to send a signal source processing request to the cloud location server, where the signal source processing request includes: the building information graph comprises an identifier of a house to be processed and a building information graph corresponding to the identifier of the house to be processed;
the cloud position selection server is used for establishing a 3D model number corresponding to the identification of the house to be processed according to the signal source processing request and sending the 3D model number to the terminal equipment;
the terminal device is further configured to generate a scanning request and send the scanning request to the unmanned aerial vehicle device, where the scanning request includes: building information graphs corresponding to the 3D model numbers and the identifications of the houses to be processed;
the unmanned aerial vehicle device is used for generating a scanning path corresponding to the building information graph according to the scanning request, and scanning the house to be processed according to the scanning path to acquire object information in the house to be processed;
the cloud position selection server is further used for receiving the object information which is sent by the unmanned aerial vehicle device and carries the 3D model number, and establishing a to-be-tested 3D scene model corresponding to the 3D model number according to the object information;
the cloud position selection server is further used for inquiring a scene model library, if a scene model identical to the 3D scene model to be tested exists, the position information of the signal source in the identical scene model is used as the position information of the first signal source in the 3D scene model to be tested, and the position information of the first signal source is sent to the terminal equipment.
2. The signal source processing system of claim 1, wherein:
the cloud position selection server is further used for inquiring the scene model library, inquiring and acquiring a scene model with the highest similarity to the to-be-tested 3D scene model if the scene model same as the to-be-tested 3D scene model does not exist, acquiring position information of a second signal source in the scene model with the highest similarity, and sending the position information to the unmanned aerial vehicle device;
the unmanned aerial vehicle device is also used for transmitting a first wireless signal to be tested at the position information of the second signal source;
the system further comprises:
the wireless signal detection device is arranged in the house to be processed and used for sending the position information of the wireless signal detection device and a first wireless signal intensity graph generated based on the first wireless signal to be tested to the cloud position selection server;
the cloud location selection server is further configured to generate a first wireless signal coverage map corresponding to the identifier of the house to be processed according to the received location information of each wireless signal detection device and the corresponding first wireless signal strength map, and determine whether the location information of the second signal source meets a preset standard according to the first wireless signal coverage map;
the cloud position selecting server is further configured to send the position information of the second signal source to the terminal device when it is determined that the position information of the second signal source meets the preset standard.
3. The signal source processing system of claim 2, wherein:
the cloud position selection server is further configured to, when it is determined that the position information of the second signal source does not meet the preset standard, obtain position information of a third signal source according to the position information of the second signal source, the to-be-tested 3D scene model and the first wireless signal coverage map, and send the position information to a terminal device.
4. The signal source processing system of claim 2, wherein:
the cloud position selection server is further configured to, when it is determined that the position information of the second signal source does not meet the preset standard, obtain position information of a third signal source according to the position information of the second signal source, the to-be-tested 3D scene model and the first wireless signal coverage map, and send the position information to the unmanned aerial vehicle device;
the unmanned aerial vehicle device is further used for transmitting a second wireless signal to be tested at the position information of the third signal source;
the cloud position selection server is further configured to generate a second wireless signal coverage map according to the received position information of each wireless signal detection device and a second wireless signal intensity map generated based on the second wireless signal to be tested, and determine whether the position information of the third signal source meets a preset standard according to the second wireless signal coverage map.
5. The signal source processing system of claim 1, wherein:
the cloud position selection server is further used for inquiring the scene model library, and if a scene model identical to the to-be-tested 3D scene model does not exist and a scene model similar to the to-be-tested 3D scene model does not exist, fourth signal source position information is obtained according to the to-be-tested 3D scene model and is sent to the unmanned aerial vehicle device;
the unmanned aerial vehicle device is further used for transmitting a third wireless signal to be tested at the position information of the fourth signal source;
the cloud position selection server is further configured to generate a third wireless signal coverage map according to the received position information of each wireless signal detection device and a third wireless signal intensity map generated based on the third wireless signal to be tested, and determine whether the position information of the fourth signal source meets a preset standard according to the third wireless signal coverage map.
6. The signal source processing system according to any one of claims 2 to 5, wherein:
the cloud position selection server is further used for storing the 3D scene model to be tested, and the position information of the second signal source/the position information of the third signal source/the position information of the fourth signal source in the scene model library.
7. An unmanned aerial vehicle device, comprising:
a first information interaction unit, configured to receive a scanning request sent by a terminal device, where the scanning request includes: building information graphs corresponding to the 3D model numbers and the identifications of the houses to be processed;
the route searching unit is used for generating a scanning path corresponding to the building information graph according to the scanning request;
the laser radar scanning unit is used for scanning the house to be processed according to the scanning path;
the camera shooting unit is used for acquiring two-dimensional information and/or three-dimensional information of an object in the scanning process of the laser radar scanning unit;
the information processing unit is used for acquiring object information in the house to be processed according to the two-dimensional information and/or the three-dimensional information of the object;
the first information interaction unit is further configured to send the object information carrying the 3D model number to a cloud location server, so that the cloud location server can select the signal source position of the processed house according to the object information.
8. The unmanned aerial vehicle device of claim 7, further comprising:
and the wireless signal transmitting unit is used for transmitting a wireless signal to be tested at the position information of the signal source according to the received test request carrying the position information of the signal source sent by the cloud position selection server.
9. A cloud location server, comprising:
a second information interaction unit, configured to receive a signal source processing request sent by a terminal device, where the signal source processing request includes: the building information graph comprises an identifier of a house to be processed and a building information graph corresponding to the identifier of the house to be processed;
the 3D model number distribution unit is used for establishing a 3D model number corresponding to the identification of the house to be processed according to the signal source processing request and sending the 3D model number to the terminal equipment through the second information interaction unit;
the 3D modeling unit is used for receiving object information which is sent by the unmanned aerial vehicle device and carries the 3D model number, and establishing a to-be-tested 3D scene model corresponding to the 3D model number according to the object information;
the information storage unit is used for storing a scene model library;
and the wireless signal source position selecting unit is used for inquiring the scene model library, taking the position information of the signal source in the same scene model as the position information of the first signal source in the 3D scene model to be tested if the scene model which is the same as the 3D scene model to be tested exists, and sending the position information of the first signal source to the terminal equipment.
10. The cloud relocation server of claim 9, wherein:
the wireless signal source position selecting unit is also used for inquiring the scene model base, inquiring and acquiring a scene model with the highest similarity with the 3D scene model to be tested if the scene model which is the same as the 3D scene model to be tested does not exist, acquiring position information of a second signal source in the scene model with the highest similarity and sending the position information to the unmanned aerial vehicle device;
the cloud location server further comprises:
the wireless signal analysis unit is used for generating a first wireless signal coverage map corresponding to the identifier of the house to be processed according to the received position information of each wireless signal detection device and the corresponding first wireless signal intensity map, and determining whether the position information of the second signal source reaches a preset standard or not according to the first wireless signal coverage map;
the wireless signal analysis unit is further configured to send the location information of the second signal source to the terminal device when it is determined that the location information of the second signal source meets the preset standard.
11. The cloud relocation server of claim 10, wherein:
the wireless signal analysis unit is further configured to, when it is determined that the position information of the second signal source does not meet the preset standard, obtain position information of a third signal source according to the position information of the second signal source, the to-be-tested 3D scene model and the first wireless signal coverage map, and send the position information to a terminal device.
12. A signal source processing method applied to the signal source processing system according to any one of claims 1 to 6, the method comprising:
the cloud position selection server establishes a 3D model number corresponding to the identification of the house to be processed according to the signal source processing request sent by the terminal device, and sends the 3D model number to the terminal device, so that the terminal device generates a scanning request and sends the scanning request to the unmanned aerial vehicle device, the unmanned aerial vehicle device generates a scanning path corresponding to the building information map according to the scanning request, and the house to be processed is scanned according to the scanning path to obtain object information in the house to be processed;
the cloud position selection server receives the object information which is sent by the unmanned aerial vehicle device and carries the 3D model number, and establishes a to-be-tested 3D scene model corresponding to the 3D model number according to the object information;
and the cloud position selection server inquires a scene model library, if a scene model identical to the 3D scene model to be tested exists, the position information of the signal source in the identical scene model is used as the position information of a first signal source in the 3D scene model to be tested, and the position information of the first signal source is sent to the terminal equipment.
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