CN115843038B - 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 and a processing method of a signal source, an unmanned aerial vehicle device and a cloud position selection server, wherein the processing system comprises the following steps: the method comprises the steps that a terminal device, a cloud position selection server and an unmanned aerial vehicle device are arranged, the cloud position selection server establishes a 3D model number corresponding to a house identifier to be processed, and the 3D model number is sent to the terminal device; 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 acquire object information in the house to be processed; the cloud position selection server receives object information carrying with a 3D model number and sent by the unmanned aerial vehicle device, and establishes a corresponding 3D scene model to be tested; and if the same scene model exists in the scene model library, transmitting the position information of the corresponding signal source to the terminal equipment. The method solves the problem that the position of the selected wireless signal source depends on the skill and experience of staff in the prior art.
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 which is widely applied at present, and has the advantages of high transmission speed and long effective distance. The selection of the wireless signal source position has decisive effect on the wireless signal coverage and the signal quality.
In the prior art, when the wireless signal source position is selected, the method mainly depends on the professional skills and experience of a network engineer, but the prior art has higher technical requirements on staff, needs to configure a wireless signal transmitter, lacks an automation means, needs a large amount of manual participation, and increases the labor and 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 position 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 the professional skills and experiences of a network engineer, and the labor cost and the time cost are high.
In a first aspect, the present application provides a processing system for a signal source, comprising: the cloud terminal comprises terminal equipment, a cloud terminal position selection server and an unmanned aerial vehicle device; the terminal device is configured to send a signal source processing request to the cloud location server, where the signal source processing request includes: and the identification of the house to be processed and the building information diagram corresponding to the identification 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 scan request and send the scan request to the unmanned aerial vehicle device, where the scan request includes: and building information diagrams corresponding to the 3D model numbers and the identification 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 carrying out 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.
The cloud position selection server is further configured to receive the object information carrying the 3D model number sent by the unmanned aerial vehicle device, and establish a 3D scene model to be tested corresponding to the 3D model number according to the object information.
The cloud position selection server is further configured to query a scene model library, and if a scene model identical to the 3D scene model to be tested exists, take 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.
In a specific embodiment, the cloud location server is further configured to query the scene model library, and if there is no scene model identical to the 3D scene model to be tested, query and obtain a scene model with highest similarity to the 3D scene model to be tested, and obtain location information of a second signal source in the scene model with highest similarity, and send the location 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: the wireless signal detection device is arranged in the house to be processed and is used for sending the position information of the wireless signal detection device and the first wireless signal intensity graph generated based on the first wireless signal to be tested to the cloud position selection server.
The cloud position 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 position information of each wireless signal detection device and the corresponding first wireless signal intensity map, and determine whether the position information of the second signal source reaches a preset standard according to the first wireless signal coverage map.
And the cloud location server is further configured to send the location information of the second signal source to the terminal device when determining that the location information of the second signal source reaches the preset standard.
In a specific embodiment, the cloud location server is further configured to, when determining that the position information of the second signal source does not reach 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, obtain the position information of the third signal source, and send the obtained position information to the terminal device.
In a specific embodiment, the cloud location server is further configured to, when determining that the position information of the second signal source does not reach 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, obtain the position information of the 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 strength map generated based on the second wireless signal to be tested, and determine whether the position information of the third signal source reaches a preset standard according to the second wireless signal coverage map.
In a specific embodiment, the cloud location server is further configured to query the scene model library, and if there is no scene model identical to the 3D scene model to be tested and there is no scene model similar to the 3D scene model to be tested, acquire fourth signal source position information according to the 3D scene model to be tested, and send the fourth signal 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 strength map generated based on the third wireless signal to be tested, and determine whether the position information of the fourth signal source reaches a preset standard according to the third wireless signal coverage map.
In a specific embodiment, the cloud location server is further configured to store 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.
In a second aspect, the present application provides a drone apparatus comprising: the first information interaction unit is configured to receive a scan request sent by a terminal device, where the scan request includes: and building information diagrams corresponding to the 3D model numbers and the identification of the houses to be processed.
And the path 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 carrying out scanning treatment on the house to be treated 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 performs selection processing on the signal source position of the processed house according to the object information.
In one specific embodiment, the method further comprises:
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 and sent by the cloud position selection server.
In a third aspect, the present application provides a cloud location server, including:
The second information interaction unit is configured to receive a signal source processing request sent by the terminal device, where the signal source processing request includes: and the identification of the house to be processed and the building information diagram corresponding to the identification 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 the object information carrying the 3D model number sent by the unmanned aerial vehicle device and establishing a 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.
The wireless signal source position selecting unit is used for inquiring the scene model library, if the scene model which is the same as the 3D scene model to be tested exists, 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, 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 identical to the 3D scene model to be tested, query and obtain a scene model with highest similarity to the 3D scene model to be tested, and obtain location information of a second signal source in the scene model with highest similarity, and send the location information to the unmanned aerial vehicle device.
The cloud location server further includes: the wireless signal analysis unit is used for generating a first wireless signal coverage map corresponding to the identification 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 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 reaches the preset standard.
In a specific embodiment, the wireless signal analysis unit is further configured to, when it is determined that the position information of the second signal source does not reach 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 a terminal device.
In a fourth aspect, the present application provides a method for processing a signal source, 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 equipment, and sends the 3D model number to the terminal equipment so that the terminal equipment can generate a scanning request and send the scanning request to the unmanned aerial vehicle device, so that the unmanned aerial vehicle device can generate a scanning path corresponding to the building information graph according to the scanning request, and can perform 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.
The cloud position selection server receives object information carrying the 3D model number sent by the unmanned aerial vehicle device, and establishes a 3D scene model to be tested corresponding to the 3D model number according to the object information.
And the cloud position selection server queries a scene model library, if the scene model which is the same as the 3D scene model to be tested exists, takes 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, and sends the position information of the first signal source to the terminal equipment.
The application provides a processing system and a processing method of a signal source, an unmanned aerial vehicle device and a cloud position selection server, wherein the system comprises the following components: the cloud terminal comprises terminal equipment, a cloud terminal position selection server and an unmanned aerial vehicle device; 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 method comprises the steps of identifying a house to be processed and a building information diagram corresponding to 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 scan request and send the scan request to the unmanned aerial vehicle device, where the scan request includes: building information diagrams corresponding to the 3D model numbers and the identification 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 carrying out 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; the cloud position selection server is further configured to receive the object information carrying the 3D model number sent by the unmanned aerial vehicle device, and establish a 3D scene model to be tested corresponding to the 3D model number according to the object information; the cloud position selection server is further configured to query a scene model library, and if a scene model identical to the 3D scene model to be tested exists, take 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. Compared with the prior art that the signal source is determined manually, the method and the device for automatically selecting the signal source not only realize automation and accurately select the signal source, but also effectively reduce the technical requirements on workers and reduce the labor and time cost through the mutual assistance of the terminal equipment, the cloud position selection server and the unmanned aerial vehicle device.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions of the prior art, the drawings that are needed in the embodiments or the description of the prior art will be briefly described below, it will be obvious that the drawings in the following description are some embodiments of the present application, and that other drawings can be obtained according to these drawings without inventive effort to a person skilled in the art.
Fig. 1 is a schematic diagram of a processing system of a signal source according to a first embodiment of the present application;
fig. 2 is a schematic diagram of a processing system of a signal source according to a second embodiment of the present application;
Fig. 3 is a signaling flow chart of a signal source selecting 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 device according to a fifth embodiment of the present application;
Fig. 5 is a schematic structural diagram of a cloud location server according to a sixth embodiment of the present application.
Specific embodiments of the present application have been shown by way of the above drawings and will be described in more detail below. The drawings and the written description are not intended to limit the scope of the inventive concepts in any way, but rather to illustrate the inventive concepts to those skilled in the art by reference to the specific embodiments.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. All other embodiments, which are made by a person skilled in the art based on the embodiments of the application in light of the present disclosure, are intended to be within the scope of the application.
The terms "first," "second," "third," "fourth" and the like in the description and in the claims and in the above drawings, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the application described herein may be implemented in sequences other than those illustrated or otherwise 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 wireless signal source position is selected depending on the expertise and experience of a network engineer, so that the requirement on staff is high, and the problems of high labor cost and time cost exist. The application is designed to design a signal source processing system, which can reduce time and labor cost without the participation of professional staff when selecting the position of a wireless signal source.
The technical scheme of the application is described in detail through specific embodiments. It should be noted that the following 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 a first embodiment of the present application, as shown in fig. 1, a processing system 10 of the signal source includes: terminal equipment 11, high in the clouds position selection 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 location server 12, where the signal source processing request includes: the identification of the house to be processed and the building information diagram 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 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.
The terminal device 11 is further configured to generate a scan request and send the scan request to the unmanned aerial vehicle device 13, where the scan request includes: and building information diagrams corresponding to the 3D model numbers and the identification of the houses to be processed.
The unmanned aerial vehicle device 13 is configured to generate a scan path corresponding to the building information map according to the scan request, and perform scan processing on the house to be processed according to the scan 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 from the acquired two-dimensional, color information and three-dimensional form of the object in the house to be processed.
The cloud positioning 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 3D scene model to be tested 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, take 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 location server 12, and the unmanned aerial vehicle device 13 interact through an operator network.
In this embodiment, by constructing a processing system of a signal source, a specific processing system of the signal source includes: the cloud terminal comprises terminal equipment 11, a cloud terminal positioning 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 location server 12, where the signal source processing request includes: the identification of the house to be processed and the building information diagram 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 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; the terminal device 11 is further configured to generate a scan request and send the scan request to the unmanned aerial vehicle device 13, where the scan request includes: building information diagrams corresponding to the 3D model numbers and the identification of the houses to be processed; the unmanned aerial vehicle device 13 is used for generating a scanning path corresponding to the building information graph according to the scanning request, and carrying out scanning treatment on the house to be treated according to the scanning path so as to acquire object information in the house to be treated; 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 3D scene model to be tested 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, take 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 not only realize automatic and accurate selection of the signal source, but also effectively reduce the technical requirements on staff and reduce the labor and time cost.
Fig. 2 is a schematic structural diagram of a processing system of a signal source according to a second embodiment of the present application, where, on the basis of the example shown in fig. 1, as shown in fig. 2, a cloud location server 12 in the processing system 10 of the signal source is further configured to query a scene model library, and if there is no scene model identical to a 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 location information of a second signal source in the scene model with the highest similarity to send to the unmanned aerial vehicle device 13. The drone means 13 is also adapted to transmit a 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 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 reaches 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 determining that the location information of the second signal source reaches a preset standard.
In addition, the cloud location server 12 is further configured to, when determining that the position information of the second signal source does not reach 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, the position information of the third signal source, and send the obtained position information to the terminal device 11.
Further, since the scene model library does not have the same scene model as the 3D scene model to be tested, the cloud location server 12 is further configured to store the 3D scene model to be tested and the position information of the second signal source/the position information of the third signal source in the scene model library after determining the signal source of the house to be processed.
In this embodiment, if the scene model same as the 3D scene model to be tested 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 3D scene model to be tested is obtained 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 wireless signal to be tested, the wireless signal detection device 14 receives the first wireless signal to be tested and generates a first wireless signal intensity map, the position coordinate information of the wireless signal detection device and the first wireless signal intensity map are sent to the cloud position selection server 12, and the cloud position selection server 12 generates a first wireless signal coverage map corresponding to the identification of the house to be processed according to the position coordinate information of the wireless signal detection device 14 and the 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. If the preset standard is reached, the cloud positioning server 12 sends the position information of the second signal source to the terminal equipment 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 met, the cloud location 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 third signal source in the scene model library. Compared with the prior art that the signal source is manually determined, the wireless signal source position automatic control method not only realizes the automatic position of the wireless signal source, but also accurately selects the signal source, and can effectively reduce the technical requirements on staff and reduce the labor and time cost.
Based on the example shown in fig. 2, in order to determine the signal source more accurately, the cloud location server 12 is further configured to send the location information of the third signal source to the unmanned aerial vehicle device 13.
The drone means 13 is also used to transmit a second wireless signal to be tested at the location information of the third signal source. The cloud location server 12 is further configured to generate a second wireless signal coverage map according to the received location 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 location information of the third signal source reaches a preset standard according to the second wireless signal coverage map.
In this embodiment, if the preset standard is reached, the position information of the third signal source is sent to the terminal device 11, and if the preset standard is not reached, the position information of the next signal source is obtained continuously according to the position information of the last signal source, the 3D scene model to be tested and the last wireless signal strength map and is sent to the unmanned aerial vehicle device 13, and the cycle is performed until the preset standard is reached.
Finally, the cloud location server 12 is further configured to store the 3D scene model to be tested and the finally determined location 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 the scene model same as the 3D scene model to be tested 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 3D scene model to be tested is obtained 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 wireless signal to be tested, the wireless signal detection device 14 receives the first wireless signal to be tested and generates a first wireless signal intensity map, the position coordinate information of the wireless signal detection device and the first wireless signal intensity map are sent to the cloud position selection server 12, and the cloud position selection server 12 generates a first wireless signal coverage map corresponding to the identification of the house to be processed according to the position coordinate information of the wireless signal detection device 14 and the 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. If the preset standard is reached, the cloud positioning server 12 sends the position information of the second signal source to the terminal equipment 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 met, the cloud positioning 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 transmits the second wireless signal to be tested at the position of the third signal source, the cloud positioning 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 the second wireless signal to be tested, determine whether the position information of the third signal source meets the preset standard according to the second wireless signal coverage map, and send the position information of the third signal source to the terminal device 11 if the preset standard is not met, and continuously obtain the position information of the next signal source according to the position information of the last signal source, the 3D scene model to be tested and the last wireless signal strength map and send the position information of the next signal source to the unmanned aerial vehicle device 13, and circulate until the preset standard is met. Compared with the prior art that the signal source is determined manually, the method and the device not only realize automatic and accurate selection of the signal source, but also effectively reduce the technical requirements on staff and reduce the labor and time cost.
In the processing system for a signal source provided in the third embodiment of the present application, based on the above embodiments, the cloud location server 12 is further configured to query a scene model library, and if there is no scene model identical to the 3D scene model to be tested and there is no scene model similar to the 3D scene model to be tested, acquire the location information of the fourth signal source according to the 3D scene model to be tested, and send the location information to the unmanned aerial vehicle device 13; the unmanned aerial vehicle device 13 is further used for transmitting a third wireless signal to be tested at the position 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 reaches a preset standard according to the third wireless signal coverage map.
In this embodiment, the fourth signal source position may be selected according to the object height and the shielding condition in the 3D scene model to be tested, and the fourth signal source position information may be obtained.
In this embodiment, if the preset standard is reached, the position information of the fourth signal source is sent to the terminal device 11, and if the preset standard is not reached, the position information of the next signal source is obtained continuously according to the position information of the last signal source, the 3D scene model to be tested and the last wireless signal strength map and is sent to the unmanned aerial vehicle device 13, and the cycle is performed until the preset standard is reached.
Finally, the cloud location 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 the scene model library has the same scene model as the 3D scene model to be tested, the position information of the signal source in the same 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 device 11, if the scene model which has the same scene model as the 3D scene model to be tested does not exist, and if the scene model which has similar scene model to the 3D scene model to be tested does not exist, the position information of the fourth signal source is obtained according to the 3D scene model to be tested. Compared with the prior art that the network engineer selects the wireless signal source position according to the professional skill and experience, the application does not need the participation of professional staff, and reduces the time and labor cost.
Fig. 3 is a signaling flow chart of a signal source selecting method of a signal source processing system according to a fourth embodiment of the present application, where the signal source processing system may be a system shown in the foregoing embodiment, and specifically, as shown in fig. 3, the signal source selecting 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 includes: the identification of the house to be processed and the building information diagram corresponding to the identification 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 equipment, and sends the 3D model number to the terminal equipment.
Step S303: the terminal device generates a scanning request and transmits 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 object information in the house to be processed according to the acquired two-dimensional, color information and three-dimensional form of the object in the house to be processed.
Step S305: the cloud position selection server receives object information carrying a 3D model number and sent by the unmanned aerial vehicle device, and establishes a 3D scene model to be tested corresponding to the 3D model number according to the object information; the cloud position selection server queries a scene model library, if the scene model which is the same as the 3D scene model to be tested exists, the position information of the signal source in the same 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 the scene model identical to the 3D scene model to be tested does not exist in the scene model library, inquiring to obtain a scene model with highest similarity to the 3D scene model to be tested, and obtaining the position information of the second signal source in the scene model with highest similarity and sending the position information to the unmanned aerial vehicle device; the drone transmits a first wireless signal to be tested at the location 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 diagram based on the first wireless signal to be tested, and sends the self-position information and the first wireless signal intensity diagram 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 according to the first wireless signal coverage map.
If the preset standard is met, the position information of the second signal source is sent to the terminal equipment, and the 3D scene model to be tested and the position information of the second signal source are stored in a scene model library. If the preset standard is not met, according to the position information of the second signal source, the 3D scene model to be tested and the first wireless signal coverage map are obtained, the position information of the third signal source is sent to the unmanned aerial vehicle device, the unmanned aerial vehicle device transmits a second wireless signal to be tested at the position information of the third signal source, the wireless signal detection device arranged in the house to be processed receives the second wireless signal to be tested, a second wireless signal intensity map is generated based on the second wireless signal to be tested, and the position information and the second wireless signal intensity map are sent to the cloud position selection server.
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, and 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 the cloud position selection server reciprocates until the preset standard is reached.
In addition, it should be further noted that if there is no scene model identical to the 3D scene model to be tested and there is no scene model similar to the 3D scene model to be tested, according to the 3D scene model to be tested, acquiring the position information of the fourth signal source and transmitting the position information to the unmanned aerial vehicle device, where the unmanned aerial vehicle device transmits the third wireless signal to be tested; the wireless signal detection device arranged in the house to be processed receives a third wireless signal to be tested, generates a third wireless signal intensity diagram based on the third wireless signal to be tested, sends self-position information and the third wireless signal intensity diagram to the cloud position selection server, and the cloud position selection server generates a third wireless signal coverage diagram corresponding to the 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 diagram, and determines whether the position information of the fourth signal source reaches a preset standard according to the third wireless signal coverage diagram, so the position information is reciprocated until the preset standard is reached.
In this embodiment, the fourth signal source position may be selected according to the object height and the shielding condition in the 3D scene model to be tested, and the fourth signal source position information may be obtained.
In this embodiment, the signal source location method is implemented by constructing the processing system of the signal source, so that compared with the prior art that the network engineer selects the wireless signal source location according to the expertise and experience, the application does not need the participation of the professional, and reduces the time and labor cost.
Fig. 4 is a schematic structural diagram of an unmanned aerial vehicle device according to a fifth embodiment of the present application; the unmanned aerial vehicle device can be one unmanned aerial vehicle device of the processing system of any signal source. Specifically, as shown in fig. 4, the unmanned aerial vehicle device 13 includes: the system comprises a first information interaction unit 131, a road 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 scan request sent by the terminal device 11, where the scan request includes: and building information diagrams corresponding to the 3D model numbers and the identification of the houses to be processed.
The path searching unit 132 is configured to generate a scan path corresponding to the building information map according to the scan request.
And the laser radar scanning unit 133 is used for scanning the house to be processed according to the scanning path.
The camera shooting unit 134 is configured to acquire two-dimensional information and/or three-dimensional information of the object during the scanning process performed by the lidar scanning unit.
An information processing unit 135 for acquiring object information in the house to be processed based on 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 performs a selection process on 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 its implementation principle and technical effects are similar, and will not be described here again.
In one possible embodiment, the unmanned aerial vehicle device 13 further comprises:
The wireless signal transmitting unit 136 is configured to transmit 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 terminal 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 the processing system of any of the above signal sources. Specifically, as shown in fig. 5, the cloud location server 12 includes: the system comprises a second information interaction unit 121, a 3D model number distribution 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 diagram corresponding to the identification of the house to be processed.
The 3D model number allocation unit 122 is configured to establish a 3D model number corresponding to the identification 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 interaction unit 121.
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 3D scene model to be tested corresponding to the 3D model number according to the object information.
And an information storage unit 124 for storing a scene model library.
The wireless signal source position selecting unit 125 is configured to query a scene model library, and if a scene model identical to the 3D scene model to be tested exists, take 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 location server 12 in this embodiment may execute the method example shown in fig. 3, and its implementation principle and technical effects are similar, and will not be described herein.
In a possible implementation manner, the wireless signal source position selecting unit 125 is further configured to query a scene model library, and if there is no scene model identical to the 3D scene model to be tested, query and obtain a scene model with highest similarity to the 3D scene model to be tested, and obtain location information of a second signal source in the scene model with highest similarity, and send the location information to the unmanned aerial vehicle device 13.
The cloud location server 12 further includes: 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 reaches 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 a preset criterion.
In a possible implementation manner, the wireless signal analysis unit 126 is further configured to, when it is determined that the position information of the signal source does not reach 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, the position information of the third signal source, and send the obtained position information to the terminal device 11.
Other embodiments of the application will be apparent to those skilled in the art from consideration of the specification and practice of the application disclosed herein. This application is intended to cover any variations, uses, or adaptations of the application 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 application 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 is to be understood that the application is not limited to the precise arrangements and instrumentalities shown in the drawings, which have been described above, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the application is limited only by the appended claims.
Claims (8)
1. A signal source processing system, comprising: the cloud terminal comprises terminal equipment, a cloud terminal position selection server and an unmanned aerial vehicle device; wherein,
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 method comprises the steps of identifying a house to be processed and a building information diagram corresponding to 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 scan request and send the scan request to the unmanned aerial vehicle device, where the scan request includes: building information diagrams corresponding to the 3D model numbers and the identification 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 carrying out 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;
The cloud position selection server is further configured to receive the object information carrying the 3D model number sent by the unmanned aerial vehicle device, and establish a 3D scene model to be tested corresponding to the 3D model number according to the object information;
The cloud position selection server is further configured to query a scene model library, and if a scene model identical to the 3D scene model to be tested exists, take the position information of a signal source in the identical scene model as the position information of a 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;
the cloud position selection server is further configured to query the scene model library, query and obtain a scene model with highest similarity to the 3D scene model to be tested if the scene model is not the same as the 3D scene model to be tested, and obtain position information of a second signal source in the scene model with highest similarity to send 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:
the wireless signal detection device is arranged in the house to be processed and is 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 position 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 position information of each wireless signal detection device and the corresponding first wireless signal intensity map, and determine whether the position information of the second signal source reaches a preset standard according to the first wireless signal coverage map;
and the cloud location server is further configured to send the location information of the second signal source to the terminal device when determining that the location information of the second signal source reaches the preset standard.
2. The signal source processing system of claim 1, wherein:
and the cloud location selection server is further configured to, when determining that the position information of the second signal source does not reach 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, and send the position information of the third signal source to a terminal device.
3. The signal source processing system of claim 1, wherein:
The cloud location server is further configured to, when determining that the position information of the second signal source does not reach 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, obtain 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 strength map generated based on the second wireless signal to be tested, and determine whether the position information of the third signal source reaches a preset standard according to the second wireless signal coverage map.
4. The signal source processing system of claim 1, wherein:
The cloud location server is further configured to query the scene model library, and if there is no scene model identical to the 3D scene model to be tested and there is no scene model similar to the 3D scene model to be tested, acquire fourth signal source position information according to the 3D scene model to be tested, and send the fourth signal 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 strength map generated based on the third wireless signal to be tested, and determine whether the position information of the fourth signal source reaches a preset standard according to the third wireless signal coverage map.
5. A signal source processing system according to any one of claims 1 to 4, wherein:
The cloud position selection server is further configured to store 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.
6. The utility model provides a high in clouds position selection server which characterized in that includes:
the second information interaction unit is configured to receive a signal source processing request sent by the terminal device, where the signal source processing request includes: the method comprises the steps of identifying a house to be processed and a building information diagram corresponding to 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 carrying the 3D model number sent by the unmanned aerial vehicle device and establishing a 3D scene model to be tested corresponding to the 3D model number according to the object information;
The information storage unit is used for storing a scene model library;
The wireless signal source position selecting unit is used for inquiring the scene model library, if the scene model which is the same as the 3D scene model to be tested exists, 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, and sending the position information of the first signal source to the terminal equipment;
The wireless signal source position selection unit is further used for inquiring the scene model library, inquiring and acquiring a scene model with 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, and acquiring the position information of a second signal source in the scene model with highest similarity and sending the position information to the unmanned plane device;
the cloud location server further includes:
the wireless signal analysis unit is used for generating a first wireless signal coverage map corresponding to the identification 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 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 reaches the preset standard.
7. The cloud location server of claim 6, wherein:
and the wireless signal analysis unit is further configured to, when it is determined that the position information of the second signal source does not reach 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 a terminal device.
8. A signal source processing method applied to the signal source processing system according to any one of claims 1 to 5, characterized in that the method comprises:
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 equipment, and sends the 3D model number to the terminal equipment so that the terminal equipment can generate a scanning request and send the scanning request to an unmanned aerial vehicle device, so that the unmanned aerial vehicle device can generate a scanning path corresponding to the building information graph according to the scanning request, and can perform 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;
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 3D scene model to be tested corresponding to the 3D model number according to the object information;
and the cloud position selection server queries a scene model library, if the scene model which is the same as the 3D scene model to be tested exists, takes 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, and sends the position information of the first signal source to the terminal equipment.
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