CN113060302B - Signal intensity calculation method and application system thereof - Google Patents
Signal intensity calculation method and application system thereof Download PDFInfo
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Abstract
The invention discloses a signal strength calculation method and an application system thereof, wherein unmanned aerial vehicle image transmission has the characteristics of low delay and high definition, so the requirement on signals is high, simultaneously, a link for returning an image is complex, at present, due to the limitation of related technologies, when people fly in areas with complex signals such as cities and the like, the signal change is large, and the problem often occurs in a middle transmission link, and only when the whole link is predicted and researched before taking off and the signals are detected and analyzed in real time in flight, and the optimization analysis is carried out according to task conditions after flying, the existing flight problem can be better solved.
Description
Technical Field
The invention relates to the field of airspace signal analysis, in particular to a signal intensity calculation method and an application system thereof, which are suitable for prejudging and detecting flight missions of unmanned aerial vehicles.
Background
Along with the development of unmanned aerial vehicle technique, the demand in segment market field increases, and unmanned aerial vehicle's application is showing more and more abundant possibility, mainly is applied to fields such as aerial photography, security protection, emergent, public safety. The conditions of weak signal intensity, signal interruption, insufficient capacity, link interruption and the like can occur in the task execution process of the unmanned aerial vehicle, the unmanned aerial vehicle can be assisted to execute the flight task by using the airspace signal analysis system, the preflight judgment and the flight detection can be realized, the bottleneck of the current flight task can be effectively solved, and the flight task efficiency is improved.
Disclosure of Invention
Aiming at the problems, the unmanned aerial vehicle can serve activities such as public security, security protection, surveying and mapping and the like through technical means such as an LTE network, cloud computing, big data and the like and through airspace signal analysis and link detection, so that the urban safety management and emergency level can be further provided.
A signal strength calculation method comprises the following specific steps:
step S1: flight prejudging; performing flight detection before the flight mission of the unmanned aerial vehicle, wherein the flight detection comprises data such as base station and link states, applied number of flight areas, unmanned aerial vehicle return parameters and the like; the data such as the unmanned aerial vehicle return parameters refer to RSRP and SINR data;
before the unmanned aerial vehicle flies, collecting three condition information, namely base station and link state, applied number of flying areas, RSRP (reference signal received power) and SINR (signal to interference plus noise ratio) returned by the unmanned aerial vehicle to carry out flying prediction, judging whether the unmanned aerial vehicle can fly, and executing a task when the three conditions are met;
step S2: detecting base station equipment in real time; detecting base station equipment in real time, displaying an alarm when the equipment fails, and giving a prompt in the system in time;
step S3: real-time airspace information; the method comprises the steps that a planning line of the unmanned aerial vehicle can prejudge the ID of a base station accessed by the unmanned aerial vehicle and the distance between the unmanned aerial vehicle and the base station, and the RSRP value of the position of the unmanned aerial vehicle is calculated through a free space propagation model formula; meanwhile, the wireless signal strength RSRP and the signal-to-interference-plus-noise ratio SINR returned by other unmanned aerial vehicles in the coverage area of the current base station are obtained, and whether a new unmanned aerial vehicle can be allowed to access in the coverage area of the base station is judged according to the calculated RSRP value, the RSRP value returned by the flying unmanned aerial vehicle and the SINR value;
step S4: detecting a link; the whole link state of the unmanned aerial vehicle-base station-core network-private network-ground station can be detected, early warning is timely carried out when the link is found to be interrupted, and corresponding measures are taken;
step S5: detecting the state of a base station; displaying the position information of the base station and detecting the state of the base station in real time;
step S6: displaying the state of the ground station; displaying the position of the ground station, and displaying the state information of the ground station, wherein the state information of the ground station comprises online, offline and fault conditions;
step S3, the self-space propagation model formula is:
P-32.45+20lgf+20lgd，
wherein, P is the wireless pilot signal power of the base station antenna port, the unit is dBm, f is the used frequency, the unit is MHz, d is the distance between the position of the unmanned aerial vehicle and the base station, and the unit is km.
An airspace signal analysis system applying the signal intensity calculation method of claim 1, wherein the system calculates the signal intensity of a position point by collecting log data of an unmanned aerial vehicle, performing parameter analysis, and establishing an algorithm model; the algorithm models are RSRP parameter analysis models and SINR parameter analysis models.
The RSRP and SINR parameter analysis model is specifically as follows:
when the RSRP is more than or equal to A, SINR and more than or equal to a, M unmanned aerial vehicles can be accessed; (wherein the value range of A is more than or equal to-40 and more than or equal to A and more than or equal to-110, and the value range of a is more than or equal to 30 and more than or equal to a and more than or equal to-3); the RSRP is more than or equal to a certain set value A (the value is set according to the actual condition and is taken within a certain range), the SINR is more than or equal to a certain set data a (the value is set according to the actual condition and is taken within a certain range), at the moment, the set base station X can support M unmanned aerial vehicles to fly simultaneously, execute tasks, cannot exceed M, otherwise, the phenomena of out-of-control, screen splash and the like can occur;
when the C is larger than RSRP and larger than D, C and the SINR is larger than d, the N unmanned aerial vehicles can be accessed; (wherein the value range of C is-40 is more than or equal to C and more than or equal to-110, the value range of D is-40 is more than or equal to D and more than or equal to-110, C is more than or equal to D, the value range of C is more than or equal to 30 and more than or equal to C and more than or equal to-3, the value range of D is more than or equal to 30 and more than or equal to D); when RSRP is within a certain interval range (this range is set for according to actual conditions, can set for the range interval), SINR more than or equal to certain settlement data c (this range is set for according to actual conditions, can set for the range interval), it can support N unmanned aerial vehicle to fly simultaneously to set for basic station X this moment, carries out the task, can not exceed N framves, otherwise can appear out of control, phenomenon such as flower screen.
The unmanned aerial vehicle quantity equivalent model that basic station supported in this application: ' Qiyi
RSRP < -95: the maximum number of the unmanned aerial vehicles supported is 0
RSRP is not less than 95 and not more than 85 dBm: the maximum number of supported unmanned aerial vehicles is 3
-85< RSRP ≦ 75 dBm: the maximum number of supported unmanned aerial vehicles is 6
RSRP > -75 dBm: the supported maximum number of unmanned aerial vehicles is 9
When all there are unmanned aerial vehicles in a plurality of circles according to supporting unmanned aerial vehicle quantity 3: 2: and 1, conversion of the ratio, namely, the inner ring 1 is equal to 0.3, the outer ring is equal to 0.5.
Advantageous effects
By the method, the airspace access capability of the flight system of the unmanned aerial vehicle can be mastered in real time, whether the unmanned aerial vehicle can normally fly or not is correctly judged, the safety of flight tasks is guaranteed, and the working efficiency is improved.
For example, after calculation is carried out by the method, the airspace access capacity of the unmanned aerial vehicle flight system is mastered in real time, the number of the unmanned aerial vehicles supported in the airspace range can be drawn in a map, then, after comprehensive judgment, if the number of the unmanned aerial vehicles flying in practice is smaller than the calculated capacity value, the airspace can also support new flying tasks, and if the number of the unmanned aerial vehicles flying in practice reaches or exceeds the calculated capacity value, the airspace can not support the new flying tasks, so that the safety of the flying tasks is ensured, meanwhile, invalid flight with the phenomenon of screen splash due to too many unmanned aerial vehicles and weak signal intensity is avoided, and the working efficiency is improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic diagram of the present application;
fig. 2 is an equivalent model of the number of drones supported by a base station in the present application; the specific parameters are as follows:
RSRP Standard
| RSRP value range (dBm) | Situation of coverage |
| RSRP＜-95 | Outside the coverage area |
| -95≤RSRP＜-85 | Outer ring |
| -85≤RSRP＜-75 | Middle ring |
| RSRP≥-75 | Inner ring |
SINR standard
| SINR value range (dB) | Signal quality |
| SINR＜-3 | Difference of signal |
| -3≤SINR≤12 | Is normal |
| SINR＞12 | High strength |
Detailed Description
RSRP＝P-32.45+20lgf(MHz)+20lgd(km)
P is the wireless pilot signal power of the base station antenna port, f is the used frequency, and d is the distance between the position of the unmanned aerial vehicle and the base station.
The number equivalent model of the unmanned aerial vehicles supported by the base station is as follows:
RSRP < -95: the maximum number of the unmanned aerial vehicles supported is 0
RSRP < -95 ≦ 85 dBm: the maximum number of supported unmanned aerial vehicles is 3
RSRP < -85 ≦ 75 dBm: the maximum number of supported unmanned aerial vehicles is 6
RSRP is more than or equal to-75 dBm: the supported maximum number of unmanned aerial vehicles is 9
When all there are unmanned aerial vehicles in a plurality of circles according to supporting unmanned aerial vehicle quantity 3: 2: and 1, conversion of the ratio, namely, the inner ring 1 is equal to 0.3, the outer ring is equal to 0.5.
Example 1
The farthest unmanned aerial vehicle is 5km away from the base station, the power P of a wireless pilot signal at an antenna port of the base station is 15.2, and the used frequency f is 1430:
1. by the above calculation formula: RSRP ═ P- (32.45+20 gf (mhz)) +20logd (km)) -15.2-32.45-20 × lg (1430) -20 × lg (5) ≈ 94.33
2. And comparing with the model to obtain the signal value RSRP of the unmanned aerial vehicle, wherein the RSRP is-95 < -94.33< -85 dBm: the supported maximum number of unmanned aerial vehicles is 3;
3. suppose that there are 1 unmanned aerial vehicle in the inner circle under the X basic station this moment, and there are 1 unmanned aerial vehicle in the centre circle, and there are 1 unmanned aerial vehicle in the outer lane, and known according to the model that current unmanned aerial vehicle has for 1+1/2+1/3 for 1.833 ≈ 2, can all support 1 still in the outer circle executive task according to the result theory, can support 2 in the centre circle executive task, can support 3 in the inner circle executive task.
Example 2
If the farthest unmanned aerial vehicle is 1km away from the base station, the power P of the wireless pilot signal at the antenna port of the base station is 15.2, and the used frequency f is 1430.
RSRP＝P-(32.45+20logf(MHz)+20logd(km))
＝15.2-32.45-20*lg(1430)-20*lg(1)≈-80.36
And comparing with the model to obtain the signal value RSRP of the unmanned aerial vehicle, wherein the RSRP is-85 < -80.36< -75 dBm: the supported maximum number of unmanned aerial vehicles is 6;
suppose that there are 3 unmanned aerial vehicles in the inner circle under the X basic station at this moment, and there are 1 unmanned aerial vehicle in the centre circle, can know according to the model that current unmanned aerial vehicle has 3 the 2/3+1 become 3, according to the result all can support 3 still in centre circle executive task theoretically, all can support 9/2 framves in the inner circle executive task, get the integer and be 4 framves.
Finally, it should be noted that: it should be understood that the above examples are only for clearly illustrating the present application and are not intended to limit the embodiments. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. And obvious variations or modifications of this type are intended to be covered by the present invention.
Claims (4)
1. A signal strength calculation method is characterized by comprising the following specific steps:
step S1: flight prejudging; performing flight detection before a flight task of the unmanned aerial vehicle, wherein the flight detection comprises the steps of returning parameter data to the base station and the link state, the applied number of the flight areas and the unmanned aerial vehicle; the unmanned aerial vehicle return parameter data refers to RSRP and SINR data;
collecting three condition information of a base station and a link state, the applied number of flight areas, RSRP and SINR returned by the unmanned aerial vehicle in front of the unmanned aerial vehicle to predict flight, judging whether the unmanned aerial vehicle can fly, and executing a task when the three conditions are met;
step S2: detecting base station equipment in real time; detecting base station equipment in real time, displaying an alarm when the equipment fails, and giving a prompt in the system in time;
step S3: real-time airspace information; pre-judging a base station ID accessed by the unmanned aerial vehicle and a distance between the unmanned aerial vehicle and the base station by a planned line of the unmanned aerial vehicle, and calculating a radio signal strength RSRP value of the position of the unmanned aerial vehicle by a free space propagation model formula; meanwhile, the wireless signal strength RSRP and the signal-to-interference-plus-noise ratio SINR returned by other unmanned aerial vehicles in the coverage area of the current base station are obtained, and whether a new unmanned aerial vehicle is allowed to be accessed in the coverage area of the base station is judged according to the calculated RSRP value, the RSRP value returned by the flying unmanned aerial vehicle and the SINR value;
step S4: detecting a link; detecting the whole link state of the slave unmanned aerial vehicle-base station-core network-image network-ground station, timely warning when the link is interrupted, and taking corresponding measures;
step S5: detecting the state of a base station; displaying the position information of the base station and detecting the state of the base station in real time;
step S6: displaying the state of the ground station; and displaying the position of the ground station, and displaying the state information of the ground station, wherein the state information of the ground station comprises online, offline and fault conditions.
2. The computing method according to claim 1, wherein the free space propagation model formula of step S3 is:
P-32.45+20lgf+20lgd，
wherein, P is the wireless pilot signal power of the base station antenna port, the unit is dBm, f is the used frequency, the unit is MHz, d is the distance between the position of the unmanned aerial vehicle and the base station, and the unit is km.
3. A spatial domain signal analysis system to which the signal intensity calculation method according to claim 1 is applied, characterized in that: the system carries out parameter analysis by collecting log data of the unmanned aerial vehicle, establishes an algorithm model and calculates the signal intensity of a position point; the algorithm models are RSRP parameter analysis models and SINR parameter analysis models.
4. The spatial domain signal analysis system of claim 3, wherein: the RSRP and SINR parameter analysis model is specifically as follows:
when the RSRP is more than or equal to A, SINR and more than or equal to a, M unmanned aerial vehicles can be accessed; wherein the value range of A is more than or equal to-40 and more than or equal to-110, and the value range of a is more than or equal to 30 and more than or equal to-3; the RSRP is more than or equal to a set value A, the value A is set according to actual conditions and is taken within a certain range, the SINR is more than or equal to a set data a, the data a is set according to the actual conditions and can be taken within a certain range, at the moment, it is set that M unmanned aerial vehicles can be supported to fly simultaneously under a base station X, tasks are executed, the number of M unmanned aerial vehicles cannot be exceeded, and otherwise, the phenomena of out of control and screen splash can occur;
when the C is larger than RSRP and larger than D, C and the SINR is larger than d, the N unmanned aerial vehicles can be accessed; wherein the value range of C is-40 is more than or equal to C and more than or equal to-110, the value range of D is-40 is more than or equal to D and more than or equal to-110, C is more than or equal to D, the value range of C is more than or equal to 30 and more than or equal to C and more than or equal to-3, the value range of D is more than or equal to 30 and more than or equal to D and more than or equal to-3, and C is more than or equal to D; when RSRP is within a certain interval scope, this scope is set for according to actual conditions, can set for the range interval, and SINR more than or equal to certain settlement data c, data c sets for according to actual conditions, can set for the range interval, can support N unmanned aerial vehicle flight simultaneously under setting for basic station X this moment, and the executive task can not exceed N framves, otherwise can appear out of control, the phenomenon of flower screen.
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