CN113060302A - Signal intensity calculation method and application system thereof - Google Patents

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

Signal intensity calculation method and application system thereof

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 a flight mission of an unmanned aerial vehicle for police and aviation.

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 situations 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 utilizing the airspace signal analysis system, prejudgment before flight, detection in flight can be achieved, 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 a flight task of the unmanned aerial vehicle, wherein the flight detection comprises data such as base station and link states, applied quantity 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;

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; 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 slave unmanned aerial vehicle-base station-core network-image 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-40 ≥ A ≥ 110, and the value range of a is 30 ≥ a ≥ 3); the RSRP is more than or equal to a certain set value A (the value is set according to the actual condition and can be 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 can be taken within a certain range), and at the moment, the situation that the base station X can support M to drive the unmanned aerial vehicle to fly simultaneously, execute a task and cannot exceed M to drive the unmanned aerial vehicle, otherwise, the phenomena of runaway, 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); that is, when the RSRP is within a certain interval range (the range is set according to actual conditions and a range interval can be defined), the SINR is greater than or equal to certain set data c (the range is set according to actual conditions and a range interval can be defined), and at this time, it can be set that the base station X can support N to drive the unmanned aerial vehicle to fly simultaneously, execute a task, and cannot exceed N to drive, otherwise, phenomena such as runaway and screen splash can occur.

The unmanned aerial vehicle quantity equivalent model that basic station supported in this application: ' Qiyi

RSRP is less than or equal to-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

RSRP is not less than 85 and not more than 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 is less than or equal to-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

RSRP is not less than 85 and not more than 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.

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 RSRP of the unmanned aerial vehicle, wherein the RSRP is more than or equal to-95 and less than or equal to-94.33 and less than or equal to-85 dBm: the supported maximum number of unmanned aerial vehicles is 3;

3. supposing that 1 unmanned aerial vehicle is arranged at the lower inner ring of the X base station, 1 unmanned aerial vehicle is arranged at the middle ring, 1 unmanned aerial vehicle is arranged at the outer ring, and the existing unmanned aerial vehicle can be known to be 1+1/2+1/3 as 1.833 approximately equal to 2 according to a model, and theoretically can support 1 driving at the outer ring, 2 driving at the middle ring and 3 driving at the inner ring according to results.

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 RSRP of the unmanned aerial vehicle, wherein the RSRP is more than or equal to-85 and less than or equal to-80.36 and less than or equal to-75 dBm: the supported maximum number of unmanned aerial vehicles is 6;

supposing that 3 unmanned aerial vehicles are arranged in the inner ring below the X base station, 1 unmanned aerial vehicle is arranged in the middle ring, the existing unmanned aerial vehicles can be known to have 3 × 2/3+1 × 3 according to the model, the task can be executed in the middle ring theoretically according to the result, 3 unmanned aerial vehicles can also support 9/2 unmanned aerial vehicles can also support the task in the inner ring, and the integer is 4.

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 data such as base station and link states, applied quantity 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;

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; 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 slave unmanned aerial vehicle-base station-core network-image 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; 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 self-space propagation model formula in 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 according to claim 1, 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-40 ≥ A ≥ 110, and the value range of a is 30 ≥ a ≥ 3); the RSRP is more than or equal to a certain set value A (the value is set according to the actual condition and can be 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 can be taken within a certain range), and at the moment, the situation that the base station X can support M to drive the unmanned aerial vehicle to fly simultaneously, execute a task and cannot exceed M to drive the unmanned aerial vehicle, otherwise, the phenomena of runaway, 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); that is, when the RSRP is within a certain interval range (the range is set according to actual conditions and a range interval can be defined), the SINR is greater than or equal to certain set data c (the range is set according to actual conditions and a range interval can be defined), and at this time, it can be set that the base station X can support N to drive the unmanned aerial vehicle to fly simultaneously, execute a task, and cannot exceed N to drive, otherwise, phenomena such as runaway and screen splash can occur.

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