Seismic wave excitation system and method for launching seismic source body based on unmanned aerial vehicle group

Abstract

The invention discloses a seismic wave excitation system and method for launching a seismic source body based on unmanned aerial vehicle group, and the system comprises a plurality of unmanned aerial vehicle group launching units, each unmanned aerial vehicle group launching unit comprises a carrying frame, a launcher fixed below the carrying frame, and a plurality of rotor unmanned aerial vehicles arranged above the carrying frame, and the rotor unmanned aerial vehicles are connected with the carrying frame through universal joints; the system further comprises a central control unit which is used for planning the take-off and landing time and path of each unmanned aerial vehicle group launching unit, controlling each unmanned aerial vehicle group launching unit to operate independently and without interference, and launching the seismic source body to each predetermined excitation point coordinate of the target area to excite seismic waves, and the time of launching the seismic source body to each predetermined excitation point coordinate is different. The system has the advantages of being large in load capacity, high in take-off and landing speed, high in efficiency of working under complex surface conditions, strong in excitation energy, deep in detection depth, capable of meeting professional technical requirements of quick vertical take-off and landing for launching the seismic source to obtain seismic record data in seismic exploration, high in space sampling density and large in obtained data volume.

Description

technical field [0001] The invention relates to the technical field of seismic exploration, and in particular to a seismic wave excitation system and method based on an unmanned aerial vehicle crew launching a seismic source body. Background technique [0002] Restricted by geological and geographical conditions and social factors, it is difficult to carry out detection work in many important seismic exploration research areas. For example: the existing explosive source is controlled, the source vehicle is greatly restricted by terrain factors, and the artificial hammering of the source has low energy and low efficiency. With the development of artificial seismic exploration technology, the UAV source excitation system has appeared. The UAV is controlled by the ground station to automatically navigate to the coordinate position of the predetermined excitation point, and the source body is dropped. The source body hits the ground at high speed to excite seismic waves. In comp...

AI Technical Summary

Problems solved by technology

[0003] Seismic exploration work is carried out based on the source delivery system of the multi-rotor UAV. The source delivery requires the UAV to take off and land quickly and has a large load capacity. Although the existing low-altitude multi-rotor UAVs can realize functions such as autonomous flight and fixed-point take-off and landing, However, due to the performance limitations of the UAV itself and the status quo of technological development, the takeoff and landing speed of the existing UAV is low, the weather resistance is poor, and the load capacity of a single UAV is limited, and the efficiency of working in complex surface conditions is low. The energy is weak and the detection depth is shallow. It is difficult to meet the professional technical requirements for rapid vertical take-off and landing of seismic sources in seismic exploration to obtain seismic record data, and it is impossible to achieve the best exploration effect.

At present, in order to increase the load weight of multi-rotor drones, it is generally achieved by increasing the power of the motor and the size of the wings, but in this case, the weight and volume of the drone itself will also be increased, and the flexibility will become poor. , cannot meet the actual demand

In addition, due to the limitation of detection cost and external environmental factors, the current spatial sampling density of seismic detection is low, and the amount of data obtained is small

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