Millimeter wave radar UAV obstacle avoidance module oil depot radar induction module

      2022-10-22 929

      With the rapid growth of UAV market in agriculture, electricity, industry and other industries, automatic obstacle avoidance has always been a difficult problem. Accurate millimeter wave radar UAV obstacle avoidance module system can greatly reduce the damage of UAV caused by human error, line of sight problem, personal accident and construction accident.

      Millimeter wave radar UAV obstacle avoidance module oil depot radar induction module

      For the urgent demand of the market, a real-time detection dual-beam millimeter wave obstacle avoidance radar module is carefully built for the UAV. It is suitable for all-weather, all-weather, all-terrain UAV independent flight and automatic obstacle avoidance in the process of fixed-point cruise. It can support up to 50 targets for range, speed and Angle. Millimeter wave radar UAV obstacle avoidance module is a low-cost and high-precision millimeter wave obstacle avoidance radar, which has the characteristics of small size, light weight and low power consumption. It is suitable for agriculture, electric power, industry, small airship and other fields.


      Why choose millimeter Wave Obstacle avoidance radar module?

      ? Detecting distance: detecting distance is more than 50 meters, high voltage line stability can reach 40 meters;

      ? High detection accuracy: Compared with microwave radar and radar ranging, the resolution is increased by 3 times, and the ability of identifying obstacles is stronger.

      ? Dual beam working at the same time, safer: wide Angle coverage in short-range mode, long detection range in medium-range mode;

      ? Pitch Angle in middle range mode is 15.6°, which can reduce clutter interference in roll attitude of UAV.

      ? Anti-interference ability: it is not affected by light, weather, environmental noise and electromagnetic interference of UAV;

      ? Smaller size: MMwave radar UAV obstacle avoidance module has small size and wide applicability;


      In order to ensure the production safety of oil depots and gas stations, various industries are constantly increasing the investment in fire control, safety inspection and safety system construction. The safety system is constantly upgraded, and various new technologies and products are constantly applied in the safety system of oil depots and gas stations.


      Oil depot and gas station produce and sell inflammable and explosive products, which belong to Class A fire danger and are in high pressure operation state, line state, easy to cause safety accidents. Therefore, safety is the top priority of oil depot management. The application environment has a large area, large metal obstacles in the field, and complex surrounding conditions. Intrusion threats include vehicles and pedestrians. No matter how powerful a single security technology is, it is limited by its expertise. Through the integration of multiple sensors, possible intrusion threats can be detected in a multi-level and three-dimensional way, providing intelligent, real-time and active security technology means for oil depots.

      Radar sensing Module It is an integrated radar area warning system. The radar detects and warns when the target enters the defensive area. At the same time, through the distance, Angle and speed of the target to judge the accurate position of the target video to review the target, judge whether it is an alarm target. The product integrates the radar sensor module with the visual signal level, integrating the active detection, high sensitivity and video visibility of radar technology, and greatly improving the detection rate in complex environment.


      Radar induction module scheme features:

      Intelligence: The use of intelligent algorithms, can actively learn, has the ability to independently distinguish the target and environment adaptation, the system can access a variety of customized platforms;

      3D: Using video, radar and other technologies, a 3D protection system is constructed, which can identify various moving targets of 100 meters.

      Active: actively transmit electromagnetic beam 8 times per second, receive target reflection echo for detection, and obtain target direction, distance and other information. At the same time, the target can be tracked by visual observation in real time, and the suspicious target can be determined to alarm actively.

      Multi-target: supports simultaneous detection and tracking of 32 targets, and the radar supports synchronous output of more than 10 targets, giving the most accurate detection results in a short time.

      System software: simple operation, defense area setting, police area real-time view, recording playback function;

      Openness: The open structure can be flexibly extended to multilevel networking mode, providing friendly alarm query statistics, alarm display, alarm content, solution and other functions.


      Key technologies of radar induction module scheme:


      Compared with the traditional single array radar, the transmitting function of digital multi-beam radar is much less than that of single array radar. In other words, for the same transmit power, the furthest target distance that the radar system can detect is greater than that of the single array radar. It can effectively increase the radar monitoring range, accurately measure the target Angle, increase the radar action range, and effectively realize target tracking. Compared with analog multi-beam, digital beam has the technical advantages of low cost and easy implementation of any beam.


      One of the reasons that radar has outstanding advantages in the security field is that radar sensing module has excellent dynamic target detection ability and is not afraid of any camouflage. Meanwhile, the problem is that swaying trees and grass are also detected by radar, collectively known as virtual warning targets. In order to better distinguish different categories of targets from virtual warning targets, SVM and convolutional neural network (CNN) are introduced. The radar sensing module algorithm collects a large amount of data to train the algorithm model and achieves good classification results in practical applications. Can effectively distinguish between people, cars, trees and other targets.


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