The hottest industrial UAV may not have monopolist

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Industrial UAVs may not have monopolists now and in the future.

] since last year's Red Sea, faced with the consumer market, entrepreneurs don't even bother to think about it. Then, observing the financing situation of UAVs in the world in recent years, we will find that the financing in the field of UAVs reached its peak in 2015. At the same time, since 2015, the financing of unmanned aerial vehicles has begun to decline like a cliff

will you want to be a consumer UAV market in the future

no, unless Dajiang quit

since the Red Sea last year, facing the consumer UAV market, entrepreneurs don't even bother to think about it. Then, observing the financing situation of UAVs in the world in recent years, we will find that the financing in the field of UAVs reached its peak in 2015. At the same time, since 2015, the financing of unmanned aerial vehicles has begun to decline like a cliff

industrial UAVs may not have monopolists now and in the future.

we have been thinking about how to make the cake bigger for a long time. With the upgrading of products and the conversion of markets, entrepreneurs naturally transition from a cluster of consumer grade UAVs to deep ploughing industrial grade UAVs. Walking in front of the industrial UAV, everyone suddenly woke up. It turned out that this was the blue ocean. In the past oneortwo years, Beidou + maker space has landed in Xi'an, Kai Fu Li has invested in fin source technology underwater UAV, Haier has invested in GDU universal UAV, and Liuzhi action has provided 200000 subsidies (free of charge, not holding shares) to support Kunpeng Zhihui UAV. How can UAVs navigate in this new blue sea

people who are still considering reducing costs are wrong.

people who make industrial UAVs must not be afraid to spend money first. Do you know the essential difference between industrial UAV and consumer UAV

the most important thing for consumer UAVs is whether users are happy, while the focus of industrial UAVs is how to improve the work efficiency of enterprises and units. Therefore, if we put the same question, which one should be put in front of product development in the field of UAV, excellent technology and portable experience? Ask employees in two different UAV markets respectively, and we will get two completely different answers. Although both are important, industrial UAVs will definitely put excellent technology in the first place. As long as the technology is in place, the cost is secondary. This is completely determined by the work task of industrial UAV and the user nature behind it

since the cost of industrial UAVs cannot be reduced, why not customize products according to users' needs? Now all walks of life are paying attention to the idea of customization, but in fact, not all walks of life can be in harmony with customized genes. So, back to the industrial UAV industry, how can we truly customize it? After visiting several UAV enterprises, Yang Suying, an intelligent relativity industry analyst, found that these three things are the most critical

to do this porcelain work, you must first have a diamond

almost all industrial scenes have very high requirements for obstacle avoidance function and environmental perception ability of UAVs. Taking power patrol inspection as an example, drones are required to effectively avoid tower lines, while security requires drones to have accurate identification and tracking capabilities, and process the collected data. Therefore, there are barriers to enter the field of industrial UAVs. Faced with such stringent technical requirements, there are not many technical teams in China that can meet the requirements. However, if a team with previous relevant working background enters the market to start a business, it can show its advantages, such as zero intelligence control established by Yang Jianjun, who has been engaged in aerospace vehicle research, Kunpeng Zhihui, an unmanned aerial vehicle company with research background from the National University of defense technology, and COBIT Aviation founded by Lu Zhihui, a former innovation of Vocational University. Their technology often has a high degree of maturity, It also has many core advantages in the field of unmanned aerial vehicles and has obtained many patents. For example, CorBit has been focusing on the accuracy of zero intelligence for many years, and the stability increasing accuracy is as high as 0.02. Kunpeng Zhihui has core advantages in the application of plateau environment, including grade 7 wind resistance and 4500 meter takeoff altitude, which is currently in the leading position in China

full coverage of high, medium and low product lines is absolutely necessary.

usually what we call customization is actually equivalent to saying that this company is an all-round company. Because different users have different needs, different needs correspond to products with different positioning. Therefore, if the industrial UAV wants to be customized, it must first fully cover the high, medium and low-end products involved in the industrial market. A complete product line is a necessary condition to meet the customization needs of users. The Civil Aviation Administration regulations stipulate that UAVs with a takeoff weight of less than 7kg and including 7kg do not need a flight license, so a complete product line must include UAVs with a takeoff weight of less than 7kg and more than 7kg. At present, there are two industrial grade zero degree intelligent control machines, zt-3v and zt-30v accounting for 29% of the global market share; The Asia Pacific region is the third largest market in the world, with takeoff weights of 8.1kg and 22kg respectively, both above 7kg; At present, Kunpeng Zhihui has about four types of industrial UAVs. The takeoff weights of kp-07, kp-15, kp-25 and kp-50 are 7kg, 14kg, 24kg and 28KG respectively, covering UAVs of high, medium and low-end levels

in the face of pain points, don't look for them, but create

in addition, the current focus of restricting the large-scale application of industrial UAVs is still that the pain points that have been found are not enough pain, said relevant practitioners in this industry. Non rigid demand is now a difficult problem for industrial UAVs to get out of the door. However, demand is never found in the present, but created. Just like touch screen, it was not just needed once, but now almost all of them exist in the form of touch screen. Therefore, in a specific application scenario, we now need to create the most painful pain point. Only with such a pain point, this scenario will use non customized UAVs

back to the industrial UAV product itself, the current market evaluation of it is still different. The difficulty of industrial operation puts forward higher requirements for the performance of UAV itself. And with the increasing voice of intelligence, unmanned aerial vehicles also began to assume the important task of intelligent operation

ai can be used in industrial UAV, that is, rotating the small screw on the eccentric wheel and moving the slider can run

ai is never just icing on the cake. As mentioned earlier, the focus of industrial UAV is to improve the work efficiency of enterprises and units. As the most promising labor-saving lever at present, AI has gradually become the rigid demand of mankind. Therefore, if AI can be combined with UAV, it will naturally have great prospects. At the beginning of 2017, neurala, a deep learning company in Boston, USA, has received a round a financing of US $14million, focusing on drone AI. In addition, in June 2017, Gebo intelligence successfully obtained the a-round financing of GGV lead investment, and completed a $5million a+ round six months later

but whether AI, as an additional function, should be integrated into the UAV system will affect some important UAV indicators is indeed a common concern. Take the endurance ability as an example. Compared with the UAV with multiple rotors and fixed wings, due to their different dynamic principles, generally speaking, the UAV with fixed wings can have a longer endurance time. Relevant practitioners explained that the fixed wing UAV only needs to consume one tenth of the energy required by the multi rotor UAV. However, since various functional devices are often added to UAVs, this proportion will change to about one fifth. This fully shows that the addition of UAV functions is bound to affect its endurance. Therefore, Yang Suying, an industry analyst of intelligent relativity, reminded that we should at least pay attention to these problems in the process of AI of UAVs

ai consumes a lot of energy, and whether it can develop its own battery technology becomes the key.

the AI of UAV brings problems in endurance. However, many UAV companies are constrained by the technology of upstream battery suppliers, and it is difficult to fundamentally improve the endurance of UAV. Therefore, if UAV producers want to become stronger in the future, it is best to start self-sufficiency in batteries. With regard to batteries, we are now considering cooperating with aerospace Yuanwang technology company to jointly develop the first unmanned aerial vehicle plus unmanned ship combined system in Hunan, which will involve wireless charging technology. Relevant technical experts responded in the interview. All kinds of disadvantages of battery and wired charging technology have emerged. In fact, both UAVs and unmanned aerial vehicles need to seek more convenient and efficient means of endurance

how light weight should be in the end is a problem

first of all, technicians need to make AI programs lightweight, which is a key point of using AI technology on UAVs. Secondly, we should find a simpler terminal operation device for the UAV, for example, and take the applet as the operation entry of the UAV to get rid of the current complex operation terminal. Because for some special groups, such as farmers, or some middle-aged people, the operation of UAV is relatively complex at present. If we continue to add AI technology, will the operation process be more complicated? Therefore, simplifying the operation terminal is also a problem that should be considered

stop following the trend and find your landing scene.

after a round of reshuffle of aerial scenes, industrial UAVs must now learn the lessons of following the trend and take more trouble in finding their landing scene. At present, surveying and mapping, oil, transportation, forestry, water conservancy and other scenes are all places to show their strength. At the same time, we need to note that AI is also a technology that relies heavily on scenarios. If you don't find the right application scenario, it will often appear very weak. At present, some companies have successfully grafted AI technology onto UAVs. For example, zero intelligent control uses intelligent chips to increase airborne computing capacity, which can more accurately follow the target, and Kunpeng Zhihui uses image enhancement technology based on machine learning, which solves many problems for UAVs in harsh environments, such as dense fog and night shooting

opportunities for private enterprises: wait for Godot's era

looking at the world, Dajiang has about 70% of the consumer market, and is already an unshakable industry leader. But on the road of worker class UAV, there will be no monopolists for the time being. Why

the current consumer grade and industrial grade racing tracks

open source flight control system once made Chinese UAVs rise rapidly, but in the past few years, the overall progress of the UAV industry is not great. The lowering of the threshold led later entrepreneurs to basically choose consumer grade UAVs with low production performance requirements. But now a new round of industrial UAV competition has begun. No matter the required resources, technology or funds, they are not at the same level as the former. Therefore, at present, both of them are running on their own tracks, although some overlap

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