How did drones become popular in 2018 and what trends in drone development are worth paying attention to? Like the Internet and GPS technology, drones are gradually surpassing their military applications and become a powerful commercial tool, and they have achieved a leap to the consumer market, with mature technologies from commercial to civilian use, such as firefighting and agriculture. .
2017 witnessed the rise of drones and drone technology in all walks of life. According to Google, the keyword "drone" reached its search peak in December 2016 and maintained a high level in 2017.
Due to the low entry cost and small size, drones continue to attract people in various technical fields to invest in research.
Unmanned aerial vehicle, unmanned aerial vehicle (UAV), including quadcopter, multi-rotor or unmanned aerial system (UAS). It has been more than 100 years since its inception, but recent breakthroughs in hardware, software, and data processing have enabled UAVs to become the mainstream of commercial use. In the United States alone, the Federal Aviation Administration (FAA) predicts that the commercial drone fleet will grow 10 times from 42,000 to 420,000 between 2016 and 2021. European authorities expect similar growth. Behind all these growth, there is a huge market.
Investment bank Goldman Sachs (Goldman Sachs) predicts that by 2020, the global drone market will be worth 100 billion U.S. dollars. Most of the growth will come from growing demand from the business and government sectors. The Goldman Sachs report added that the full economic potential of drone technology "is likely to be many times that number, because the chain reaction in the drone field will affect the entire economy.
What developments in drone technology and its applications can be foreseen in 2018 and beyond? Consider the following example:
01The drone hardware will continue to improveUAVs need sufficient power sources. Better batteries-improved energy management can extend dead time. Efficient power system allows for larger payloads. Researchers are working hard to meet these needs by exploring a series of innovative technologies. The following new technologies are expected in the future:
â‘ The solar panel charges the battery during the flight;
â‘¡Hydrogen fuel cell that allows longer flight time and heavier load;
â‘¢Laser for wireless power transmission;
â‘£The performance of nanotube and aerogel batteries far exceeds the current lithium-ion polymer batteries.
The combination of new materials such as carbon fiber-reinforced polymers with advanced manufacturing technologies (such as fused deposition modeling and laser sintering) will make drones lighter, cheaper, and possibly easier to manufacture. Advanced materials include biodegradable biological drones made from mycelial cells, similar to the materials used by bees to build nests. Other researchers are using "Chemputers" to "grow" drones from chemicals.
UAV manufacturers have been working hard to improve various UAV sensors. These include visual cameras, infrared detectors, multispectral and hyperspectral sensors, light detection and ranging (LiDAR), inertial measurement units such as gyroscopes and accelerometers, and sensors that measure current, magnetic field, and sound pressure. These sensors can provide high-resolution data in all spectral bands, especially infrared spectroscopy, and can provide more accurate information than airplanes or satellites. Smaller, lighter, faster, cheaper, more reliable, more accurate, and more sensitive sensors will be interviewed and produced this year.
02 drones will embrace big dataUAV manufacturers are working hard to develop automatic obstacle avoidance systems that process UAV sensor data to avoid collisions or allow automatic take-off and landing. This technology is currently used in a small number of devices and is constantly improving. Boston-based American Robotics and other companies have developed fully automated drone systems that can perform well-defined tasks repeatedly and reliably without pilot intervention.
The combination of smarter drone sensors with machine learning and artificial intelligence enables companies to apply predictive analytics to many business problems. For example, researchers at Purdue University in the United States have successfully combined drones and deep learning technology to detect cracks in the steel components of nuclear power plants. The system automatically recognizes cracks based on the constantly changing texture around the steel surface and informs technicians of potential threats. The processing takes about one minute. This not only saves technicians' time, but also distributes work more efficiently and reduces unknown risks. The US drone manufacturer and service provider (Kespry) has targeted the inspection and insurance market by building a machine learning system that can calculate roof hail attacks.
By combining drone technology with machine learning, the photos, real-time videos, thermal imaging or orthographic aerial images and radiation measurement data collected by drones can be automatically completed. Building and infrastructure managers can now identify quality defects, malfunctions, or design flaws faster and at a lower cost. Automated drones are also used to inspect power plants and transmission lines, and provide real-time analysis of the status of the infrastructure. Farmers are using similar technology to automatically count crops, identify weeds, and determine when crops need water and fertilizer. There are countless other applications for automated drones.
03 More organizations will use dronesMore and more companies and government organizations are realizing that drones can help them operate more efficiently. The BCG report "Drones Entering Work" predicts, "In the next two decades, companies will use industrial drones in work monitoring facilities, track cargo transportation, and may even deliver bulk cargo to your doorstep." By 2050 In 2015, the industrial drone fleet in Europe and the United States will exceed 1 million units, generating US$50 billion in product and service revenue each year.
Goldman Sachs predicts that between 2016 and 2020, companies and governments around the world will invest $13 billion in the drone industry. A recent report from the news magazine The Economist stated that most drone companies initially provide drone customization services. For example, in Australia, NaTIonal Drones, a well-known drone service provider, provides tailor-made drone solutions for various industries, including construction and solar panel inspection, insurance assessment, agricultural land monitoring, television and media, and mining , Mapping and surveying, asset inspection, emergency services, real estate, etc. Outsourcing work to drone service providers enables companies and government departments to focus on their core business and significantly adds value to the company.
In the United States, NASA is raising billions of dollars in funding to develop Unmanned Aerial Vehicle Traffic Management (UTM), an automatic UAV traffic management system that can safely coordinate manned and unmanned flights. The Federal Aviation Administration (FAA) is currently testing an automated system that will eventually provide near real-time processing of airspace authorization requests for drone operators across the country. Starting in April 2018, the Low Altitude Authorization and Notification Capability (LAANC) will be gradually deployed in nearly 300 air traffic facilities covering approximately 500 airports. The system is expected to significantly reduce the waiting time for drone flight authorizations and allow operators to quickly plan their flights. Air traffic controllers can also see where the planned drone operations will take place.
In October 2017, the Australian Civil Aviation Safety Authority (CASA) responded to the safety issues of drones and the rapid increase in the number of drones by strengthening the safety rules for entertainment users. Earlier in 2017, the free CASA smartphone app "Can I Fly There?" allowed drone operators to avoid restricted areas, and was downloaded 20,000 times a week.
Drone missions-current and futurecurrent:
UAV flight is usually a line-of-sight task carried out under the control of a certified operator. The flight path and altitude limit are restricted by government legislation and current insurance provisions. Usually the flight lasts less than an hour, and one or two sensors collect several gigabytes of data. The data is stored on the aircraft and retrieved and processed after the flight.
future:
The drone will use detection and barrier technology for highly autonomous missions. The UAV Traffic Control Center will identify and track UAVs in critical airspace. Due to improvements in legislation and insurance, flights will become more popular. Multiple onboard sensors will transmit data in real time via the 4G/5G cellular network. Operator control centers that apply machine learning and artificial intelligence will use these data to automatically modify drone missions and drive a large number of commercial applications.
UAV applicationmining. Drones will be used in conjunction with Internet of Things (IoT) sensors to digitally manage mine operations. UAVs can provide data on trucks, ore, and supply flows inside and outside the mining site to optimize daily operations, and can also provide data to help mine pit design.
agriculture. Currently drones can be used for land surveys and other data collection applications. In the future, they may be used to support precision agriculture, which relies on data on different parts of the field to manage irrigation and pesticide spraying more accurately. The goal is to increase crop yields while reducing the use of expensive inputs.
Energy and utilities. UAVs can be used to automatically inspect offshore drilling platforms and refineries, reduce risks and implement preventive maintenance, and avoid costly interruptions caused by equipment failures. For utility companies, drones can not only be better and more timely monitoring of transmission lines and solar fields, but also can be used to reduce the occurrence of theft.
Insurance. UAVs can be dispatched to record digital videos of damaged houses and buildings after the storm, and cars at the crash site. These features can reduce claims processing costs, accelerate customer service, and generate additional underwriting data. By combining drones with machine learning, insurance companies will be able to improve the prediction of damage. By assessing risks better than ever, insurance companies will be able to set premiums more accurately.
law enforcement. Drones can be used to monitor traffic accidents, capture crime scene photos, search for missing objects and people, track suspicious persons or vehicles, monitor crowds during protests and sporting events, replace or supplement security, support border security, perform maritime surveillance, and many more Other tasks.
meteorological. UAVs can provide high-precision weather data in a short period of time and on a local scale. The combination of drone and satellite data can help produce more accurate weather forecasts.
Communication. In the future, drones will be used to broadcast telecommunications signals, such as radio, television and the Internet, whether for permanent or temporary missions. For example, drones can form portable mobile cellular sites to provide temporary wireless network coverage for locations where cellular data coverage is small or damaged, such as during major public events or natural disasters.
defense. With the intensification of global competition and the continuous improvement of technology, in the foreseeable future, defense will remain the largest market (estimated at $70 billion). At present, more than 30 countries have or are developing armed drones for military purposes
A new rule from the Drug Enforcement Administration (DEA) threatens to upend the American hemp industry, and could even result in criminal prosecutions for manufacturers of CBD and delta-8 THC products.
The DEA says the [interim final rule," issued Aug. 20, is simply a matter of adjusting its own regulations to account for changes to the Controlled Substances Act that were mandated by the 2018 Farm Bill (or Agricultural Improvement Act) that legalized hemp and CBD production. The new rule [merely conforms DEA`s regulations to the statutory amendments to the CSA that have already taken effect," says the agency. The new rule doesn`t break any ground, according to the DEA.
But many experts on cannabis and hemp law say the DEA rule creates a potential pathway the law enforcement agency could use to prosecute hemp processors and producers of CBD (cannabidiol) and delta-8 THC (or Δ8THC) products. There are two issues: partially processed CBD, and [synthetically derived" delta-8 THC.
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