How many lumens is the sun

For the mid-range measurement, it should be approximately lumens per square foot. The result is the illuminance due to the Sun at the Earth, and equals , lux. From that result, and knowing the distance between the Earth and the Sun , we can immediately find the luminous flux of the Sun , lumens. Dividing by gives the luminous intensity of the Sun , candelas.

A light one billion times brighter than the surface of the Sun has now been created in a lab, making it the brightest light ever produced on Earth. The record-breaking laser beam has revealed new properties of light , and it could be used in medical equipment or to create more powerful computer chips.

Asked by: Xiaoxue Rockoff automotive motorcycles How many lumens is the sun on earth? Last Updated: 12th April, Earth receives around , lumens per square metre from the Sun , noting that this square metre has the Sun directly overhead.

This is called luminous efficacy, the lighting efficiency of the Sun per watt of power. Arancha Chihab Professional. How many lumens is really bright? The brightness, or lumen levels, of the lights in your home may vary widely, so here's a rule of thumb: To replace a watt W incandescent bulb, look for a bulb that gives you about lumens. If you want something dimmer, go for less lumens ; if you prefer brighter light, look for more lumens. Bertha Scheuchenstuhl Professional.

How many lumens do police flashlights have? Brightness is typically indicated in lumens , a measure of the total output of a light source. A classic Mini Maglite flashlight peaks at around 15 lumens. A typical LED headlamp puts out roughly 50 to lumens. Candelo Biederlack Professional. How bright is lumens? How bright is a lumens? One lumen is about the same brightness as a one birthday candle from a distance of one foot from you.

To put it another way, a standard 60 watt light globe produces around lumens of light. Zineb Zschunke Explainer. What color is the sun? We also had to tune our algorithms to focus on the object of interest in each image, like an insulator, rather than consider the entire image.

We used machine learning algorithms running on an artificial neural network for most of these adjustments. Today, our AI algorithms can recognize damage or faults involving insulators, connectors, dampers, poles, cross-arms, and other structures, and highlight the problem areas for in-person maintenance. For instance, it can detect what we call flashed-over insulators—damage due to overheating caused by excessive electrical discharge.

It can also spot the fraying of conductors something also caused by overheated lines , corroded connectors, damage to wooden poles and crossarms, and many more issues. Developing algorithms for analyzing power system equipment required determining what exactly damaged components look like from a variety of angles under disparate lighting conditions. Here, the software flags problems with equipment used to reduce vibration caused by winds.

But one of the most important issues, especially in California, is for our AI to recognize where and when vegetation is growing too close to high-voltage power lines, particularly in combination with faulty components, a dangerous combination in fire country. Today, our system can go through tens of thousands of images and spot issues in a matter of hours and days, compared with months for manual analysis. This is a huge help for utilities trying to maintain the power infrastructure.

But AI isn't just good for analyzing images. AI already does that to predict weather conditions , the growth of companies , and the likelihood of onset of diseases , to name just a few examples.

We believe that AI will be able to provide similar predictive tools for power utilities, anticipating faults, and flagging areas where these faults could potentially cause wildfires. We are developing a system to do so in cooperation with industry and utility partners. We are using historical data from power line inspections combined with historical weather conditions for the relevant region and feeding it to our machine learning systems.

We are asking our machine learning systems to find patterns relating to broken or damaged components, healthy components, and overgrown vegetation around lines, along with the weather conditions related to all of these, and to use the patterns to predict the future health of the power line or electrical components and vegetation growth around them.

Buzz Solutions' PowerAI software analyzes images of the power infrastructure to spot current problems and predict future ones. Right now, our algorithms can predict six months into the future that, for example, there is a likelihood of five insulators getting damaged in a specific area, along with a high likelihood of vegetation overgrowth near the line at that time, that combined create a fire risk.

We are now using this predictive fault detection system in pilot programs with several major utilities—one in New York, one in the New England region, and one in Canada. Since we began our pilots in December of , we have analyzed about 3, electrical towers. We detected, among some 19, healthy electrical components, 5, faulty ones that could have led to power outages or sparking. We do not have data on repairs or replacements made. Where do we go from here?

To move beyond these pilots and deploy predictive AI more widely, we will need a huge amount of data, collected over time and across various geographies. This requires working with multiple power companies, collaborating with their inspection, maintenance, and vegetation management teams. Major power utilities in the United States have the budgets and the resources to collect data at such a massive scale with drone and aviation-based inspection programs.

But smaller utilities are also becoming able to collect more data as the cost of drones drops. Making tools like ours broadly useful will require collaboration between the big and the small utilities, as well as the drone and sensor technology providers. Fast forward to October It's not hard to imagine the western U. S facing another hot, dry, and extremely dangerous fire season, during which a small spark could lead to a giant disaster.

People who live in fire country are taking care to avoid any activity that could start a fire. But these days, they are far less worried about the risks from their electric grid, because, months ago, utility workers came through, repairing and replacing faulty insulators, transformers, and other electrical components and trimming back trees, even those that had yet to reach power lines.

Some asked the workers why all the activity. Explore by topic. The Magazine The Institute. IEEE Spectrum. Our articles, podcasts, and infographics inform our readers about developments in technology, engineering, and science.

Join IEEE. A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. Enjoy more free content and benefits by creating an account Create an account to access more content and features on IEEE Spectrum, including the ability to save articles to read later , download Spectrum Collections , and participate in conversations with readers and editors.

When people ask the question, "How many Lumens is the Sun? The underlying question may just be out of general curiosity, but usually we are trying to build some sort of intuitive understanding of how much light a lumen represents. We are bombarded with specifications for headlamps, flashlights, indoor lighting, outdoor lighting, LED lights, grow lights, incandescent, fluorescent, halogen, and the list goes on and on.

We all have lots of experience with the sun and how bright it is under a variety of different circumstances. We are trying to relate our experiences to all these marketing specifications.

It can be very confusing. I'll try to clarify a number of these underlying questions by reformulating the original question a number of different ways and then provide answers to these new, and hopefully more helpful questions.

Another way to ask this, and the question we'll answer first is, "What is the total amount of visible light that is produced by the sun? The sun produces a broad spectrum of electromagnetic energy. All the way from radio, microwave, infrared, visible, ultraviolet, x-ray, gamma, and cosmic rays.

But the quantity of the lumen is only concerned with the narrow band of visible light. Using data derived from ground-based solar telescopes, space shuttle missions, satellites, sounding rockets, high-altitude aircraft, and computer models, scientists and engineers in the space and solar energy communities have standardized on a value for average spectral irradiance for earth.

This quantity, also known as the solar constant, is