requestId:685d5492a89997.31210840.
After AlphaGo defeated the challenge of the world champion in the chess, artificial intelligence (AI) “deep learning” is a metaphor for the audience. The power companies have the opportunity to focus on their own strategies, and the application of the implementation of AI technology and application focuses on optimizing the business process. The girl went inside and took out the bottles and cats, and fed some water and food. Small performance and discover new opportunities. This article uses Pinay escort to prepare problems, imitate Chinese doctors’ “visiting and asking” medical treatment methodsSugar baby to learn the principles of AI in-depth and find the problem of interest in disputes, so as to make the equipmentSugar daddy daddyRestores the mission status.
Image 1: Relationship representation diagram of artificial intelligence and deep learning
Figure 2: Use Chinese medical visualization method to diagnose power equipment faults and indicate the problem of diagnosing
1. Look (image identification)
Look, name sensibilityIt is to see Escort that Chinese doctors observe the patient’s complexion, physical condition, tongue coating, energy status, etc. In power companies, it is also the simplest, most basic and most important inspection method in equipment inspection. After viewing and inspection, the major equipment problems can be exposed and solved: Sugar babyIf the equipment agesSugar baby color change, shape deformation, position displacement, porcelain bottle cracking, conductor wire breaking, bird on the stud tower, corrosion and decomposition of parts, loosening of connection screws, abnormal display of instrument tables, etc., can promptly find equipment shortcomings and solve them in time.
Today, image identification applications are being arranged for quality control (identify product shortcomings), safety (scan passers-by, department and car sign) and medical (identify tumors) fields. Above I will use the innovative renovation plan of China’s Great Wall in April 2018 (Sugar daddy. This is a brand new exploration, advanced unmanned aerial photography and artificial intelligence technology to participate in the renovation and protection of cultural relics and buildings) to guide the exploration, patrol and problem search of power discharge lines.
Figure 3: Artificial intelligence deep learning image recognition is very suitable for power emission equipment problem search
The difficulties in the repair of the Changcheng City: Changcheng is one of the seven wonders of the world and is also the first batch of civilized industries in my country to be listed in the “World Industry List”. Many long cities such as the Arrow Kou Longcheng are facing natural disasters and human injustice, and are curling their eyebrows. The Jiangkou City crosses mountains and steep mountains, and the protection task is absolutely not easy. If it is in accordance with traditional methods, no matter whether it is surveying, measuring, or later processing, it can only be done with a ruler and the entire station, which is time-consuming and labor-intensive. Especially, the Jiankou Long City is mostly located on the cliff of the peak and the surrounding plants and trees.It is dense, and it is difficult for people to arrive at the construction site. In addition, traditional manual measurements cannot reflect the overall picture and details of the Longcheng City, and are not conducive to the protection unit making more accurate maintenance plans (there are similar problems in power transmission line patrols and problem search). In order to fight this almost impossible challenge, Intel and the Sugar daddy have jointly launched a “new” test laboratory for the Chinese cultural relics, Sugar baby, and Wuhan University’s major research and development, combining human-industry with artificial intelligence technology to release a href=”https://philippines-sugar.net/”>Sugar daddyInnovative solution plans to help renovate this huge building. Intel (China) Research Institute and Wuhan University will develop the deep learning algorithm for the long city shortage/cracking identification and positioning, digital repair.
With the Intel® Target™ 8+ unmanned machine, the repair team can collect the required data through a safer, faster, more efficient and more accurate process. If manual methods are used, the repair team will take several months. With the help of an unmanned aircraft, it can be completed in just a few quick flights.
How to use Intel AI to help the Great City repair, it is important to conduct three steps:
1. Collect high-precision images: Apply Intel’s “Knocking 8+” unmanned high-precision image collection: Because the Great City’s span is very large, before repairing, you need to ask for environmental surveys. The traditional method is to measure and measure through rulers, which is difficult to obtain accurate data. Through Intel Falcon 8+ (Intel Falcon 8+) without humans, the staff can detect the destruction of the Great Wall at close range, and can obtain high-resolution images to help cultural security personnel clearly and fully understand the current situation of the Great Wall. This article is similar to the current powerless aircraft patrol.net/”>Sugar baby. Electric power enterprisesEscort manilaThe “seeing” with popular “seeing” and special “seeing” can also be classified as image identification.
2. 3D modeling and artificial intelligence identification of the destruction site (Great City missing/cracking)); 3D modeling and destruction detection: This process includes multiple algorithms and steps. Based on data collected by unmanned machines, the Intel-powered processor can quickly analyze and process tens of thousands of pictures, calculate the length and width of the break, plan the required data, and provide measurement data for cracks such as cracks and landslides to guide physical repair. With these data, the smuggling team does not need to take the field measurement, but can obtain the final time and theme through AI algorithms: maintain a positive centrifugal attitude and shine. Human resources, material resources and capitalEscort manila moneyEscort. This power line unmanned patrol is now viewed as manual analysis, rather than a deeply learned automatic analysis of artificial intelligence. It has low task effectiveness and low accuracy. Our inspection and problem search of the deformation pressure on the column, the tower, the elbow, the wire, the switch, the knife gate, the patrol and the problem search of the transformer on the column are also a big problem. Sugar baby can be distinguished by viewing the fault images, and can all introduce in-depth learning of artificial intelligence for automatic analysis and judgment.
3. Digital repair of artificial intelligence of 3D molds; on the basis of 3D mold reconstruction identification, the latest 3D molds are applied to digitally repair the missing parts of the city walls, and provide guidance and reference data for actual long-term repair and maintenance.
Figure 4: Extremely simple Manila escort (image judgment of faults)
Artificial intelligence computer based on deep data learning can automatically identify damaged incisors based on videos and pictures of line patrols, and combine them with GPS system to understand the fault equipment status. Similar to human facial recognition technology, it can be used to identify defective power equipment (appearance will break, crack, change color, and change shape).
Technical Difficulties: A cooperating challenge for power companies is the need to obtain enough data to train image classification and identification algorithms, and image summary 1: Pre-processing can take up more than half of the entire solution plan. The latest computer processors can support data-enhancing applications and can help solve this problem. These applications rotate and expand images and adjust colors. This means that a large number of images can be used to train the image identification algorithm (depending on the specific application case).
TC:
發佈留言