上海水磨休闲娱乐会所

Enterprise emissions "Running" AI video recognition system easy to capture

  "You have a lot of bubbles, please deal with it immediately, we also come here!" In the afternoon of August, the person in charge of the person in charge of a laundry company in Chongqing suddenly sounded, and the phone was the local environmental protection department. "It’s impossible, our staff will only be 乐上海品茶论坛 inspected half an hour, everything is normal.

"The person in charge of the company, halfway, halfway to the emission mouth, suddenly stupid: I only see the foam that is increasing in the pipeline, I have already stacked a large 上海老司机喝茶群 piece on the spot. The person in charge of the company quickly notified the front end link.

The foam quickly disappeared, and the person in charge made a breather. What is the environmental protection department? When his eyes swept a camera next to it, he realized that the AI ??video recognition system installed in the front is helpless.

  "From our intelligent system discovery, to the laundry enterprise quickly solve the problem, just spend up to 5 minutes. We rely on the industrial park smart environment integrated management system, which is the first southwest.

"Relevant people from the Environmental Protection Department of Chongqing Economic Development Zone said.

  It is understood that this set of environmentally friendly supervision systems constructed by Joint Jingdong Science and Technology Group and its incubation enterprise loop, with AI video recognition, environmental emergency command operational map real-time projection technology, digital pollution source diffusion prediction model three advanced technology In the industry, it is the first to get applications, and each technology is "black technology." Environmental issues AI video recognition rate is nearly 100%, asked the general manager of Science and Technology, introducing the traditional emission monitoring, mainly relying on environmental protection personnel to sample, enterprise self-test, etc., there are many vulnerabilities.

For example, it is difficult to discovery, for example, secrets such as tubes, overflows or steals.

In this regard, there are also some local environmental protection departments that install cameras in key enterprise discharge ports, and to ensure that hundred percent of monitoring and timely handling, it takes 24 hours without password, which is obviously difficult. And AI video recognition technology effectively solves this problem. The reporter saw through the on-site demo, when the discharge port video screen, the water surface solid slag, foam, or the flow of flow of overflow and the color change, the background system will respond immediately, set the problem position, and combined online water quality Monitoring sensing device data for comprehensive analysis, when judging an abnormal, the alarm information is sent to the environmental protection staff. Introduction to Shen Yang, currently, dozens of key environmental monitoring companies in Chongqing have installed this AI video recognition system. The map real-time projection allows pollution "现 现" and then talk about environmental emergency command operational map real-time projection technology.

The reporter saw in the live demo, when the staff on the map of the central control screen, when selected a cross-intersection of Chongqing, immediately "covered" on a high-definition picture, the road in the picture, the road car, Positive It is a local real-time scene. Industrially introduced that when there is a regional environmental issue such as sewage, flue gas pollution, this technology enables the monitoring command center to get a real situation in real-time in real time, making more accurate judgment and disposal. It is understood that the technology synchronizes the regional image through a high-altitude observation camera, drone, etc. In addition, by integrating optical equipment analysis techniques, the monitoring command center can also determine the concentration of some kind of pollution factor in the first time, so that the pollution problem is now now. According to reports, the system is based on the diffusion properties and scale of different pollutants, which can simulate contamination after a particular location, and where the terrain diffuses, and the position and time of the future. In this way, the emergency department can set the interception position in advance, perform disappear preparation, accurately predict the amount of pollution drug delivery, and avoid secondary pollution.

  Forming a regional enterprise sewage perceived "One Network" At present, the above-mentioned smart environment integrated management system has established hundreds of "production discharge enterprises database", and concentrated in the various pollution factors, governance equipment, etc. Environmental information. At the same time, information such as corporate address, sewage permit, environmental protection person in charge, etc. also entered the database, establish a complete enterprise "portrait", and finally form a full-time area company sewage aware network. "This smart system helps us achieve visualization, information, data, intelligentization, and efficiency of the park environment management work." The field staff introduced that after discovering the abnormal sewage of the company, they also find professional institutions. Go to the site sampling, test, and the entire work takes at least one week. And now there is a smart system support, you only need a quarter to "get".

  At the same time, the system background can also automatically calculate and analyze the collected data and information. According to the large data generation of the environmental protection work report, data support is provided for the park precision supervision. Next, the smart system in Chongqing is also developed in the fields of carbon emissions Internet access 上海1314龙凤论坛 emission reduction, intelligence water, industrial waste gases, and solid waste management. Chongqing Daily reporter Bai Lin (Editor: Chen Yi, Zhang Wei) Share more people see.

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