Amazon cloud technology empowers Zhixin vision to realize intelligent heating and help the heating industry save energy and reduce emissions

The following is the Amazon cloud technology empowers Zhixin vision to realize intelligent heating and help the heating industry save energy and reduce emissions recommended by recordtrend.com. And this article belongs to the classification: Industry information.

On November 11, 2021, Amazon cloud technology enabled technology partner Zhixin vision helped it continuously optimize the range cloud intelligent heating and intelligent heat use solutions, create an industry-leading SaaS service platform, promote energy conservation and emission reduction in the heating industry with more optimized solutions, and help the industry achieve the “double carbon” goal. Zhixin vision uses Amazon sagemaker, a machine learning service of Amazon cloud technology, to quickly realize heat load forecasting and intelligent scheduling. Since the technical cooperation with Amazon cloud technology in 2019, more than 500 heat exchange stations have been newly connected to the application of Zhixin vision moon range cloud platform for urban central heating enterprises, covering a heating area of about 30 million square meters, and the cumulative energy saving is equivalent to 100000 tons of standard coal, equivalent to 300000 tons of carbon dioxide emission reduction. In addition, Zhixin vision also adopts Amazon cloud technology intelligent Lake warehouse architecture to tap users’ needs through data analysis services to provide users with a more comfortable intelligent heating experience; Relying on Amazon cloud technology’s many out of the box cloud services, it continues to reduce costs, simplify operation and maintenance and accelerate application innovation. The product function release cycle is shortened from the original three months to one month, and more energy is invested in core business development to realize business upgrading.

At present, most of the heating industry is based on manual experience and traditional algorithm regulation, which can not support the massive intelligent equipment on the heating pipe network and the exponential growth data brought by it, and can not provide accurate heating. Using artificial intelligence and machine learning technology can solve the pain point of this industry, but ordinary enterprises do not have such technology and talent reserve. Amazon sagemaker, a machine learning service hosted by Amazon cloud technology, helped Zhixin vision quickly build intelligent prediction applications using ready-made machine learning models, avoiding spending a lot of energy on building a machine learning environment. Three main heating models were launched in two weeks, including the identification and elimination of burr data (abnormal data), It solves the problem of abnormal data often encountered by many industrial equipment in the heating industry, ensures the accurate prediction and intelligent regulation of the load of the heat exchange station, provides users with warm and comfortable intelligent heating, and significantly improves the market competitiveness of its moon range cloud platform.

Zhixin vision also built a data lake according to the Amazon cloud technology intelligent Lake warehouse architecture, used Amazon Simple Storage (Amazon S3) to store heating data, built a data warehouse through Amazon glue and Amazon Athena, and carried out data conversion and calculation with the help of Amazon lambda server free computing service. Based on Amazon cloud technology intelligent Lake warehouse architecture, Zhixin vision has built a data analysis application in only four weeks. At present, Amazon S3 has access to 1.1tb heating data and 700 + data tags, covering the data of all links of the heating system from heat source, heat network to room. It can quickly provide data analysis services, mine data insight and better assist business decision-making.

Previously, due to business growth, Zhixin vision has long faced the dual pressure of R & D and operation and maintenance. Now, relying on many out of the box functions and services of Amazon cloud technology, the stability and business continuity of Zhixin vision moon range cloud platform have been greatly improved, ensuring the user’s comfortable experience, while reducing the complexity of deploying middleware and operation and maintenance costs. The Amazon elastic kubernetes service (eks) container service is used to transform the original application to the cloud, shorten the version iteration and online time, release the version online without the participation of system maintenance personnel, and automatically complete the construction and release within 3 minutes after the code is submitted. The simplification of operation and maintenance enables Zhixin vision to focus on code logic, create an intelligent, convenient and manageable intelligent heating platform, and further promote industrial upgrading.

Among the heating enterprises served by Zhixin vision, Linfen thermal is of representative significance. It adopts Zhixin vision moon range cloud platform and realizes the goal of cost reduction and efficiency increase with the help of Amazon cloud technology machine learning and other services. According to the existing data of Linfen thermal power, after large-scale application, it will produce energy-saving benefits of more than 10 million yuan per year in the future. In addition, by using the technology and services of Amazon cloud technology, Zhixin vision also helped a community of 180000 square meters in Shijiazhuang to carry out cloud management, regulation and heating. Under the condition of ensuring comfortable temperature, the heat saving rate reached 44%, saving 570000 yuan of heating cost and 50000 yuan of electricity cost a year. If converted to coal, it is equivalent to reducing 1550 tons of carbon dioxide emissions.

Zhang Xiaoying, CEO of Zhixin vision, said: “Energy conservation and emission reduction is an important goal of the heating industry. Through the use of Amazon cloud technology’s machine learning, data analysis and other services, our moon range cloud platform has been continuously optimized iteratively, realized the continuous innovation and upgrading of business, and brought a comfortable experience to users. In the future, we will continue to work with Amazon cloud technology to further give full play to the advantages of Amazon sagemaker , while deepening the application of Amazon cloud technology’s intelligent Lake warehouse architecture, we also look forward to working with Amazon cloud technology to apply intelligent heating solutions to more energy consumption fields such as public buildings, central air conditioning systems and distributed energy, so as to promote the digital and intelligent development of the heating industry and contribute to China’s carbon peak goal by 2030. ” More reading: Amazon cloud technology continues to promote a number of container and serverless services and functions in China. Amazon and red hat announced the launch of red hat openshift container platform hosting services based on Amazon cloud technology. Modern applications usher in a new wave of development. Amazon cloud technology releases new services and functions. Shaanxi University of science and technology uses Amazon cloud technology Technology accelerates the exploration of brain mysteries and is committed to bringing new sounds to hundreds of millions of people with hearing impairment around the world. It is based on the “smart Lake warehouse” of Amazon cloud technology Amazon cloud technology launched predictive maintenance service for industrial equipment based on machine learning. Amazon cloud technology launched snowball edge storage optimized in China. Amazon cloud technology announced to provide Amazon EFS with low-cost storage. The second self driving bus line in Suzhou is fully open to the public, and cloud computing drives the self driving data factory Simplify container and server free application delivery Amazon cloud technology announces that Amazon proton is officially available Amazon cloud technology announces that Amazon nimble studio is officially available to build an image content studio on the cloud in just a few hours Amazon EC2 x2gd with self-developed processor Amazon graviton2 is fully available Amazon graviton2 instance with self-developed processor landed in China Amazon cloud technology rich students State diversity Amazon cloud technology launches three new functions of Amazon connect. Amazon cloud technology and salesforce expand strategic cooperation: unified developer experience and launch new intelligent applications

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