The implementation time of standardized installation was reduced by 70%, and the product deployment was completed within half a day at the fastest. At the same time, the accuracy of data was increased from the industry average of 70% to 99.99%.
The explosion of the Industrial Internet in recent years has accelerated the transformation of traditional industries. By deploying sensors, technology providers analyze and process the read device data and upload it to SaaS and cloud to form big data, which provides operational capabilities and optimized decision support for enterprise operations. With the development of Internet of Things, cloud computing, and artificial intelligence technologies, the Industrial Internet has helped companies evolve from the most basic equipment asset management to business operation optimization, and even the direction of industrial ecological innovation.
Although the industrial Internet has a trillion-dollar market size, when enterprises enter the vertical industry, they still face inconsistent interfaces / protocols and non-standards. The long deployment cycle leads to high customer investment costs, and system software cannot be compared with actual Business matching and other issues. This involves the operation of a whole process from software and hardware development to project implementation, which requires the team to have a good technical level and a certain industry knowledge accumulation.
Shanghai Extreme Entropy Data Technology Co., Ltd. (hereinafter referred to as “Extreme Entropy”) is a solution provider that cuts into the industrial Internet from the three subdivisions of electricity, gas and heat. The company was founded in 2014. The core strength of products lies in: reducing product costs through self-developed software and hardware technologies, and using the team ’s years of industry accumulation to achieve rapid product deployment and professional value enhancement, helping industry users reduce project costs, Improve the quality and efficiency of energy and power supply.
First of all, from the point of entry of the industry , energy and power are the basic elements of industry, and there is a huge customer group with increasing demand in these two directions. However, at present, many domestic enterprises are not uniform in terms of energy consumption optimization standards and technologies, and it is difficult to make general-purpose products. Therefore, Sun Donglai, CEO of Extreme Entropy, believes that if companies want to achieve cost reduction and efficiency improvement, they must let the solution sink. To specific details and unify interaction standards. Just like a group of people talking about weight loss, only the unified unit of “calories” can accurately assess the energy intake and consumption.
Extreme entropy selects the scene with the widest demand in the industry under the big energy power scenario-electricity, gas, and heat. At the same time, these three directions are relatively closed scenes, although there are still complex processes and deep processes that require deep cultivation in the business direction. Process, but the customer ’s path to using the three products is similar. In addition, the industry standardization in the three fields of electricity, gas, and heat is relatively high. Unlike the automation industry, which has many non-standard designs, equipment access is relatively easy.
From the perspective of core technology , the advantages of extreme entropy are mainly reflected in three aspects: system stability, complete data, and efficient algorithms. The company has all intellectual property rights to support edge computing hardware products and cloud architecture, with the help of ST industrial-standard low-power processors to ensure stable and reliable data. In addition, based on distributed