INVT (Shenzhen INVT Electric Co., Ltd) has been concentrating on industry automation and energy power since its foundation in 2002 and is committed to “Providing the best product and service to allow customers more competitiveness”.

At present, INVT owns 16 subsidiaries and more than 3000 employees, over 30 domestic offices and warranty centers and 8 overseas branches, forming a sales network covering more than 60 overseas countries and regions.

With business covering industry automation, new-energy vehicle, network power and rail transit, INVT has established 12 R&D centers nationwide, boasts more than 850 patents and owns the first lab in the industry awarded ACT qualification from TÜV SÜD, UL-WTDP and CNAS National Lab.

In the next decade, INVT will continue to enhance core business sectors including industrial automation, new energy vehicle, network power, and railway.

INVT Industrial Internet of Things System adopts four-layer architecture design: equipment sensing layer, communication acquisition layer, platform support layer and application layer, which is easy to expand and dock a variety of applications to provide industry users with the Internet of Things solution.

Air Compressor Internet of Things Solution:

INVT air compressor Internet of Things system is the Internet of Things monitoring, management, analysis system applied in the air compressor industry, the Internet of Things monitoring system with remote management, maintenance, analysis, and monitoring. It can solve the difficult management, maintain, monitoring and other problems in the traditional air compressor industry caused by a complex environment and make the work more intelligent and efficient.

Construction machinery Internet of Things solutions:

INVT construction machinery Internet of Things system is a set of Internet of Things monitoring, management, analysis system applied in the construction machinery industry，and the Internet of Things monitoring system with remote management, maintenance, analysis, and monitoring. It can solve the difficult management, maintain, monitoring and other problems in the traditional construction machinery industry caused by the complex environment and make the work more intelligent and efficient.