Description
- 32-bit DSP digital control mode
- Low vibration, low noise, low power consumption
- Maximum output current 3A/phase
- Adopting CAN bus and supporting standard CANopen communication protocol, it can load up to 127 devices
- Supports three modes: protocol position control, speed control, and periodic position control
- Current setting, subdivision, motor start stop control, and real-time monitoring of motor operation can be achieved through the bus
- 2-channel optoelectronic isolation programmable input interface
medical equipment, various types of robots, robotic arms, automated production lines, and various CNC machine tools.
BEIJING, Feb. 10, 2022 /PRNewswire/ — Recently, the ABB Ability™ EAM energy efficiency and asset health management cloud platform launched at the ABB Electrical “Carbon” Fusion Development Summit is the original ABB Ability™ EDCS smart distribution platform. The latest integration and upgrade plan of the power management system and the MyRemoteCare asset health platform integrates the energy efficiency of medium and low voltage products and asset management, helping users reduce the total investment cost of the entire asset life cycle and accelerate the conversion of fixed investment to operating investment. This new platform supports cloud version, local version and cloud + local comprehensive version, solving the pain points of local deployment of digital solutions for industrial users, and meeting the energy efficiency and asset management needs of users in various industries such as food and beverage, chemical and metallurgy, data centers and commercial buildings. .ABB Ability™ EAM energy efficiency and asset health management cloud platform releasedFacing the dual pressures of the COVID-19 epidemic and economic downturn, the world is in a critical period of accelerating the transformation from an industrial economy to a digital economy. According to statistics from the China Academy of Information and Communications Technology, the scale of my country”s industrial digitalization has reached 31.7 trillion yuan, accounting for 80.9% of the digital economy. The “14th Five-Year Plan” also clarified that digitalization is a key direction for future development and will boost the new generation of information technology. Cross-integrated with the industrial and energy Internet, the innovation cycle of key technologies such as core software, smart sensors, and artificial intelligence mechanism algorithms has been continuously shortened, promoting the development of industrial digitalization into the fast lane.Industry is the main battlefield for digital transformation, and digital technology also promotes revolutionary changes in the industrial value chain – the systematic forward-looking design at the national strategic level depicts a sustainable future of digital, intelligent, and low-carbon industrial production to release greater The spillover effect and multiplier effect bring broader growth space for the digital economy. As a global industrial technology leader and digital leader, ABB has used its rich industry experience to develop ABB Ability™ digital solutions and platforms, and through several years of continuous innovation, it has helped thousands of industries tap into the unlimited potential of digitalization.In response to the constraints of digital transformation, ABB Ability™ digital solutions have accumulated rich experienceAs an important engine for high-quality development of enterprises, digital transformation”s value is not only reflected in connecting on-site equipment and supporting production. Data is also a core element for enterprises to carry out digital innovation and build digital genes. Through failure prediction and analysis of the health status of production equipment, monitoring objects and related data, it can help enterprises form a global perspective, reduce operating costs while improving decision-making quality and production efficiency.Digital transformation is a systematic project that not only requires increased investment in R&D and talent reserves, but also a comprehensive upgrade of production infrastructure and the ability to obtain efficient data, analyze industry-specific data insights, and top-level planning. Therefore, in actual deployment, Still faces many challenges and constraints.For example, with the development of the industrial Internet of Things, more and more enterprise field equipment data no longer need to be transmitted to the center, but choose to be calculated and analyzed locally. How to better combine industrial equipment edge analysis and cloud computing to make the data more valuable? It has been fully utilized to build a new starting point for industrial digitalization and run through the new industrial era. How to fully combine the mature applications of sensor technology, artificial intelligence and machine learning to better promote the popularization of predictive maintenance is a key cornerstone of industrial digital transformation. How to use data to achieve optimal operational decisions is also a necessary consideration for enterprises to improve the return on investment of digital transformation.
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