Accelerating the Industrial Internet of Things
Log In
Use Cases Building Energy Management System (BEMS)

Building Energy Management System (BEMS)

Building Energy Management Systems (BEMS) are computer-based systems that help to manage, control and monitor building technical services (HVAC, lighting etc.) and the energy consumption of devices used by the building. They provide the information and the tools that building managers need both to understand the energy usage of their buildings and to control and improve their buildings’ energy performance. Key vendors: Honeywell, Johnson Controls, Schneider Electric, Siemens

Read More
Powering Smart Home Automation solutions with IoT for Energy conservation
Many industry leaders that offer Smart Energy Management products & solutions face challenges including:How to build a scalable platform that can automatically scale-up to on-board ‘n’ number of Smart home devicesData security, solution availability, and reliability are the other critical factors to deal withHow to create a robust common IoT platform that handles any kind of smart devicesHow to enable data management capabilities that would help in intelligent decision-making
Real-time Monitoring and Unified Management  Platform for PV Plant
Real-time Monitoring and Unified Management Platform for PV Plant
As PV power plants continue to increase, centralized management and information integration become thorny problems.Enterprise PV systems mainly supply power for their own needs and may sell excess power to the power company whereas Photovoltaic (PV) power plants specialize in solar energy collection and then feeding the energy into the grid.To transmit the data of the PV systems wired or wireless networks can be used. However, wireless networks have the advantage of flexibility and are the best choice for those who want quick deployment.Taking into account the requirements of wider coverage and long-distance transmission, the existing fiber-optic networks had many shortcomings ie high cost, complicated wiring and long construction period, and it may also have been necessary to excavate walls, drill holes, embed wires, or even destroy the original building structure. After evaluation, the Juli Group decided to adopt an easy installation and easy expansion wireless network system for early completion of this project.
Siemens | Using Machine Learning to Get Machines to Mimic Intuition
Siemens | Using Machine Learning to Get Machines to Mimic Intuition
The ability to learn is a precondition for autonomy. With this in mind, Siemens researchers are developing knowledge networks based on deep learning-related simulated neurons and connections. Such networks can be used to generalize information by identifying associations between extraordinarily complex realms, such as the publicly accessible Internet and a company’s internal information systems. Far-reaching and generic, this technology appears to hold the potential of mimicking what humans call intuition.

The Global Energy Management Systems Market size is expected to reach USD 62.3 billion by 2023, from USD 25.9 billion in 2016, growing at a CAGR of 13.5% during the forecast period (2017-2023).

Source: Alliedmarketresearch

Download PDF Version

p: +86 21 6010 5085 (ext 188)  m: +86 156 0183 9705
a: 338 Nanjing West Road, Shanghai 200003 China
e:  w:
twitter@IoTONEHQ  linkedin: IoT ONE

test test