#smart industry

Fire always leaves a trail before it truly spreads. The problem is, that initial trail is often too thin, too faint, and hovers unseen amidst the gusts of air conditioning in a server room or the high ceilings of an industrial warehouse. Ordinary detectors will ignore it, waiting until a real smoke storm hits.

But not with Aspirating Smoke Detection (ASD). This system works like a very sensitive sense of smell. Through small tubes scattered throughout the room, it continuously breathes, drawing constant air samples into its laser analysis chamber. It searches for the tiniest particles of circuitry that are starting to heat up, picking up on danger signals at their earliest stages, and whispering a warning before any real damage can occur.

This afternoon on Substack, Elkofire invites you to take a closer look at the scientific mechanics behind this ASD system. Because in the modern world of protection, detection is no longer about responding to what is already burning, but rather stopping the danger before it has a chance to be born.

Honeywell brings a world-class building control & automation system that delivers safety, style & comfort for buildings for any purpose i.e. energy efficient & comfortable. Future is ready with Honeywell.

Honeywell's Building Management System For building environments of all sizes and needs. BMS is for maximum efficiency & cost savings for homes, buildings, industrial facilities.

Smart Home: With its advantages of popularity / wide application, low power consumption, and small size, Bluetooth provides a reliable wireless connection platform for smart homes, and realizes automatic control in scenarios such as lighting, door locks, curtains, and doorbells. For example, lighting,the compound annual growth rate in the next five years is expected to reach 54%.

Smart industry: At present, many factory floors are equipped with Bluetooth sensors to improve production efficiency and safety, and smart phones and tablet computers are becoming central control equipment in factories and industrial environments, providing a safer interface for monitoring and controlling industrial machinery.

Smart buildings: Due to the realization and development of indoor positioning, the concept of "smart buildings" has been gradually expanded, and the introduction of Mesh technology marks the official entry of Bluetooth into full building automation.

Pune is considered the cultural capital of maharashtra. Pune is also one of the fastest growing cities in the Asia-Pacific region. Pune has been able to create one of the strongest human capital and economic growth engines among Indian cities. With 811 colleges, it is often called the “Oxford of the East”.

An unexpected equipment failure can affect offshore producers much the way an unexpected closure of Interstate 10 affects Houston drivers. Everything comes to a stop. For drivers, that means lost time. For offshore operators, lost time means less money to the bottom line.

That's bad news for companies and their shareholders as unplanned equipment shutdowns cost billions of dollars each year, potentially driving the cost of producing offshore oil well above today's market prices

The safe and economical recovery of future oil and gas resources demands operational efficiency, and this efficiency can be realized only if there are no unplanned downtimes due to equipment failures. Almost all oil field equipment now is fitted with sensors that provide data about operations, and increasingly production companies are realizing that those terabytes of data streaming from the monitoring sensors built into equipment can be used to improve operational efficiencies and, ultimately, profit margins. Why shut down if they don't need to?

The traditional method of interpreting the data takes months and requires that it be stored for extended periods of time. Data analytics is changing that.

Data analytics uses mathematical modeling to harness "big data," the huge amounts of data that flow from the increasingly connected world around us. Posts on Facebook, Instagram and other social media sites can be captured and analyzed for trends and other useful information. Oil and gas companies are interested in using the industrial internet of things - the idea that "smart" machines using big data technology and machine learning are better than humans at accurately and consistently capturing data.

The goal is to perform maintenance as it is needed, rather than following a rigid, pre-set schedule - potentially losing production time for unnecessary maintenance or suffering an unanticipated shutdown when equipment fails before the scheduled maintenance time.

The system operates on the same principal as that used by your car to estimate how much farther you can drive without running out of gas, an estimate that is constantly adjusted based on your driving patterns. The potential benefit goes beyond financial savings through avoiding unnecessary shutdowns. It also is expected to reduce risks to both workers and the environment as companies gain advance warning before potentially disastrous accidents.

This technology goes one step further by analyzing overall operations, including worker performance. Complete coordination through the integration of data from both workers and equipment is now possible, with workers assured that the equipment is available and reliable. It can also reduce data storage costs - data can be stored in the cloud rather than on production platforms, where space is at a premium.

Beyond that, data can help identify future design modifications much like evolution. The reality is that the equipment can now "speak" through the data streaming from various sensors to identify when it is stressed, much like an athlete can report signs of injury before it becomes debilitating.

Companies already have begun to realize these savings; key players in the industry developed a process for using this data, which has gone through rigorous testing over the past 18 months. I worked with them to develop a curriculum to train engineers to use mathematical modeling, simulation and data processing to capture and use this data for real-time condition and performance monitoring of oil and gas production systems.

Monitoring and managing big data is a growing discipline, not just in the energy industry but also in health care, aerospace and other industries.