Within A Neuron Information Typically Flows In Which Direction Order Energy Saving in Industrial Processes Using Modern Data Acquisition

You are searching about Within A Neuron Information Typically Flows In Which Direction Order, today we will share with you article about Within A Neuron Information Typically Flows In Which Direction Order was compiled and edited by our team from many sources on the internet. Hope this article on the topic Within A Neuron Information Typically Flows In Which Direction Order is useful to you.

Energy Saving in Industrial Processes Using Modern Data Acquisition

Some of the most effective technologies for improving industrial processes are model predictive control, neural networks and soft sensor technologies. Technologically advanced production companies, which use innovative process management and monitoring systems, achieve 20-30% lower production costs than similar plants where such systems are not used. The idea of ​​this work is to evaluate the potential of cognitive systems of managing industrial processes in order to optimize the company’s activities in increasing energy efficiency and saving resources. For this purpose, advanced methods of analysis and data collection, monitoring, and control systems are used.

Process optimization includes the following steps:

Data collection they can be realized with different techniques. The most commonly used method for data collection is the use of hardware sensors. This is the simplest way to track the process if no tracking system exists. If a data collection system (eg SCADA) is already installed, it is possible to use SCADA collected data or, if SCADA does not collect all the necessary data, it is possible to combine SCADA collected data with data collected by additional sensors.

Collected data usually needs to be transferred for further processing. There are two main types of data transmission: wired, wireless, and software. Data rate is usually not important for acquisition systems because there is not a large amount of data. Wired and wireless data transmission is used to transmit data from hardware sensors. Both raw and processed data may be transmitted for collection. It is possible to use different types of data transfer methods in one system. Software links are used to collect data from other already installed systems, such as SCADA, using standard data transfer protocols, such as OPC and DATA socket.

For data processing standard data processing software is mainly used. The most popular software is MatLab, other software solutions are Profisignal, LabView and custom made software created for specific tasks.

There are 2 main types of algorithms for controlling complex systems.

1. Predictive model management.

2. Advanced process control.

Predictive model management (MPC) systems collect process information, learn the typical sequence of parameter changes, predict them, and change the system parameters to make the system output smooth. MPCs are used in systems that monitor and control several variables.

Advanced process control (APC) controls complex processes with many monitored variables and controlled outputs. Compared to MPC, APC involves much more data processing.

In this paper, we improve the efficiency of industrial processes in pulp paper manufacturers by improving the compressed air system in the product packaging line. This system contains 3 air compressors and 217 users (actuators, valves, etc.). The pressure in the system is set between 6.5 and 7.9 bar. Average pressure in the system – 7.2 bar. The pressure deviation in the system is ± 0.7 bar. The most demanding users require an air pressure of 6 bar.

Improving efficiency includes the following steps:

1. Analysis of the existing system.

2. Monitor the compressed air system using a data logger.

3. Analysis of data from the data logger.

4. Upgrading the compressed air system with additional controllers, sensors (if necessary) and making APC.

5. Creating an algorithm for APC.

A modern data logger with current, pressure, dew point and consumption sensors is used for temporary monitoring of industrial processes. The collected data is used to find weak points in the compressed air system, create a list of necessary system upgrades and create an effective control algorithm for the regulator that will be installed in the next phase. The test results showed that the overall output of the system averaged 39.2% of its maximum productivity.

System pressures above 6 bar are unnecessarily high. It increases the amount of air released from the system, wear of pneumatic system components and energy consumption.

The following improvements were made to improve the compressed air system:

1. Install the APC controller on the system.

2. Installation of pressure and flow sensors.

3. Installation of air compressor regulators.

Installing an APC controller in a compressed air system will give greater flexibility in managing all system parameters and increase efficiency.

In the original system, the air compressors had no direct control, they could only be turned on at 100% power or turned off. We have added system controllers that can allow the air compressor to run between 20%-100% of total power. This update will increase the control flexibility and efficiency of the compressed air system.

For the first upgraded test run system, the controller and added sensors were enabled, the compressed air pump controllers were disabled, the system pressure was set to 7.2 bar with a possible variation of ± 0.1 bar, so the deviation is 7 times less than in to the original system, while the target system pressure remained the same as in the basic setting. The system worked well and compared to the original system, electricity savings of 2.1% were achieved.

In the second test run, the air compressor regulators were turned on, the system pressure was set to 6.25 bar with a deviation of ±0.1 bar. The test results are very stable and with an energy saving of 15.1% compared to the original system.

The finished system is very compact. It is estimated that the lifetime of various system components will increase by 5-10%. A system using an APC controller will save 15% energy and 5-10% hardware wear. Also, APC systems can be maintained remotely, saving money on service costs. The total system savings is at least 25%. The designed and installed APC system will be purchased in less than 6 months.

Video about Within A Neuron Information Typically Flows In Which Direction Order

You can see more content about Within A Neuron Information Typically Flows In Which Direction Order on our youtube channel: Click Here

Question about Within A Neuron Information Typically Flows In Which Direction Order

If you have any questions about Within A Neuron Information Typically Flows In Which Direction Order, please let us know, all your questions or suggestions will help us improve in the following articles!

The article Within A Neuron Information Typically Flows In Which Direction Order was compiled by me and my team from many sources. If you find the article Within A Neuron Information Typically Flows In Which Direction Order helpful to you, please support the team Like or Share!

Rate Articles Within A Neuron Information Typically Flows In Which Direction Order

Rate: 4-5 stars
Ratings: 7856
Views: 37553762

Search keywords Within A Neuron Information Typically Flows In Which Direction Order

Within A Neuron Information Typically Flows In Which Direction Order
way Within A Neuron Information Typically Flows In Which Direction Order
tutorial Within A Neuron Information Typically Flows In Which Direction Order
Within A Neuron Information Typically Flows In Which Direction Order free
#Energy #Saving #Industrial #Processes #Modern #Data #Acquisition

Source: https://ezinearticles.com/?Energy-Saving-in-Industrial-Processes-Using-Modern-Data-Acquisition&id=7358639