Factory air pressure system operation optimization and energy saving and consumption reduction, from the cloud side of the synergistic number of intelligent start
Release date: 2022-06-15 View: 2936
Core Tip: According to statistics, more than 95% of industrial enterprises have to use air compressors, compressed air system has become one of the more widely used power source in the industrial production process.
According to statistics, more than 95% of industrial enterprises have to use the air compressor, compressed air system has become one of the more widely used power source in the industrial production process, and most of the compressed air system exists in the following problems:: the management level is sloppy: manual air compressor, the compressed air system has become one of the more widely used power source in the industrial production process.
Sloppy management: manual inspection, meter reading, adjusting the machine based on experience, passive fault handling, unable to guarantee the real-time matching of gas production and gas demand.
Abnormal gas quality: gas data such as air pressure, water content, oil content, dust content and other gas data are monitored at regular intervals, but it is impossible to realize 24-hour real-time monitoring, and there is a lag in the operation, which is easy to cause large fluctuations in pressure.
Energy waste: ① pipeline high-pressure waste: pressure settings are unreasonable, pressure bandwidth, high-pressure gas supply and low-pressure gas, resulting in high-pressure waste.
② equipment performance utilization waste: due to irrational parameter adjustment leading to frequent loading and unloading of air compressors running, equipment performance is not effectively scheduling, resulting in equipment performance utilization waste.
In the production process of industrial enterprises, the energy saving of compressed air system has a quantifiable value. For example, a total installed capacity of 4 sets of 250kW unit 1000kW compressor station, the annual operating energy costs of 6 million yuan, energy saving 25% of the annual energy cost savings of 1.5 million yuan.
Under the pressure of national dual-carbon and dual-control targets, enterprises are pursuing the green low-carbon development path of energy saving and consumption reduction, and compressed air system operation optimization and energy saving and consumption reduction urgently need to be comprehensively carried out.
PANNERGY.com Air Pressure Joint Control Cloud Edge Collaborative Digital Intelligence products can provide effective solutions for enterprises to realize the value of Digital Intelligence energy-saving.
Digital Intelligent Station Management, Realize Intelligent Operation
Based on the Internet of Things (IoT) technology, the air compressor and its ancillary equipment operating parameters are presented through mobile APP and computer. Real-time monitoring of the operating status, abnormalities and timely alarms to realize the operation and maintenance of air compressors can be seen, can be checked, can be reminded to help managers more convenient management of the air pressure station.
Once the operating equipment failure and shutdown, it can also automatically switch to the backup machine to ensure the safe and stable operation of the air pressure station.
Precise and Intelligent Control of Cloud Edge, Improving Quality and Stabilizing Pressure, Energy Saving and Carbon Reduction
The traditional air compressor operation control can only be set by the upper and lower limits of a single point of pressure to control the pressure band, but the essence of the pressure change is the difference between the supply and demand flow, simple limit pressure value, can not fundamentally solve the problem of pressure fluctuations.
Through the pressure band optimization algorithm, Pan-Power Network dynamically adjusts the pressure band settings according to different production states and operating load characteristics, taking balanced starting and stopping/reducing the number of times of loading and unloading as the starting point, narrowing the pressure bandwidth as much as possible, solving the waste of energy consumption caused by the pressure band being too wide, and the problems of frequent starting and stopping of the compressor, loading and unloading, so as to optimize the operation of the air pressure system and to ensure that the operation of the air compressor is safe and stable.
The better operation sequencing algorithm starts from the actual demand that the operation priority of air compressors should not be fixed, but should be adjusted dynamically, and selects the better operation sequencing of air compressors by combining multiple dimensions such as operation energy consumption, time equalization, failure exit, and switching between master and backup machine, so as to provide intelligent algorithms for the energy saving, operation and maintenance of air compressor stations.
It is expected to reduce energy consumption by 5%-30% and reduce operation and maintenance costs by more than 10%.
Easy maintenance and life extension of equipment
The platform controls the startup of air compressors in a balanced manner according to the balanced operation time strategy, and balances the operation time of each air compressor as much as possible, which facilitates the maintenance of the equipment and extends the operation time of the equipment.
As an effective tool for the operation and management of enterprise air compressor stations, the cloud-based big data analysis and machine learning, continuously optimizing the operation and control algorithms of air compressors, realizing the assets of air compressor stations at a glance, real-time visibility of the operation status, timely reminder of the equipment maintenance, and automatic (remote) control of the equipment operation, help enterprises to run low-carbon and energy-saving air compressor stations and save energy and peace of mind.