Energy-saving and consumption-reduction strategies and software system upgrades for AFC systems in response to global climate change and energy conservation and emission reduction

Under the severe challenges of global climate change, energy conservation and emission reduction have become a global consensus. As an important part of the urban public transportation system, AFC not only improves the convenience of passengers' travel, but also undertakes the important mission of energy conservation and emission reduction.

Energy-saving and consumption-reduction measures: dual optimization of hardware and operation

1. Hardware equipment optimization: reducing energy consumption from the source

The primary task of energy conservation and consumption reduction in AFC systems lies in the optimization of hardware equipment. On the one hand, the selection of low-power and high-efficiency hardware equipment has become the key. For example, LED display screens have gradually replaced traditional high-energy consumption display screens due to their low power consumption and long life, and are widely used in guidance and information release at subway stations. At the same time, in the selection of motors for gate machines, ticket machines and other equipment, energy-saving motors are also preferred to reduce power consumption during operation.

On the other hand, the introduction of variable frequency control technology provides a more flexible energy consumption management method for large equipment such as escalators and fans in the AFC system. By adjusting the operating frequency of the equipment according to actual needs, variable frequency control technology effectively avoids long-term full-load operation of the equipment and significantly reduces energy consumption.

2. Refined operation management: dynamic adjustment and intelligent scheduling
In addition to the optimization of hardware equipment, the operation management of the AFC system is also developing in the direction of refinement. Through the intelligent scheduling and monitoring system, the AFC system can obtain passenger flow data in real time and dynamically adjust the working status of the equipment according to the passenger flow. During off-peak hours, some unnecessary lighting equipment can be automatically turned off, and equipment such as gates and ticket machines can also reduce operating power or enter sleep mode to reduce unnecessary energy consumption.

The implementation of time-divided energy-saving strategies is also an important manifestation of refined operation management. According to the characteristics of passenger flow in different time periods, targeted energy-saving measures are formulated, such as turning off lighting in some areas at night or during off-peak hours, adjusting air-conditioning temperature, etc., which are effective energy-saving means.

Software system upgrade: intelligent analysis and optimization
At the software system level, the upgrade of the AFC system also focuses on energy saving and consumption reduction. By introducing advanced technologies such as big data analysis and artificial intelligence, the AFC system can achieve more accurate data analysis and optimized decision-making.

1. Intelligent data analysis: tapping energy-saving potential
Using big data analysis technology, the AFC system can deeply mine and analyze massive operating data. By analyzing data such as passenger travel patterns and equipment usage, the system can discover potential energy-saving points, such as idle equipment during low-peak passenger flow periods and low equipment operating efficiency. In response to these problems, the system can automatically adjust equipment parameters or make optimization suggestions to further improve overall energy efficiency.

2. Intelligent optimization decision-making: improving system energy efficiency
Based on data analysis, the AFC system can also make optimization decisions through intelligent algorithms. For example, based on real-time passenger flow forecast results, the system can automatically adjust the number of gate openings, ticket machine service windows, etc. to balance passenger waiting time and equipment energy consumption. At the same time, the system can also formulate intelligent maintenance plans based on equipment operating status and energy consumption data to ensure that the equipment operates in the best condition and reduce energy consumption increases caused by equipment failures.