How can energy-saving technology for rotary turnstiles improve overall operational efficiency?

一, Pain points and energy-saving needs of traditional rotary gate operation
1. Energy consumption issues of traditional equipment
Constant high load operation: With a daily average power usage of 4-6kWh per machine and a share of no-load operation exceeding 60% traditional turnstiles have a fixed speed design.
Mechanical wear increases: components like motors and reducers run at full load for extended periods of time, which raises an average annual maintenance cost by 45%.
Waste in response time: Older mechanical limit devices have a response time more than 200 ms, which causes poor energy economy.
Good emergency mode: Constant open state and power outage depend on continuous power supply from the battery, therefore reducing the lifetime of the battery.
2. The value of upgrading energy-saving technologies
Dynamic load match: Change motor power in response to real-time traffic demand to save 40% to 55% of the energy consumed.
predictive maintenance: By over 35% motor condition monitoring helps to extend equipment lifetime and lower spare part replacement frequency.
System level optimisation: Link with building automation systems to accomplish worldwide energy control.
Improved economic gains: One device can save more than 3000 yuan in annual electricity bills, therefore lowering running and maintenance expenses by thirty percent.
二, Construction of energy-saving technology system
1. Hardware layer energy-saving design
Efficient motor system:
By using permanent magnet synchronous motor (PMSM), the efficiency rises to 92% - 95%.
Integrated variable frequency drive (VFD), therefore providing 0.1–1500 rpm stepless speed control
Having twin cooling air ducts helps the motor's temperature rise to be lowered by 25 ℃.
Intelligent transmission mechanism:
Harmonic reducer gearbox ratio 1:100 mechanical efficiency > 96%.
With a 16384P/R resolution, magnetic encoder replaces conventional photoelectric encoder
Self lubricating bearing design brings the friction coefficient down to 0.0008.
Module of energy recovery:
Inspired by wind turbine concepts, transform passenger traffic's mechanical energy into electrical power.
The daily average power generation of one gadget in Miromesnil metro station in Paris shows that it exceeds 2200 Wh.
Equipped with a supercapacitor energy storage device, the energy conversion efficiency approaches 85%
2. Control layer intelligent algorithm
Adaptive speed regulation strategy:
Response times of forty-milliter control based on fuzzy PID control
93% prediction accuracy LSTM neural network traffic flow prediction model
Multi objective optimisation method balancing energy consumption and traffic efficiency
Dynamic load matching:
dynamically changing output power by real time motor current and torque monitoring
3W idle standby power, cut 95% from conventional equipment
30% improvement in light load mode (<30% load) efficiency
Constant door opening mode: with a response time of less than 50ms, highly precise sensors identify illegal passage.
Paris, According to metro experiments, this mode lowers energy usage by 40% and increases traffic efficiency by 110%.
Armed with a sound and light alert system, the ticket evasion interceptive rate hits 99.5%.
3. Cooperative management at the system level
Integration of building automated systems:
Support BACnet and Modbus as part of industrial protocols.
Connect with air conditioning systems and lighting to attain scenario based energy saving.
Platform management on clouds:
0.01 kWh precision remote energy consumption monitoring
Alert on abnormal energy consumption; equipment breakdown seen seventy-two hours ahead
Reports on energy efficiency help to enhance KPI evaluation
三, Application of energy-saving technology in typical scenarios
1. Subway hub scene
Technical answer:
Install millimetre wave radar pedestrian flow monitoring equipment to track passenger flow density in waiting areas in real time.
Using a partition control approach will help the gate group to be divided into high/medium/low load zones.
Integrated energy recovery module: daily power generation satisfies 10% of equipment power need
Implementation effect:
From 5.2 kWh to 2.6 kWh is the daily average power usage of one machine.
Motor lifetime stretched to ten years, standard five years.
Cut running and maintenance expenditures by forty percent.
45% rise in traffic's efficiency
2. Scene in a high speed train station
Creative Practice:
Create a flight/training schedule link and start preheating or pre chilling thirty minutes ahead of time.
Using a solar assisted power supply system, the yearly self generating capacity comes to 1500kWh.
Apply digital twin system to attain virtual energy consumption virtual debugging
Operational data:
The PUE value of the fleet of international gates has reduced to 1.12.
The carbon emission intensity now runs at 0.07 kgCO ₂/person time.
Emergency power supply batteries lasted five hours.
lowered fault response time to three minutes
3. Scene Area for Skiers
Intelligent strategy: Dynamic change of gate opening quantity depending on Wi Fi probe for passenger flow heat map analysis
Create staggered traffic to direct tourist flow.
Combine electronic ticketing systems to cut the use of paper tickets.
Saving of energy advantages:
The yearly energy savings of one building come to 28000 kWh.
Load on air conditioning cut by 22%.
The rate of tourist satisfaction has raised to 95%.
Cut ticket expenses by 60%.
四, Key breakthroughs in energy-saving technology
1. High precision sensor network
Scheme of deployment:
With a frequency response range of 0-2.5 kHz, three axis accelerometers track mechanical vibration; a temperature sensor array (12 point configuration) models motor thermal field.
With an accuracy of 0.1% the current transformer offers harmonic analysis.
Technical strengths:
The fault diagnosis's accuracy has raised to 99.2%
Predictive maintenance cycle stretched 200 days.
Low energy consumption anomaly recognition period of three minutes
2. edge computing enabling
Setup of hardware:
With 8TOPS computing capability and ARM Cortex-A78 quad core CPU
Set 32GB eMMC storage and enable 15-day historical data local saving.
Enhancement of algorithms:
Lightweight YOLOv8 model for pedestrian detection, with a frame rate of 70FPS
Developing energy consumption prediction models, MAPE＜4%
Support network interruption and data integrity guarantee rate of 99.95%
3. Digital twin uses
Technical structure:
building a three-dimensional computer model of the gate with a 99.5% physical parameter mapping accuracy
create a virtual debugging tool to save on-site debugging time by seventy percent.
Application value: From three weeks to one day, the three-week cycle of energy optimisation has been condensed.
Support multi-condition simulation, energy consumption prediction error 2.5%
Track your whole lifetime carbon footprint.
Vertical-Type Indoor And Outdoor Tripod Turnstile Gate