Components
Siemens S7 - 200 SMART PLC + Fanyi Touch Screen + FBox IoT Module + ABB Inverter
Core Advantages
Unmanned & Fully Automatic Operation
Remote Monitoring via Mobile & Computer
Fault Alarms with SMS Alerts – Effortless & Efficient
Core Functions
1. Self - Diagnostic & Cost Reduction
The built - in self - diagnostic function minimizes manual on - site inspections, directly lowering O&M labor costs.
2. Automated Control System
Precise Logic Control: Leverages the Siemens S7 - 200 SMART PLC for stable, high - precision logic control, ensuring the smooth operation of pump units under various sewage conditions.
Energy - Efficient Speed Regulation: The ABB Inverter dynamically adjusts the motor speed based on real - time sewage level feedback. This “on - demand operation” improves efficiency while cutting unnecessary energy waste.
Intuitive On - Site Management: The Fanyi Touch Screen (HMI) provides a visual, user - friendly interface for on - site staff to monitor operations and adjust parameters (e.g., speed, pressure thresholds) intuitively.
3. Remote Monitoring & IoT Integration
Cloud - Connected Data Transmission: The FBox IoT Module enables real - time data sync to cloud platforms, supporting remote access via PC/web or mobile apps.
Anywhere, Anytime Oversight: Operators can check the pump status (running/stopped), real - time flow rates, historical fault logs, etc., from any location. Timely intervention is guaranteed even off - site.
4. Intelligent Alarm System
Multi - Fault Detection: Automatically identifies anomalies such as pump blockages, power outages, or high water levels.
Instant SMS Alerts: Triggers immediate SMS notifications to maintenance teams upon fault detection, minimizing downtime and preventing sewage overflow risks.
5. Energy - Saving & Low Maintenance
ABB Inverter Efficiency: By optimizing the pump speed to match actual sewage loads, the power consumption is reduced by 20–30% compared to traditional fixed - speed systems.
Low Wear & Tear: Smooth speed adjustments reduce mechanical shocks on pumps/motors, extending component lifespans and cutting long - term maintenance costs.
Healthcare Facility Project: Shenzhen Nanshan Hospital
PLC Control Cabinets in Hospital Applications: Critical Functions & Implementations
Core Application Scenarios
A. Life Support Systems
Medical Gas Control
Function: Regulates the pressures of oxygen (O2), nitrous oxide (N2O), and vacuum systems within the range of 0.4–0.55 MPa, ensuring pressure fluctuations remain below 1%.
PLC Role: Monitors pipeline pressures using analog input signals (4 - 20 mA). Triggers alarms if pressure thresholds (as specified in EN ISO 7396 - 1) are violated.
Safety: Enables automatic shutoff during fire alarms to comply with NFPA 99 standards.
HVAC for OR/ICU
Precision Control: Maintains air cleanliness at ISO Class 5, with temperature ranging from 20 - 24 °C and relative humidity (RH) between 40 - 60%.
PLC Logic: Implements variable frequency drive (VFD) - driven laminar flow control, maintaining air velocity at 0.25 - 0.35 m/s. Monitors differential pressure (DP) of HEPA filters.
B. Power Management
Critical Load Transfer
Implementation: Automatically starts the genset within less than 10 seconds when a grid failure occurs, in line with UL 1008 requirements.
PLC Logic: Utilizes a dual - source automatic transfer switch (ATS) with closed - transition switching.
Harmonic Mitigation
Solution: PLC - controlled active filters reduce harmonics generated by MRI and CT equipment to less than 5% total harmonic distortion (THD).
C. Laboratory Automation
Biosafety Cabinets
Control: Maintains a face velocity of 0.5 m/s while dynamically adjusting the sash position.
Data Logging: Stores operation records that comply with 21 CFR Part 11.
Specialized Control Requirements
EMC Considerations
Shielding
Enclosures compliant with MIL - STD - 461G are used in MRI zones to ensure electromagnetic compatibility (EMC).
Noise Immunity
Optical isolation is employed for ECG/EEG equipment to meet IEC 60601 - 1 - 2 noise immunity requirements.
Redundancy Design
Architecture
Uses dual hot - standby CPUs (SIL 3) for dialysis machines to ensure operational continuity.
Failsafe
Incorporates watchdog timers with a failover time of less than 100 ms.
Operational Benefits
Patient Safety
Prevents errors in the mixing of anesthetic gases through interlocked valve control.
Energy Efficiency
Achieves a 30% reduction in HVAC energy consumption through occupancy - based ventilation strategies.
Maintenance Optimization
Employs predictive algorithms to detect pump bearing wear via vibration fast Fourier transform (FFT) analysis.
Implementation Examples
Department
PLC Model
Key I/O Configuration
OR Suites
Siemens S7 - 1500
16 AI (PT100), 32 DO (24 VDC)
Pharmacy
Allen - Bradley CompactLogix
8 - axis servo control
Central Sterile
Omron NJ501
EtherCAT - connected SCARA robots
Qingyuan Waterworks Project: Automated Control Systems Overview
Water Intake Control
Auto pump start/stop: Uses water level sensors to prevent source depletion or pump idling.
Flow regulation: PLC adjusts pump speed/valve openings to match varying supply demands.
Water Treatment Control
Coagulation & sedimentation: Auto-adjusts coagulant dosage (based on turbidity/flow) and schedules sludge discharge.
Filtration: Triggers backwashing (by pressure/time) to maintain water quality.
Disinfection: Precise dosing (chlorine/hypochlorite) with residual chlorine monitoring for compliance.
Clear Water & Supply Control
Tank level management: Real-time monitoring adjusts inlet valves/pumps to stabilize levels.
Variable frequency pumps: PLC modulates speed via network pressure/consumption data for energy-efficient, constant-pressure supply; coordinates pump switching.
Pipe Network & Equipment
Monitoring & scheduling: Tracks pressure/flow at key points; alerts on anomalies (e.g., overpressure) and enables remote valve adjustments.
Fault handling: Real-time equipment monitoring (current, temperature) triggers alarms; auto-switches to standby systems during faults.
Data & Efficiency
Data management: Records water volume, quality, and equipment data for trend analysis.
Energy optimization: Adjusts equipment operation (pumps, fans) by demand peaks; uses algorithms (e.g., PID) to minimize chemical/energy waste.