Achieve remote real-time monitoring of key parameters such as pH value, conductivity, and dissolved oxygen (≤ 1s data refresh frequency), establish a three-level early warning mechanism (early warning/alarm/emergency shutdown), dynamically inhibit the scale formation rate by ≥80%, reduce oxygen The risk of corrosion reaches more than 95%
Integrated solution for heating boiler water online water quality analysis system
--Intelligent water quality management and energy efficiency optimization system
1. Positioning of core functions
Full time domain water quality monitoring
RealizepHRemote real-time monitoring of key parameters such as value, conductivity, and dissolved oxygen (≤1sLevel data refresh frequency)
Establish a three-level early warning mechanism (early warning/Call the police/Emergency shutdown) to dynamically inhibit the fouling rate≥80%, reduce the risk of oxygen corrosion95%Above
Intelligent dosing control
Based onPID+AIComposite algorithm accurately adjusts the dosage of scale inhibitor and oxygen scavenger, saving agent costs≥15%
Energy efficiency optimization management
through water quality-Dynamic thermal efficiency model to improve boiler heat conduction efficiency0.5-2.3percentage points
2. Monitoring system architecture
monitoring parameters | Sensor specifications | protection mechanism |
pHValue | Antimony electrode sensor (range0-14pH，±0.05Accuracy) | Automatic backwashing anti-fouling module |
Electric conductivity | Four-electrode sensor (0-2000μS/cm，±1%FS) | Temperature compensation (-20℃~150℃) |
dissolved oxygen | ppbLevel sensor (0-200ppb) | Nitrogen purging protection unit |
totalhardness | Titration colorimetry (0-534ppm CaCO3) | Anti-interference compensation algorithm |
phosphate/silicate | Colorimetric Online Analyzer (0-50mg/L，±5%RD) | Multi-wavelength optical self-calibration system |
Sensor networking solution: AdoptModbus RTU/EthernetDual protocol redundant communication, supportISO/IEC 61131-3standard data encapsulation
3. System composition and key technologies
1. sampling preprocessing unit
Multi-level joint control pretreatment system
Three-level filtration system (100μm→20μm→5μmgradient filtration)
Dynamic constant current device (flow control accuracy±2% @ 0.5-3L/min)
Tubular heat exchanger (cooling high temperature water sample to25±2℃)
High reliability power module
Dual peristaltic pump redundant configuration (MTBF≥20,000hours)
With pressure adaptive adjustment function (0.2-0.6MPaAdaptive working conditions)
2. Intelligent analysis unit
FiskeFSOTCO 6000HMmulti-parameter analyzer
Embedded multicore processors
Support16Channel parallel data acquisition (24bit ADCResolution)
Integrated self-diagnosis function (sensor health monitoring, calibration cycle reminder)
3. closed-loop control unit
PLCIntelligent dosing system
Build a multivariate control model (water quality parameters+flow+Temperature coupled control)
Dosing accuracy:±2%Set point, support pulse/Two consecutive dosing modes
Multi-modal alarm system
Sound and light alarm (120dBbuzzer+three-colorLEDTower lamp)
Graded SMS push (responsible person→Supervisor→Three-level management response)
4. data management platform
localHMIinterface
10.1inch industrial touch screen
Dynamic process flow chart display supports historical data traceability (≥5Annual storage)
Cloud Monitor Platform
Based onEMCPIoT Cloud platform，The platform supports seamless access across multiple users and devices.
Intelligent analysis functions:
Prediction of scaling trend (ARIMATime series model)
Energy efficiency analysis report (automatically generated daily reports/weekly/Monthly energy efficiency report)
Mobile terminalAPPSynchronous access (AndroidPlatform support)
4. Highlights of technical advantages
Adaptive optimal control
usingLSTMNeural network dynamically learns boiler operating characteristics to realize drug dosing-Nonlinear optimization of water quality parameters
Full life cycle maintenance
Ultrasonic self-cleaning probe (40kHzHigh-frequency oscillation, dirt removal rate≥ 90%)
Support remote firmware upgrades (FOTAtechnology)
Extensible architectural design
reservedRS485/CANBus expansion interface, compatible with heavy metal monitoring modules (such as online copper/Iron analyzer)
Modular structural design (single module replacement time≤ 15minutes)
5. Typical application scenarios
central heating system:Applicable to30-100MWSmart water renovation of district heating boilers
Industrial steam system:Meet the needs of the food processing and pharmaceutical industriesGMPStandard steam quality control
Energy station cluster:Support multi-boiler room data networking management (maximum32Node networking)
6. Fisker's Solution Value Matrix
dimension | traditional scheme | Innovation points of this plan |
Monitoring dimension | Single parameter monitoring | multi-parameter collaborative analysis |
Control mode | manual experience adjustment | Digital twins drive intelligent decision-making |
scalability | closed architecture | Modular extensible design |
energy efficiency management | Passive fault handling | predictive maintenance+Proactive energy efficiency optimization |
This program is built"perception-Analysis.-decision-making-Execution"The complete intelligent closed loop realizes refined management of the boiler water system throughout the life cycle, reducing unplanned downtime compared with traditional solutions60%Above, comprehensive operation and maintenance costs have dropped25-40%.
