Intelligent Process Analysis and Intelligent Control

I. Product Introduction

The process intelligent analysis and intelligent control system isa core application module of thevisualized smart platform for water treatment plants. By integratingwater treatment process parametersSpecific plans can be formulated around objectives such as process stability, equipment operating efficiency, energy consumption management, anomaly warning, or chemical consumption.continuous analysis of the water treatment process

, helping operators understand process conditions, identify abnormal changes, and optimize equipment operation and process control strategies.The system can combinewater treatment process models2. Data Management Layer AI technologyto analyze the backwash system, pump system, chemical dosing system

and other key treatment links, helping management personnel discover operational problems, improve control strategies, and, while meeting process conditions and safety requirements, achieve automatic execution of some control strategies.4. Optimization Decision LayerVII. Obtain a Customized Plan1. Data Collection LayerSCADA, online monitoring equipment, and on-site actuators.PLC is responsible for basic control, interlock protection, and key control logic of on-site equipment; the intelligent analysis module is responsible for process analysis, anomaly identification, optimization suggestions, and calculation of validated control strategies. The two work collaborativelyto gradually develop water treatment from traditional fixed-logic control

toward data-driven refined operation optimization.The specific analysis models, control scope, and degree of automationare determined according to the water treatment process, on-site instrument configuration

, equipment conditions, and project requirements.

II. Main Functions

1. Process Operating Status AnalysisSpecific plans can be formulated around objectives such as process stability, equipment operating efficiency, energy consumption management, anomaly warning, or chemical consumption.comprehensive analysis of real-time and historical data generated in the

water treatment process

Correlation analysis between process parameters and energy consumption changes Main analysis contents include:

Correlation analysis between process parameters and energy consumption changes Analysis of influent flow and load changes

Correlation analysis between process parameters and energy consumption changes Analysis of operating parameters of coagulation and sedimentation unitslTrend analysis of key process parameters such as turbidity,

Correlation analysis between process parameters and energy consumption changes , and residual chlorine

Correlation analysis between process parameters and energy consumption changes Comparison of influent and effluent water quality data

Correlation analysis between process parameters and energy consumption changes Correlation analysis between equipment operating status and process parameters

l

Comparison of operating performance in different time periods

Through comprehensive analysis of multiple process data, assist in identifying operating fluctuations, parameter anomalies, and potential process problems, providing a basis for operational adjustments.2. Anomaly Identification and Intelligent Early WarningVI. System Application Value

executes them according to established control logic, safety interlocks, and permitted ranges.

Correlation analysis between process parameters and energy consumption changes Main functions include:

Correlation analysis between process parameters and energy consumption changes Identification of process parameter exceedances

Correlation analysis between process parameters and energy consumption changes Anomaly analysis of parameter change trends

Correlation analysis between process parameters and energy consumption changes Correlation analysis between equipment operating anomalies and process changes

Correlation analysis between process parameters and energy consumption changes Alerts for abnormal fluctuations in key indicators

Correlation analysis between process parameters and energy consumption changes Classification and priority management of alarm information

l

Recording and historical tracing of abnormal eventsWhen sufficient data and validated analysis models are available, complex parameter correlations and potential anomalies can be further identified. Early warning results are used to assist judgment and cannot directly replace online water quality testing, laboratory testing, or the process judgment of professional personnel.

3. VI. System Application ValueThe filter backwash system is an important energy-consuming link in the water treatment process.The platform can combine head loss, influent load, fan operating status,backwash equipment parametersVI. System Application Value

executes them according to established control logic, safety interlocks, and permitted ranges.

Correlation analysis between process parameters and energy consumption changes Main functions include:

Correlation analysis between process parameters and energy consumption changes Analysis of filter head loss change trends

Correlation analysis between process parameters and energy consumption changes Statistics on backwash fan operating status and operating time

Correlation analysis between process parameters and energy consumption changes Correlation analysis between backwash water volume and process parameters

Correlation analysis between process parameters and energy consumption changes Comparison of backwash strategies under different operating conditions

Correlation analysis between process parameters and energy consumption changes Recommendations for backwash fan operation combinations and variable-frequency adjustment

l

Comparison of backwash operation effectiveness and energy consumption indicatorsWhen corresponding instruments, variable-frequency equipment, and control interfaces are available, the fan operating frequency or related setpoints can be automatically adjusted according to validated control strategies.Backwash optimization needs to consider the filter process characteristicsVI. System Application Value

and cannot determine all control strategies based solely on a single head loss value

.4. Pump and Conveyance System OptimizationThe system combines liquid level, flow, equipment status, operating time, and energy consumption data to analyze

executes them according to established control logic, safety interlocks, and permitted ranges.

Correlation analysis between process parameters and energy consumption changes Main functions include:

Correlation analysis between process parameters and energy consumption changes Statistics on pump operating status and operating time

Correlation analysis between process parameters and energy consumption changes Analysis of liquid level and flow changes

Correlation analysis between process parameters and energy consumption changes Analysis of operating combinations of multiple pumps

Correlation analysis between process parameters and energy consumption changes Auxiliary configuration of standby pump switching strategies

Correlation analysis between process parameters and energy consumption changes Analysis of variable-frequency operation and conveyance efficiency

lThrough comprehensive analysis of treatment effect and energy consumption indicators, help management personnel find more reasonable operating modes while meeting treatment requirements.When on-site equipment capacity and process requirements are met, validated operating strategies can be applied to the

PLC

control system to optimize pump start/stop, operating combinations, or variable-frequency setpoints.,For coagulation, flocculation,

executes them according to established control logic, safety interlocks, and permitted ranges.

Correlation analysis between process parameters and energy consumption changes Main functions include:

Correlation analysis between process parameters and energy consumption changes Correlation analysis between dosing amount and influent flow

Correlation analysis between process parameters and energy consumption changes Statistics on chemical consumption

Correlation analysis between process parameters and energy consumption changes Comparison of water quality parameters and dosing strategies

Correlation analysis between process parameters and energy consumption changes Monitoring of dosing equipment operating status

Correlation analysis between process parameters and energy consumption changes Abnormal alerts for chemical consumption

l

Recommendations for adjusting dosing setpoints2. Data Management LayerActual chemical dosing strategies should be based on water quality characteristics, process conditions, and treatment effect verification, avoiding directly using unvalidated

AI

calculation results as automatic dosing instructions.6. Process Parameter Optimization and Control Strategy ManagementThe system can

executes them according to established control logic, safety interlocks, and permitted ranges.

Correlation analysis between process parameters and energy consumption changes , equipment capacity, operating constraints, and historical operating performance.

Correlation analysis between process parameters and energy consumption changes l

Correlation analysis between process parameters and energy consumption changes l

Correlation analysis between process parameters and energy consumption changes l

Correlation analysis between process parameters and energy consumption changes l

Correlation analysis between process parameters and energy consumption changes l

Recording of strategy adjustments and effect evaluationThrough comprehensive analysis of treatment effect and energy consumption indicators, help management personnel find more reasonable operating modes while meeting treatment requirements.Enabling, disabling, and permission management of control strategies

For projects requiring automatic adjustment, the system can send confirmed control parameters or optimization instructions to the on-site control system, where

PLC

executes them according to established control logic, safety interlocks, and permitted ranges.

Correlation analysis between process parameters and energy consumption changes The system combines and analyzes process operation data, treated water volume, equipment operating status, and energy consumption data to assist in evaluating the impact of operating strategies on treatment effect and energy consumption.

Correlation analysis between process parameters and energy consumption changes l

Correlation analysis between process parameters and energy consumption changes l

Correlation analysis between process parameters and energy consumption changes l

Correlation analysis between process parameters and energy consumption changes l

Correlation analysis between process parameters and energy consumption changes l

Identification of abnormal operating efficiency

l

Tracking of energy-saving optimization effectsThrough comprehensive analysis of treatment effect and energy consumption indicators, help management personnel find more reasonable operating modes while meeting treatment requirements.8. Automatic Control and Closed-Loop Optimization

When the project has complete on-site detection, control equipment, communication interfaces, and safety protection conditions, intelligent analysis results can be combined with the

PLC control system to form a closed-loop process from data collection and analysis calculation to control execution and effect feedback.Typical process:verify permissions and safety conditions → PLC/SCADA verify permissions and safety conditions → verify permissions and safety conditions → generate optimization strategy → verify permissions and safety conditions → PLC

executes control → feedback operating results.

It can be applied to

backwash control, pump operation optimization, dosing control

and other process-validated scenarios.VII. Obtain a Customized PlanIII. Typical Application Scenarios1When data conditions permit, assist in optimizing the operation of fans, pumps, and other equipment to reduce unnecessary energy consumption. Municipalwater treatment plants

:VII. Obtain a Customized Planwater intake load, coagulation and sedimentation, filtration, and sludge dischargeWhen data conditions permit, assist in optimizing the operation of fans, pumps, and other equipment to reduce unnecessary energy consumption. 2

,VII. Obtain a Customized Plan:When data conditions permit, assist in optimizing the operation of fans, pumps, and other equipment to reduce unnecessary energy consumption. 3

,VII. Obtain a Customized Plan:When data conditions permit, assist in optimizing the operation of fans, pumps, and other equipment to reduce unnecessary energy consumption. 4

,

Multi-station water supply projects

:4. Optimization Decision LayerVII. Obtain a Customized Plan1. Data Collection LayerIncludes PLC,SCADA, level gauges,

flow meters, turbidity meters,

pH

meters

, online water quality monitoring equipment, power metering equipment, and other on-site data sources.2. Data Management LayerResponsible for organizing, storing, and correlating real-time data, historical data, equipment status, and process operation records, providing a data foundation for analysis models.

3. Process Analysis Layer

Configure process rules, statistical analysis, anomaly identification, control models, or

AI

Implement permitted control actions through4. Optimization Decision LayerGenerate operation suggestions, setpoint suggestions, or validated control strategies according to process objectives and operating constraints, and record strategies and their execution.

5. On-Site Execution Layer

Implement permitted control actions through PLC, variable-frequency drives, dosing equipment, and other actuators, and feed back equipment operating status and process data.

6. Monitoring and Management Layer

Display analysis results and operating effects through

SCADA screens, trend curves, alarm interfaces, and 3D digital twin scenarios.V. Customized Services

Customized by Water Treatment Process

According to

conventional water treatment, advanced treatment, or other actual processes

, determine the key parameters that can be analyzed and the applicable optimization scenarios.

Customized by On-Site Equipment

Combined with fan, pump, variable-frequency drive, dosing system, and online instrument configuration, determine the implementable control scope.

Customized by Data Foundation

According to historical data completeness, sensor accuracy, data sampling frequency, and communication conditions, evaluate the applicability of analysis models.

Customized by Degree of Automation

Different methods such as operation analysis and recommendations, execution after manual confirmation, or implementation of automatic closed-loop control when conditions are met can be adopted. Customized by Project ObjectivesSpecific plans can be formulated around objectives such as process stability, equipment operating efficiency, energy consumption management, anomaly warning, or chemical consumption.VI. System Application Value

Improve process visibility: Comprehensively analyze multiple process data to help operators understand

the water treatment process more fully.Assist in anomaly identification:

Promptly discover parameter changes and equipment operating anomalies, and support troubleshooting. Optimize equipment operation:

Provide reference operating strategies for links such as backwashing, pumps, and dosing

. Support energy saving and consumption reduction:

Combine treated water volume, equipment status, and energy consumption data to identify optimization space.

Improve management efficiency:Record analysis results, control strategies, and operating feedback in a unified manner for easy tracking and evaluation.Support continuous optimization:Use historical data and actual operating effects to gradually improve process analysis and control strategies.VII. Obtain a Customized PlanIf you need to build awater treatment plant process intelligent analysis and intelligent control system

,

Guangdong Youkong Intelligent Engineering Technology Co., Ltd is a Chinese National High-Tech Enterprise with many years of experience in the water conservancy and water services sector, specialising in the engineering implementation of Internet of Things (IOT) technology in water conservancy projects and municipal water services.
The company provides control systems and smart platforms for three key sectors: water conservancy, wastewater treatment and water treatment plants. In the water conservancy sector, its solutions encompass the automation of sluice gates and pumping stations, water and rainfall monitoring, dam safety monitoring, remote sensing dynamic monitoring and standardised unmanned management; in the wastewater and water treatment sectors, they cover plant-wide PLC control, SCADA centralised monitoring, intelligent chemical dosing and equipment operation and maintenance management.
With control as its foundation and digital twins as its direction. The company’s core products include PLC control cabinets, gate LCU control cabinets, pumping station LCU control cabinets and SCADA central control systems. We have also independently developed 3D modelling software, GIS mapping software and AI modelling software. Building upon this foundation, we have created a smart water resources digital twin platform that integrates the Internet of Things (IoT), artificial intelligence and AI simulation technologies to consolidate dispersed engineering data into a single visualised, computable and early-warning-capable map.
From site survey to final acceptance, we provide a one-stop delivery service. We offer our clients a full-chain service covering preliminary surveys, detailed design, equipment supply, project implementation and final acceptance. Every project is delivered in accordance with verifiable standards.
Safeguarding engineering safety through technology and empowering urban management with intelligence. This is our starting point and the reason for our continued investment in research and development.