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Sewage Treatment Plant Management Solution

2024-04-26
I. Industry Background

Currently, approximately 80% of domestic wastewater treatment plants in China operate with low automation and informationization levels. Most operational data cannot be efficiently utilized, failing to provide data support for management and decision-making in wastewater treatment plants. To address this, wastewater treatment plants must comprehensively plan their smart infrastructure from aspects such as planning, design, construction, and operation and maintenance (O&M), continuously improving operational management efficiency and safety control capabilities while enhancing the scientificity and forward-looking nature of operational management.


II. Pain Point Analysis

  1. High Energy Consumption: Traditional wastewater treatment plants rely heavily on manual experience to control equipment start/stop, resulting in equipment operating outside efficient ranges. There is a lack of effective monitoring and management tools for power consumption.

  2. Inefficient Chemical Dosing: In core control processes like chemical dosing, traditional plants overly depend on manual experience. Most use fixed-proportion dosing, leading to excessive chemical usage.

  3. Ineffective O&M Management Model: Most wastewater treatment plants suffer from a shortage of specialized personnel and low informatization levels, making it difficult to achieve reduced-staff or unmanned manned operations.

  4. Fragmented Operational Data: Managers cannot grasp key business indicators from a macro perspective, lacking a basis for decision-making.


Sewage Treatment Plant Management Solution


III. Solution
The Innovation Group's wastewater treatment plant management solution aims to achieve cost reduction and efficiency improvement by transforming equipment across all process stages, enabling remote equipment control and comprehensive data integration, and creating rich business application scenarios to support production decisions, management, planning, scheduling, process optimization, fault diagnosis, and data modeling analysis.
3.1 Application Systems3.1.1 Automatic Control Upgrades for Wastewater Treatment Plants
The goal of upgrading is to enhance functions such as data collection, automatic reporting, equipment management, data management, and cost management, improving operational efficiency and automation while achieving energy conservation. By installing PLC control modules on automatic control equipment and adopting an advanced distributed network structure, real-time centralized monitoring and management of the wastewater treatment automatic control system are realized.
3.1.2 Online Monitoring
Centralized management of IoT-enabled collection devices in wastewater treatment plants ensures unified reception and standardized storage of monitoring data. Combined with the platform, this enables integrated supervision of all data, providing data and technical support for comprehensive analysis and application of monitoring results.
3.1.3 Process Simulation
By integrating the process flows of each wastewater treatment plant, a full-plant process simulation model is built to simulate and verify carbon removal, denitrification, and phosphorus removal processes in biochemical tanks. Historical data from the plant continuously calibrates the model to reduce deviations, enabling functions such as effluent prediction and early warning.
3.1.4 Energy Consumption Management
Monitoring indicators for electricity usage at all sites (e.g., current, voltage, active power, reactive power, power factor) are analyzed across multiple time dimensions (annual, monthly, daily, custom), generating trend charts and data tables with year-on-year and month-on-month comparisons. Comprehensive analysis of power consumption data across all plants—including distribution, rankings, and trend analysis—provides intuitive insights for operators to aid decision-making.
3.1.5 Integrated Operations
From an overall O&M perspective, integrated operations monitor all process stages from production, energy consumption, and safety perspectives, providing critical support for resolving equipment, production, and O&M challenges. This enables comprehensive monitoring of production processes, improves scientific management levels, and supports energy-saving decisions.
3.2 Platform Support3.2.1 IoT Monitoring Platform
Addressing the need for centralized management of monitoring data and equipment across multiple IoT network systems, the platform integrates various IoT communication technologies and establishes a protocol library for different vendors and technologies. This enables centralized management of IoT devices, one-stop configuration of communication network parameters, and unified reception/standardized storage of monitoring data—breaking down data silos and providing data/technical support for comprehensive data analysis.
3.3 Hardware Support3.3.1 Level Meters
Used for online 液位 (liquid level) measurement and early warning at key process stages in wastewater treatment plants.
3.3.2 Flow Meters
Used for online flow measurement and early warning at key process stages.
3.3.3 Integrated Water Quality Monitoring Stations
Used for online water quality measurement and early warning at key process stages.
3.3.4 Video Surveillance

Enables real-time monitoring of process facilities and surrounding areas, supporting reduced-staff/unmanned operations.


IV. Solution Highlights

  1. Remote Monitoring: Real-time monitoring of data across all process stages to promptly track operational status.

  2. Efficiency Improvement: Remote control capabilities enhance operational efficiency and reduce human resource costs.

  3. Safety Assurance: Automatic early warning/alarms for abnormal conditions help managers detect hazards and faults in a timely manner, ensuring safe production.

  4. Operational Optimization: Comprehensive integration of real-time monitoring data, combined with data analysis, supports operational optimization and improves the refinement level of production management in wastewater treatment plants.

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