Intelligent management method and system for external cooling circulating cooling water system of converter station

Abstract

The invention discloses an intelligent management method and system for an external cooling circulating cooling water system of a converter station, and the method achieves the precise dosing, automatic pollution discharge and water supplement and abnormal early warning of a circulating water system through a fluorescent tracing technology, multi-parameter online monitoring, intelligent linkage control and data driving optimization, solves the problem of low efficiency of traditional manual management, and improves the management efficiency. And the energy-saving and emission-reducing effects and the system operation stability are obviously improved.

Description

[0001] Invention Title: An Intelligent Management Method and System for a Converter Station External Cooling Circulation Cooling Water System

[0002] Technical Field The present invention relates to the technical field of industrial circulating water treatment, and in particular to an intelligent management method and system for a converter station external cooling circulating cooling water system based on online monitoring and intelligent control. Background Art

[0003] Currently, the external cooling circulating cooling water system of converter stations generally adopts a management mode of manual monitoring and drug addition, which has the following defects:

[0004] 1. Detection lag: The frequency of manual testing is low (about 8 hours / time), and it is impossible to monitor water quality fluctuations in real time, resulting in unreasonable concentration rate control, increased scaling risk or waste of water resources.

[0005] 2. Rough dosing: It is difficult to ensure uniformity of drug concentration by the timed and quantitative dosing method, which may easily lead to drug waste or equipment corrosion and scaling.

[0006] 3. Inefficient management: Water quality data is scattered, lacking real-time early warning and linkage control, and unable to respond to emergencies such as system leakage and sudden changes in water quality.

[0007] In the existing technology, the traditional water treatment system has a low degree of automation, especially the lack of effective means for the concentration detection of phosphorus-free agents and the intelligent control of concentration ratio, and urgently needs intelligent upgrading. Summary of the Invention

[0008] Purpose of the Invention

[0009] It provides a circulating water management method based on real-time monitoring, intelligent control and data-driven, which can realize online detection of water quality parameters, precise addition of chemicals, automatic adjustment of sewage discharge and water replenishment, and abnormal warning, solve the inefficiency problem of traditional management mode, and reduce energy consumption and operating costs.

[0010] Technical Solution

[0011] An intelligent management method for a converter station external cooling circulating cooling water system, characterized by comprising the following steps:

[0012] 1. Multi-parameter real-time data acquisition

[0013] ◦ Real-time monitoring of circulating water quality parameters (pH, ORP, conductivity, turbidity, reagent concentration, corrosion rate) and environmental parameters (temperature, flow rate, liquid level) through online sensors, with a detection frequency of once every 3 seconds.

[0014] ◦ Fluorescence tracer technology is used to monitor the concentration of scale and corrosion inhibitors. The fluorescence signal of the agent molecules is captured by the fluorescence sensor to achieve accurate detection of the concentration of phosphorus-free / low-phosphorus agents (accuracy ±1ppm).

[0015] 1. Data preprocessing and transmission

[0016] ◦ Perform pre-processing such as filtering and calibration on raw monitoring data, and achieve real-time data transmission and storage through the Industrial Internet or cloud platforms (such as edge computing servers), supporting users to access remotely through on-site terminals, mobile apps, or PCs.

[0017] 1. Intelligent control decision-making

[0018] ◦ Intelligent dosing control:

[0019] ▪Based on the real-time data of chemical concentration, the controller automatically adjusts the start and stop of the scale and corrosion inhibitor dosing pump to maintain the chemical concentration within the target range (such as the set value ±1ppm).

[0020] ▪According to the pH monitoring results, the sulfuric acid dosing pump is controlled to adjust the water pH to the target range (accuracy ±0.1).

[0021] ▪Adopting the alternating dosing mode of double dosing boxes, oxidizing and non-oxidizing fungicides are automatically added according to the preset cycle to achieve microbial growth inhibition.

[0022] ◦Automatic sewage discharge and water replenishment control:

[0023] ▪The ratio of the conductivity of the circulating water to the conductivity of the make-up water is calculated in real time to obtain the concentration ratio. When the conductivity exceeds the set threshold, the drain valve is automatically opened. The liquid level is monitored during the drain process. When it is lower than the set value, the make-up valve is activated to replenish water to maintain the liquid level and conductivity within the target range.

[0024] ◦Abnormal warning:

[0025] ▪Establish a multi-dimensional early warning model. When water quality parameters (such as corrosion rate > 0.1mm / a, turbidity > 20NTU) or equipment status (such as dosing pump failure) are abnormal, alarm information will be pushed via SMS, WeChat or platform, and the DCS system will be linked to trigger an emergency response.

[0026] 1. Data-driven optimization management

[0027] Generate daily and monthly water quality reports and trend analysis charts based on historical data, allowing users to trace and optimize indicators such as concentration rate, chemical consumption, and water consumption through a data visualization interface.

[0028] ◦ Establish an energy efficiency assessment model for the circulating water system and optimize dosing strategies and discharge frequency through machine learning algorithms to achieve energy conservation and emission reduction goals (e.g., increase concentration rate by 30% and reduce chemical dosage by 20%).

[0029] System Architecture

[0030] likeFigure 1 As shown, the system includes:

[0031] •Sensor layer: fluorescent tracer concentration sensor, pH / ORP sensor, conductivity meter, turbidity meter, corrosion rate monitor, etc.

[0032] •Control layer: intelligent controller, dosing pump (scaling and corrosion inhibitor, sulfuric acid, bactericide), electric drain valve and water supply valve.

[0033] •Data layer: Edge computing server or cloud platform to realize data storage, analysis and remote monitoring.

[0034] •Application layer: human-computer interaction interface, mobile terminal APP, supporting parameter setting, early warning management and energy efficiency analysis.

[0035] 3. Innovation

[0036] 1. Multi-parameter linkage control: Integrate water quality, environment and equipment status data to establish a "monitoring-analysis-control" closed loop to achieve dynamic coordination of dosing, sewage discharge and water replenishment.

[0037] 2. Intelligent early warning and management: Real-time data distribution and multi-channel early warning based on the Industrial Internet improve system response speed and reduce the cost of manual intervention.

[0038] 3. Quantitative assessment of energy conservation and emission reduction: Through data-driven optimization strategies, we can achieve increased concentration rates and precise control of chemical dosage.

[0039] 4. Beneficial Effects

[0040] 1. Improved detection efficiency: The frequency of water quality parameter detection has been increased from 8 hours / time to real-time monitoring, and the abnormal response time has been shortened to minutes.

[0041] 2. Precise control of reagents: The fluctuation range of reagent concentration is reduced to ±1ppm, and the dosage is reduced by 20%-30%, reducing the risk of equipment corrosion and scaling.

[0042] 3. Water conservation: Through intelligent control of the concentration ratio, fresh water consumption and sewage discharge are reduced by 15%-25%.

[0043] 4. Reduced management costs: Reduce manual testing and dosing operations, reduce labor intensity, and support the integration of the entire plant's intelligent management platform. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 This is the system architecture and method flow chart of the present invention DETAILED DESCRIPTION

[0045] Taking the external cooling water circulation system of a converter station as an example, the specific implementation steps are as follows:

[0046] 1. Install the online sensor group, deploy the intelligent controller and cloud platform, and complete the system integration.

[0047] 2. Set the target concentration of the reagent (such as 50ppm for scale and corrosion inhibitor), pH control range (7.5-8.5), and conductivity threshold (<1500μS / cm).

[0048] 3. During system operation, when the fluorescence sensor detects that the drug concentration has dropped to 48ppm, the controller automatically starts the dosing pump and stops when the concentration rises back to 52ppm.

[0049] 4. If the conductivity exceeds 1500μS / cm, the drain valve will be automatically opened and the liquid level will be monitored at the same time. When it is lower than the set value, the water supply valve will be opened to maintain system stability.

[0050] 5. When the corrosion rate is greater than 0.1mm / a for 30 consecutive minutes, the system will push an alarm via SMS, prompting operation and maintenance personnel to check for equipment hazards.

Claims

1. An intelligent management method and system for the external cooling circulating cooling water system of a converter station, characterized in that include: 1) Real-time collection of circulating water quality parameters and environmental parameters through online sensors; 2) Monitor drug concentration based on technology and achieve intelligent dosing through control; 3) Control sewage discharge and water replenishment based on conductivity and liquid level data; 4) Establish an abnormal warning model and release alarm information through multiple channels.

2. The method according to claim 1, characterized in that The water quality parameters include pH, ORP, conductivity, turbidity, reagent concentration, and corrosion rate, and the detection frequency is not less than once every 3 seconds.

3. The method according to claim 1, characterized in that The intelligent dosing control includes automatic dosing of scale and corrosion inhibitors, sulfuric acid and bactericides, wherein the bactericide is added in a double-tank alternating dosing mode.

4. A system for implementing the method according to any one of claims 1 to 3, characterized in that It includes a sensor layer, a control layer, a data layer and an application layer. The sensor layer includes a fluorescent tracer drug concentration sensor, the control layer includes an intelligent controller and actuators (dosing pump, sewage valve, water supply valve), and the data layer supports real-time data storage and remote transmission.

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