CN-121995022-A - Seawater desalination effluent quality monitoring method and system

CN121995022ACN 121995022 ACN121995022 ACN 121995022ACN-121995022-A

Abstract

The invention belongs to the technical field of water quality monitoring, and discloses a method and a system for monitoring the quality of sea water desalinated water, wherein the system comprises a monitoring host, at least one pluggable monitoring module, an edge computing gateway and a cloud platform, wherein a main control unit, a model library and a communication interface are arranged in the monitoring host, the monitoring module is installed on a slot of the monitoring host through a standardized mechanical and electrical interface, the monitoring host recognizes the accessed monitoring module and the type thereof through an identity identification chip, and a special analysis model matched with the type is called to process data uploaded by a signal conditioning circuit so as to execute online self-learning optimization of the special analysis model. The invention has the advantages of convenient maintenance, high availability, flexible configuration, strong expandability and high long-term monitoring accuracy.

Inventors

WANG RUCHAO
ZHANG HAO
MA YANQIANG
LU BIAO
WANG DONGLIN
Yuan Dehao
DONG RUIJIAO

Assignees

青岛水务海水淡化设计研究院有限公司

Dates

Publication Date: 20260508
Application Date: 20260123

Claims (10)

1. A method for monitoring the quality of sea water desalinated water is characterized by comprising the following steps, (1) Identification and loading The monitoring host reads the preset identity mark and water quality parameter type information in the monitoring module, and based on the water quality parameter type information, automatically loads or activates a dedicated analysis model matched with the monitoring module from a model library; (2) Adaptive monitoring The exclusive analysis model calculates and fuses the original water quality signals acquired by the monitoring module, and outputs corrected and/or compensated target water quality parameter values; (3) Model optimization When the triggering condition is met, the monitoring host performs online self-learning optimization on the parameters of the exclusive analysis model, and writes back and stores the optimized model parameters to a model library; (4) Fault self-diagnosis and health management The monitoring module monitors the working state of the sensing unit in real time, and when abnormal signals, overrun drift or life early warning are detected, fault codes and health states are reported to the monitoring host, and the monitoring host generates maintenance suggestions and updates the working state of the module according to the reported information.
2. The method for monitoring the quality of desalinated water according to claim 1, wherein the specific content of the content (1) comprises, If the water quality parameter type information corresponds to a first type of direct measurement parameter, loading a corresponding signal standardization processing and temperature compensation model; and if the water quality parameter type information corresponds to the second type indirect deduction parameter, loading a corresponding multi-sensor data fusion soft measurement model or a spectrum analysis inversion model.
3. The method for monitoring the quality of desalinated seawater according to claim 1, wherein the monitoring host triggers on-line self-learning optimization of parameters of the dedicated analysis model according to a preset calibration period, or a received external high-precision calibration command, or based on abnormal fluctuation of the target water quality parameter value, the on-line self-learning optimization in the content (3) comprises, When the triggering condition is met, a movable high-precision analysis instrument serving as a reference is controlled to analyze the current water sample, so that a standard value is obtained; Comparing the standard value with a target water quality parameter value currently output by the exclusive analysis model, and calculating deviation; And iteratively updating the internal parameters of the exclusive analysis model by using the deviation and the corresponding input data through a recursive least square, or Kalman filtering, or neural network back propagation algorithm.
4. The method for monitoring the quality of desalinated water according to claim 1, further comprising the following, Strategy linkage, namely, carrying out communication linkage on the target water quality parameter value or the predicted trend output by the exclusive analysis model and a control system of the sea water desalination process; When the target water quality parameter value exceeds a preset threshold value or the predicted trend is worsened, automatically generating and sending a process adjustment suggestion or a control instruction to a control system of the sea water desalination process, wherein the control instruction comprises at least one of adjusting the pH value of reverse osmosis inflow water, changing the adding amount of a scale inhibitor or starting a membrane cleaning program in advance.
5. A seawater desalination effluent quality monitoring system is characterized by being used for realizing the seawater desalination effluent quality monitoring method according to any one of claims 1-4, and comprising, The monitoring host is internally provided with a main control unit, a model library and a communication interface; At least one pluggable monitoring module connected with the monitoring host; The monitoring module may comprise a processor configured to, A sensing unit for sensing one or more water quality characteristics; a signal conditioning circuit connected with the sensing unit for performing preliminary processing on the original signal, and The identity identification chip stores unique identity identification and measured water quality parameter type information; The monitoring host is configured to identify the accessed monitoring module and the type thereof through the identification chip, call a special analysis model matched with the type to process the data uploaded by the signal conditioning circuit, And performing online self-learning optimization on the proprietary analysis model.
6. A desalinated water quality monitoring system according to claim 5, wherein the monitoring module is connected to the monitoring host via a standardized mechanical-electrical interface, the mechanical-electrical interface comprising, The self-sealing quick fluid connector for realizing water sample diversion is provided with a valve which is automatically opened and closed when the water sample is plugged; Fool-proof electrical connector for realizing power supply and data communication; and the guide rail and the buckle mechanism are used for realizing mechanical locking and alignment.
7. The system for monitoring the quality of desalinated water according to claim 5, further comprising a micro-pretreatment unit and/or a micro-calibration unit; the miniature pretreatment unit is arranged on an upstream flow path of the sensing unit and is used for filtering, stabilizing flow or removing bubbles of the water sample flowing into the sensing unit; And the micro calibration unit is internally stored with standard liquid or calibration gas, and performs automatic periodic calibration or trigger calibration on the sensing unit under the control of the monitoring host.
8. The system for monitoring the quality of desalinated water according to claim 5, further comprising an edge computing gateway, wherein said monitoring host is connected to the cloud platform through said edge computing gateway.
9. The system for monitoring the quality of desalinated water according to claim 5, wherein said sensor unit is any one or a combination of an electrochemical sensor, an optical sensor, an ion-selective electrode, and a micro-spectral probe.
10. A seawater desalination system, which is characterized by comprising a reverse osmosis membrane group, a water production pipeline, a process control system and a seawater desalination effluent quality monitoring system according to any one of claims 5-9; The monitoring module in the seawater desalination outlet water quality monitoring system is arranged on the water production pipeline, and the monitoring host in the seawater desalination outlet water quality monitoring system is in communication connection with the process control system and is used for providing real-time water quality data and/or control advice for the process control system.

Description

Seawater desalination effluent quality monitoring method and system Technical Field The invention belongs to the technical field of water quality monitoring, and particularly relates to a method and a system for monitoring the water quality of sea water desalinated effluent. Background The water quality of the seawater desalination produced water is directly related to water safety and equipment service life, so that real-time, accurate and multi-parameter online monitoring of the seawater desalination produced water is important. The current common monitoring modes mainly comprise two types, namely a type of which a plurality of sensors which are fixedly installed are directly integrated on a pipeline, and a type of which the periodic sampling analysis is carried out by adopting an independent online analyzer. The above-described monitoring method has the following disadvantages, Firstly, once a certain sensor of a fixed integrated sensor system fails or needs to be calibrated, the system often needs to be shut down integrally for maintenance to affect continuous monitoring, and the system is fixed in function and difficult to flexibly increase and decrease monitoring items according to requirements; secondly, whether the sensor or the analyzer is adopted, a data processing model (such as a temperature compensation curve and a spectrum analysis model) of the sensor is usually preset during production, and the later period cannot be effectively adjusted according to factors such as actual water quality change, sensor aging and the like on site, so that long-term monitoring accuracy drifts; finally, most of the monitoring systems and the sea water desalination main control systems are in a simple data reporting relationship, and the intelligent linkage control capability based on the depth analysis is lacking. Based on the reasons, the seawater desalination effluent quality monitoring method and system which are convenient to maintain, flexible to configure, capable of keeping high precision for a long time and capable of making intelligent decisions are developed, and have important practical significance. Disclosure of Invention Aiming at the defects of the prior art, the invention aims to provide a seawater desalination effluent quality monitoring method and a system, which realize convenient maintenance and flexible configuration of a monitoring module through collaborative innovation of hardware pluggable and software self-adaption, and ensure the accuracy and intelligence of long-term operation of the monitoring system through automatic matching and online learning of a model. In order to achieve the above-mentioned technical object, In a first aspect, the invention provides a method for monitoring the quality of sea water desalinated effluent, comprising the following steps, (1) Identification and loading (hardware identification and model loading) The monitoring host reads the preset identity mark and water quality parameter type information in the monitoring module, and based on the water quality parameter type information, automatically loads or activates a dedicated analysis model matched with the monitoring module from a model library; (2) Adaptive monitoring The exclusive analysis model calculates and fuses the original water quality signals acquired by the monitoring module, and outputs corrected and/or compensated target water quality parameter values; (3) Model optimization Triggering the on-line self-learning optimization of the parameters of the exclusive analysis model by the monitoring host according to a preset calibration period, an external calibration instruction or abnormal fluctuation of target parameter values, and writing back and storing the optimized model parameters to a model library; (4) Fault self-diagnosis and health management The monitoring module monitors the working state of the sensing unit in real time, and when abnormal signals, overrun drift or life early warning are detected, fault codes and health states are reported to the monitoring host, and the monitoring host generates maintenance suggestions and updates the working state of the module according to the reported information. By adopting the scheme, the invention can achieve the following effects, The maintenance is convenient and high in availability, namely, through the design of pluggable hardware, when a single monitoring module fails or needs to be calibrated, the single monitoring module can be replaced thermally, the system is not required to be stopped, and the operation and maintenance efficiency and the system availability are greatly improved; The configuration is flexible and the expandability is strong, a user can flexibly select and match different monitoring modules according to the change of the monitoring requirement, and the system automatically identifies and loads the corresponding model, thereby realizing the 'plug and play' and smooth expansion of the function; The system can optimize and