Algae water purification water quality guarantee system

Abstract

The invention relates to an algal water purification water quality guarantee system, which comprises an upstream algal water input and sample access unit, which is used for carrying out input, flow regulation and steady flow buffering on an algal water sample; the water quality multi-parameter dynamic monitoring and intelligent evaluation and judgment unit is used for monitoring water quality indexes and carrying out intelligent grade evaluation and pollution risk judgment on water quality states; the automatic medicament adding and intelligent control unit is used for selecting a corresponding medicament type according to intelligent grade evaluation and pollution risk judgment, calculating the medicament adding amount and automatically controlling accurate medicament adding; and the effluent quality rechecking and circulating reflux control unit is used for carrying out water quality rechecking detection before the effluent is discharged, and triggering a reflux control mechanism when the water quality does not reach the standard. According to the invention, a whole-process, multi-link and closed-loop water quality control and safety guarantee system is constructed, systematic treatment of dynamic monitoring, risk assessment, intelligent dosing, effluent review and circulating reflux of algae water treatment is realized, and the water quality purification effect and the system operation safety and stability are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of water environment management and ecological restoration, and in particular to a water quality assurance system for purifying algae water. Background Art

[0002] In recent years, with the intensification of eutrophication, numerous natural and artificial water bodies, including lakes, reservoirs, and rivers, have been plagued by frequent outbreaks of cyanobacteria and algal blooms. These blooms not only severely damage aquatic ecosystems but also can produce harmful substances such as microcystins, posing a serious threat to drinking water safety, the health of the aquatic ecosystem, and the safety of residents. Therefore, the efficient and safe management and control of algal blooms in water bodies has become a research hotspot and a practical challenge in the field of water environmental management.

[0003] In existing technologies, treatment measures for algae in water bodies mainly include physical salvage, plankton suppression, ecological restoration, chemical control and other methods. However, the overall treatment process generally has the following problems: (1) The lack of a complete dynamic water quality monitoring mechanism makes it impossible to realize real-time perception and status analysis of algae pollution characteristics, resulting in delayed response of control measures and unstable control effects; (2) There is a lack of intelligent risk assessment and water quality grade determination mechanisms based on multi-parameter monitoring results. The treatment process relies on manual experience or fixed patterns and lacks data-driven precise control measures. (3) The automated dosing system is not perfect, and the dosing process cannot dynamically adapt to changes in water quality, which can easily lead to problems such as insufficient or excessive use of chemicals, resulting in high treatment costs or the risk of secondary pollution; (4) There is a lack of effluent water quality review and discharge safety control measures. A complete discharge water quality review mechanism and a return reprocessing control process for water bodies exceeding the standard have not been established, posing a water quality safety hazard. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to overcome the deficiencies in the existing technology and provide an algae water purification water quality assurance system that integrates multi-parameter water quality dynamic monitoring, water quality grade assessment, intelligent reagent addition, effluent review and reflux reprocessing, to achieve full-process intelligent control and ecological safety assurance of the algae water purification process, and effectively improve the treatment effect and operation management level of water environment treatment projects.

[0005] The present invention is achieved through the following technical solutions: A water quality assurance system for algae water purification, comprising: The upstream algae water input and sample access unit is located in the algae water input buffer zone and is used to input algae water samples from upstream, regulate flow, and provide flow stabilization buffering. The water quality multi-parameter dynamic monitoring and intelligent assessment and judgment units are located in the algae water input buffer zone, the dosing control zone, and the effluent detection zone. They are used to monitor the water quality indicators in the algae water and conduct intelligent grade assessment and pollution risk assessment of the water quality status of the algae water. The automatic drug dosing and intelligent control unit is located in the drug dosing control area. It performs intelligent grade assessment and pollution risk determination based on the water quality of the algae water, selects the appropriate drug type, dynamically calculates the drug dosage, and automatically controls the dosing equipment for precise drug dosing. The effluent water quality review and circulation reflux control unit is located in the effluent detection area. It is used to conduct water quality review and detection before the effluent is discharged to determine whether the effluent meets the standards. When the effluent water quality does not meet the standards or there is a risk of exceeding the standards, the reflux control mechanism is automatically triggered.

[0006] According to the above technical solution, preferably, the water quality multi-parameter dynamic monitoring and intelligent evaluation and judgment unit includes an algae fluorescence sensor, an algae toxin online detector, a dissolved oxygen DO sensor, a pH sensor, an electrical conductivity EC sensor, an oxidation-reduction potential ORP sensor, a turbidity meter, and an automatic analyzer for total nitrogen TN and total phosphorus TP.

[0007] According to the above technical solution, preferably, the water quality multi-parameter dynamic monitoring and intelligent assessment and judgment unit includes a water quality index change rate dynamic model for judging the change speed and development direction of water pollution indicators. Ri(t)=[Ci(t)-Ci(t-Δt)] / Δt Among them, Ri(t) is the rate of change of one of the water quality indicators, Ci(t) is the indicator concentration at time t, and Δt is the sampling interval.

[0008] According to the above technical solution, preferably, the water quality multi-parameter dynamic monitoring and intelligent assessment and judgment unit includes a multi-index weighted comprehensive evaluation model for quantitatively assessing the water quality of algae water. Qs(t)=ΣWi×Xi′(t) Among them, Qs(t) is the comprehensive water quality score, Wi is the weight coefficient of the i-th indicator, which is set according to the importance of the indicator and the sensitivity of the water environment, and Xi′(t) is the standardized result of the i-th indicator.

[0009] According to the above technical solution, preferably, the water quality of the algae water is intelligently evaluated and the pollution risk is determined based on the comprehensive water quality score Qs(t). When Qs(t) is lower than the inferior threshold, the automatic agent addition and intelligent control unit are automatically linked to start mandatory treatment measures, or the effluent water quality review and circulation return control unit are linked to start the water return re-processing mechanism.

[0010] According to the above technical solution, preferably, the automatic drug dosing and intelligent control unit includes a risk-triggered drug dosing control mechanism and a basic maintenance drug dosing control mechanism.

[0011] According to the above technical solution, preferably, in the risk-triggered dosing control mechanism, when the water quality index in the algae water exceeds the risk warning threshold, the directional drug addition control process is started; in the basic maintenance dosing control mechanism, the basic dosage M_base=M_ref×k1×k2, wherein M_ref is the reference single dosage benchmark of the drug, which is set according to the design or experimental experience value, k1 is the water quality safety score correction coefficient, which is related to the water quality grade, and k2 is the water quality change rate correction coefficient, which is related to the average change rate of the water quality index Ri_avg(t).

[0012] According to the above technical solution, preferably, in the effluent water quality review and circulation reflux control unit, the water quality indicators of the algae water are monitored in the effluent detection area, and the water quality status of the algae water is intelligently evaluated and the pollution risk is determined. When any water quality indicator exceeds the risk warning threshold, or the comprehensive water quality score Qs(t) is lower than the inferior threshold, the reflux control mechanism is triggered.

[0013] According to the above technical solution, preferably, the backflow control mechanism includes three major links: backflow trigger condition identification, backflow execution control and backflow safety management.

[0014] The beneficial effects of the present invention are: This application provides a water quality assurance system for algae water purification, which integrates multi-parameter water quality dynamic monitoring, water quality grade assessment, intelligent reagent addition, effluent review and reflux reprocessing, builds a modular and integrated process architecture, realizes the coordinated linkage of "monitoring-assessment-control-review-reflux" multiple links, and improves the systematic, automated and intelligent level of the algae water purification process; At the same time, this application has established a comprehensive evaluation system that includes multi-index normalization calculation, weighted scoring, water quality grading, and pollution change rate prediction. This system has achieved real-time perception and dynamic assessment of the water quality status of algae-rich water bodies, enabling comprehensive and real-time understanding of water pollution characteristics and changing trends, providing data support for subsequent treatment measures. This application innovatively designs an automatic dosing control model for chemicals based on pollution risk prediction. Based on the triggering conditions of different pollution indicators, it intelligently selects the type of chemical, dynamically calculates the dosage, automatically performs precise dosing control, and implements basic maintenance and eco-friendly chemical delivery under non-risk conditions to ensure the ecological stability of the water body, thus achieving the scientific, precise and economical dosing process. This application has established an effluent water quality review and circulation return control mechanism, and for the first time realized the automatic control closed loop of effluent terminal review detection, comprehensive water quality scoring and excessive return reprocessing in the algae water treatment project, ensuring that the final discharge water quality is safe and meets the standards, effectively avoiding the risk of secondary pollution, and strengthening the safety guarantee of discharge water quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a flow chart of the algae water purification water quality assurance system disclosed in the present invention.

[0016] Figure 2 It is a schematic diagram of electronic equipment of the algae water purification water quality assurance system disclosed in the present invention. DETAILED DESCRIPTION

[0017] In order to enable those skilled in the art to better understand the technical solution of the present invention, the present invention is further described in detail below with reference to the accompanying drawings and the best embodiment. Based on the embodiments of the invention, all other embodiments obtained by those skilled in the art without making any creative work shall fall within the scope of protection of the invention.

[0018] As shown in the figure, the present invention provides an algae water purification water quality assurance system, which, according to the process flow of "monitoring-assessment-control-review-reflux", includes: upstream algae water input and sample access unit, water quality multi-parameter dynamic monitoring and intelligent assessment and judgment unit, automatic reagent addition and intelligent control unit, water quality review and circulation reflux control unit.

[0019] (1) The upstream algae-water input and sample access unit is located in the algae-water input buffer zone and is used to input, regulate and stabilize the flow of algae-water samples from the upstream of the algae-water co-treatment system, ensure the representativeness and stability of the monitoring data, and provide reliable water samples for subsequent monitoring and control.

[0020] (2) The water quality multi-parameter dynamic monitoring and intelligent assessment and judgment units are located in the algae water input buffer zone, the dosing control zone and the effluent detection zone respectively. They are used to monitor the water quality indicators in the algae water and to conduct intelligent grade assessment and pollution risk judgment on the water quality status of the algae water.

[0021] The unit is equipped with multi-parameter online water quality monitoring equipment, including but not limited to algae fluorescence sensor (to detect chlorophyll a concentration and algae density), algae toxin online detector (to detect microcystin MC-LR concentration), dissolved oxygen DO sensor, pH sensor, conductivity EC sensor, redox potential ORP sensor, turbidity meter, total nitrogen TN and total phosphorus TP automatic analyzer, to achieve real-time monitoring of key indicators such as algae density (chlorophyll a), algae toxin (MC-LR), total nitrogen (TN), total phosphorus (TP), dissolved oxygen (DO), pH value, conductivity, ORP, turbidity and so on in algae water.

[0022] Each monitoring device collects signals using an industry-standard data collector, utilizing Modbus RTU or RS485 communication protocols, automatically acquiring real-time monitoring data at a set sampling interval (preferably every 1-5 minutes). This data is uploaded to a central intelligent data processing platform in real time via NB-IoT wireless transmission, 4G networks, or industrial Ethernet technology, ensuring stable and timely data transmission.

[0023] Afterwards, the collected indicator data needs to be normalized and standardized using the following standard normalization formula: Xi′=(Xi-Xmin) / (Xmax-Xmin) Where Xi′ is the standardized result of the i-th water quality indicator, Xi is the actual measured value of the indicator, and Xmin and Xmax are the preset upper and lower thresholds of the indicator.

[0024] The normalized data enters the outlier detection algorithm, which uses the sliding window average and standard deviation 3σ principle to eliminate outliers. In the specific calculation process, the mean of n consecutive sample values ​​is set to μ and the standard deviation is set to σ. When the latest sample value Xi satisfies |Xi-μ|>3σ, the data is judged as an outlier and is eliminated or corrected.

[0025] A multi-index weighted comprehensive evaluation model and a dynamic model of water quality index change rate are used to conduct intelligent grade assessment of water quality and determine pollution risks, providing a decision-making basis for chemical dosing and control strategies.

[0026] The dynamic model of the change rate of water quality indicators is used to determine the change speed and development direction of water pollution indicators, and to achieve pre-emptive response to pollution warning and dynamic regulation.

[0027] Ri(t)=[Ci(t)-Ci(t-Δt)] / Δt Among them, Ri(t) is the rate of change of a key indicator (such as algal density, algal toxin concentration), Ci(t) is the indicator concentration at time t, and Δt is the sampling interval.

[0028] The multi-index weighted comprehensive evaluation model is used to quantitatively evaluate the water quality of algae water. Qs(t)=ΣWi×Xi′(t) Among them, Qs(t) is the comprehensive water quality score, Wi is the weight coefficient of the i-th indicator, which is set according to the importance of the indicator and the sensitivity of the water environment, and Xi′(t) is the standardized result of the i-th indicator.

[0029] Based on the Qs(t) score, five water quality levels are divided. The specific classification standards are as follows:

[0030] When Qs(t) reaches the medium level or below, the pollution warning logic is automatically triggered; when the score is lower than the poor threshold, the chemical dosing unit is automatically linked to start mandatory treatment measures, or start the water return re-treatment mechanism.

[0031] Furthermore, a mechanism for detecting and alerting indicators exceeding specified limits is also required to ensure the scientific nature of the system's monitoring results and the effectiveness of the control strategy. In this example, based on the National Surface Water Environmental Quality Standard (GB3838-2002), local water quality standards, and practical experience in algae-infested water treatment projects, safety thresholds are set for key water quality indicators to determine whether they exceed risk warning thresholds.

[0032] Specifically, if there are no special local water quality standards, the specific safety threshold ranges according to the National Surface Water Environmental Quality Standard (GB3838-2002) are as follows: The safety threshold range of algae density (chlorophyll a) is 0~50μg / L. If it exceeds 50μg / L, it is considered to be a eutrophic state and medication or ecological restoration measures need to be initiated.

[0033] The safety threshold of microcystin (MC-LR) is ≤1.0μg / L, which is the safety control standard for drinking water and landscape. If this concentration is exceeded, mandatory treatment and secondary testing and review must be initiated.

[0034] Dissolved oxygen (DO): The safety threshold range is 5~12 mg / L. A level below 5 mg / L indicates that the water body is at risk of hypoxia, and a level above 12 mg / L may indicate abnormal oxygen enrichment during photosynthesis.

[0035] pH value: The safe control range is 6.5-9.0, which is the optimal range for ecological safety. Exceeding this range may induce heavy metal dissolution or abnormal algae growth.

[0036] Oxidation-reduction potential (ORP): The safe control range is 150~300mV. A value below 150mV can easily induce an anaerobic environment, and a value above 300mV indicates that the water body is highly oxidizing.

[0037] Electrical conductivity (EC): The safety control range is 100~1000μS / cm, used to determine the dissolved salt concentration and water background characteristics.

[0038] Turbidity (NTU): The upper limit of safety control is 50NTU. Exceeding the upper limit indicates that the concentration of suspended matter in the water is high, which may affect photosynthesis and ecosystem stability.

[0039] Total nitrogen (TN): The safety control range is ≤2.0mg / L. Exceeding it indicates the risk of nitrogen pollution.

[0040] Total phosphorus (TP): The safe control range is ≤0.2mg / L. Exceeding the threshold will greatly increase the possibility of algae reproduction.

[0041] During operation, all monitoring indicator data are automatically compared with the above-mentioned safety threshold range. If any indicator exceeds the risk warning threshold (Xi≥Xi_safe_max or Xi≤Xi_safe_min), the data warning, alarm push and control logic adjustment mechanism will be immediately triggered, and measures such as chemical control, ecological restoration or recycling reflux treatment will be initiated to achieve dynamic safety protection and risk control for the entire process, all indicators and all data.

[0042] (3) Automatic drug addition and intelligent control unit, located in the drug dosing control area, performs intelligent grade assessment and pollution risk determination on the water quality status of algae water, selects the corresponding drug type (including algaecides, flocculants, growth promoters, carbon sources, etc.), dynamically calculates the amount of drug added, and automatically controls the drug dosing equipment for precise drug dosing. At the same time, it has basic maintenance drug dosing control logic. When no pollution risk is triggered, it executes low-dose ecological maintenance drug dosing according to the water quality change trend and grade results to ensure the stability of the water environment.

[0043] During actual operation, the automatic drug dosing and intelligent control unit has established a dual-mode drug dosing control strategy based on the system water quality monitoring and risk assessment results, including: a risk-triggered drug dosing control mechanism and a basic maintenance drug dosing control mechanism.

[0044] In the risk-triggered dosing control mechanism, when the water quality indicators in the algae water exceed the risk warning threshold, the targeted drug addition control process is immediately initiated. Based on the characteristics of the pollution factors, the type of drug is selected and the dosage is calculated to achieve highly targeted and fast-control pollution control measures.

[0045] When all water quality indicators remain within safe thresholds during the system's continuous monitoring cycle and no pollution risk warnings are triggered, a basic maintenance dosing control mechanism is implemented. Its primary purpose is to maintain the stability of the aquatic ecosystem, maintain the ecological inhibitory effects of low-concentration chemicals, delay the potential growth of algae or pollutants, and provide a buffer against subsequent water quality fluctuations. Basic maintenance dosing primarily utilizes eco-friendly chemicals, with the preferred configuration consisting of: microecological growth promoters (to promote water self-purification), carbon sources (to maintain the microbial metabolic environment), and low-dose flocculants or algaecides (to control potential algae growth).

[0046] The basic dosage calculation method is based on the comprehensive water quality score Qs(t) and the water quality change rate Ri(t), and the basic dosage is adjusted according to the following calculation formula: M_base=M_ref×k1×k2, Among them, M_ref is the reference single dosage of the agent, which is set according to the design or experimental experience value, and k1 is the water quality safety score correction coefficient, which is related to the water quality grade:

[0047] k2 is the water quality change rate correction coefficient, which is related to the average change rate of water quality indicators Ri_avg(t), where Ri_avg(t) is the average change rate of key monitoring indicators (algae density, algal toxins, and nutrients):

[0048] The automatic drug addition and intelligent control unit of this application can automatically and dynamically adjust the dosage of drugs to ensure the economy and effectiveness of drug administration, maintain the good state of the water environment, and avoid hidden dangers when no drugs are administered. Once the monitoring data triggers the risk threshold, the system immediately exits the basic maintenance drug administration mode and switches to the risk-oriented drug administration mode to realize automatic logic switching.

[0049] (4) The effluent water quality review and circulation return control unit is located in the effluent detection area and is used to conduct water quality review and detection before the effluent is discharged to determine whether the effluent meets the standards. When the effluent water quality does not meet the standards or there is a risk of exceeding the standards, the return control mechanism is automatically triggered to return this part of the water body to the upstream treatment process or designated re-treatment unit for re-treatment to ensure that the final discharge water quality meets the standards and is ecologically safe.

[0050] The effluent water quality review and recirculation control unit monitors water quality indicators in the algae water in the effluent detection area, and performs intelligent grading and pollution risk assessment on the water quality status of the algae water. When any water quality indicator exceeds the risk warning threshold, or the comprehensive water quality score Qs(t) falls below the poor threshold, the recirculation control mechanism is triggered, prohibiting direct discharge of that portion of water and requiring it to enter the recirculation treatment process, thus achieving closed-loop management of water treatment. The monitoring standards, warning thresholds, and calculation method for the comprehensive water quality score (Qs) for the detection indicators remain consistent with those of the water quality monitoring and risk assessment unit described above in this system. The specific indicator control limits, evaluation model, and scoring criteria are not repeated here.

[0051] The backflow control mechanism includes three major links: backflow trigger condition identification, backflow execution control and backflow safety management. Among them, the backflow trigger conditions include single indicator exceeding the standard, comprehensive water quality score not meeting the standard, short-term abnormal fluctuation of water quality or continuous abnormal detection and other emergencies. When any of the above trigger conditions is met, the system will automatically start the backflow control instruction through the central control platform, control the backflow delivery pump and automatic valve, and deliver the substandard water body to the upstream treatment area of ​​the system, or return it to the designated deep treatment unit for intensive treatment. In the specific implementation process of the backflow execution control, this application preferably adopts the internal circulation mode to return the backflow water body to the chemical dosing control area or the ecological restoration area, and use the existing chemical control measures and ecological restoration technology to deeply purify the water body.

[0052] The detection system dynamically calculates the return flow rate and time period based on the current treated water volume, pollution load and return water quality, and preferably adopts the following flow control model: Qr=(Vn×α) / T Among them, Qr is the return flow rate (m 3 / h), Vn is the current treated water volume (m 3 ), α is the return ratio (0.2~0.5, dynamically adjusted according to water quality conditions), and T is the return time period (h).

[0053] To prevent excessive circulation or prolonged operation during the backflow process, which can increase system load, this unit sets a maximum allowable backflow frequency and maximum backflow time in the backflow control logic. If the water quality still does not meet the standard after exceeding the set frequency or time, the system will automatically initiate emergency advanced treatment measures, including filtration, activated carbon adsorption, and ultraviolet disinfection, to ensure that the final effluent water quality remains stable and meets the standard.

[0054] In addition, during operation, this unit automatically records all review and inspection data, exceeding standard alarm information, backflow execution log and water quality improvement effects. All data are synchronously uploaded to the intelligent operation and maintenance management platform to form a complete operation and management record, which is convenient for subsequent water quality traceability, governance optimization and system operation and maintenance management, and realizes water quality safety control of the entire process, all indicators and the entire process.

[0055] In summary, the algae water purification water quality assurance system proposed in this application, in response to the actual needs of algae water treatment projects, has built a full-process water quality assurance control system that integrates dynamic water quality monitoring, multi-indicator risk assessment, intelligent reagent addition, effluent verification and circulation backflow. It has technical advantages such as reasonable technical structure, rigorous control logic, high level of automation, and strong ecological safety. This application is not only applicable to algae water treatment and ecological restoration projects in natural water bodies such as lakes, reservoirs, and rivers, but can also be widely used in various urban water environment treatment, landscape water purification, reservoir safety assurance, water source algae water treatment and other scenarios. It has good engineering promotion and application value, can effectively support the intelligent, digital and ecological development direction of water environment treatment projects, and provide technical support for water ecological environment protection and water quality safety assurance.

[0056] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as within the scope of protection of the present invention.

Claims

1. A water quality assurance system for algae water purification, characterized in that: include: The upstream algae water input and sample access unit is located in the algae water input buffer zone and is used to input algae water samples from upstream, regulate flow, and provide flow stabilization buffering. The water quality multi-parameter dynamic monitoring and intelligent assessment and judgment units are located in the algae water input buffer zone, the dosing control zone, and the effluent detection zone. They are used to monitor the water quality indicators in the algae water and conduct intelligent grade assessment and pollution risk assessment of the water quality status of the algae water. The automatic drug dosing and intelligent control unit is located in the drug dosing control area. It performs intelligent grade assessment and pollution risk determination based on the water quality of the algae water, selects the appropriate drug type, dynamically calculates the drug dosage, and automatically controls the dosing equipment for precise drug dosing. The effluent water quality review and circulation reflux control unit is located in the effluent detection area. It is used to conduct water quality review and detection before the effluent is discharged to determine whether the effluent meets the standards. When the effluent water quality does not meet the standards or there is a risk of exceeding the standards, the reflux control mechanism is automatically triggered.

2. The algae water purification water quality assurance system according to claim 1, characterized in that: The water quality multi-parameter dynamic monitoring and intelligent assessment and judgment unit includes an algae fluorescence sensor, an algae toxin online detector, a dissolved oxygen DO sensor, a pH sensor, an electrical conductivity EC sensor, an oxidation-reduction potential ORP sensor, a turbidity meter, and an automatic analyzer for total nitrogen TN and total phosphorus TP.

3. The algae water purification water quality assurance system according to claim 2, characterized in that: The water quality multi-parameter dynamic monitoring and intelligent assessment and judgment unit includes a water quality index change rate dynamic model, which is used to judge the change speed and development direction of water pollution indicators. Ri(t)=[Ci(t)-Ci(t-Δt)] / Δt Among them, Ri(t) is the rate of change of one of the water quality indicators, Ci(t) is the indicator concentration at time t, and Δt is the sampling interval.

4. The algae water purification water quality assurance system according to claim 3, characterized in that: The water quality multi-parameter dynamic monitoring and intelligent assessment and judgment unit includes a multi-index weighted comprehensive evaluation model for quantitatively evaluating the water quality of algae water. Qs(t)=ΣWi×Xi′(t) Among them, Qs(t) is the comprehensive water quality score, Wi is the weight coefficient of the i-th indicator, which is set according to the importance of the indicator and the sensitivity of the water environment, and Xi′(t) is the standardized result of the i-th indicator.

5. The algae water purification water quality assurance system according to claim 4, characterized in that: According to the comprehensive water quality score Qs(t), the water quality of algae water is intelligently evaluated and the pollution risk is determined. When Qs(t) is lower than the inferior threshold, the automatic agent addition and intelligent control unit are automatically linked to start mandatory treatment measures, or the effluent water quality review and circulation return control unit are linked to start the water return re-processing mechanism.

6. The algae water purification water quality assurance system according to claim 4 or 5, characterized in that: The automatic medicine dosing and intelligent control unit includes a risk-triggered dosing control mechanism and a basic maintenance dosing control mechanism.

7. The algae water purification water quality assurance system according to claim 6, characterized in that: In the risk-triggered dosing control mechanism, when the water quality index in the algae water exceeds the risk warning threshold, the targeted drug dosing control process is initiated; In the basic maintenance dosing control mechanism, the basic dosage M_base=M_ref×k1×k2, where M_ref is the reference single dosage of the agent, which is set according to the design or experimental experience value, k1 is the water quality safety score correction coefficient, which is related to the water quality grade, and k2 is the water quality change rate correction coefficient, which is related to the average change rate of the water quality index Ri_avg(t).

8. The algae water purification water quality assurance system according to claim 4 or 5, characterized in that: In the effluent water quality review and circulation reflux control unit, the water quality indicators of the algae water are monitored in the effluent detection area, and the water quality status of the algae water is intelligently evaluated and the pollution risk is determined. When any water quality indicator exceeds the risk warning threshold, or the water quality comprehensive score value Qs(t) is lower than the poor threshold, the backflow control mechanism is triggered.

9. The algae water purification water quality assurance system according to claim 8, characterized in that: The backflow control mechanism includes three major links: backflow trigger condition identification, backflow execution control and backflow safety management.

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