Intelligent control method and system for pure water preparation based on step-by-step detection

Abstract

The application belongs to the technical field of pure water preparation, and specifically discloses a pure water preparation intelligent regulation and control method and system based on step-by-step detection, which can, when the pure water preparation system is running, gradually progress and trace layer by layer according to a set detection timing logic, each level of detection performs its own function and digs risks layer by layer, and finally realizes self-adaptive regulation and control relying on full-dimensional detection data to complete high-quality pure water preparation. The application can completely eliminate the blind area of single detection and skip-level detection, realize traceability of small hidden dangers and predictability of major risks, greatly reduce system operation energy consumption and equipment detection loss, improve preparation economy, locate risk levels and causes, eliminate one-size-fits-all fixed value regulation and control, greatly improve pure water preparation qualification rate and water quality stability, realize rapid positioning and rectification of abnormal problems, greatly reduce equipment failure rate and operation and maintenance cost, and prolong the service life of the pure water preparation system.

Description

Technical Field

[0001] This invention belongs to the field of pure water preparation technology, specifically relating to a method and system for intelligent control of pure water preparation based on step-by-step detection. Background Technology

[0002] Existing pure water preparation systems mostly adopt a control mode of fixed parameter operation and single-point, single-time water quality testing, which has shortcomings such as single detection dimensions, incomplete risk assessment, delayed control, and poor fault tolerance. Traditional detection methods lack hierarchical progressive logic, often resulting in missed detection of minor water quality anomalies and misjudgment of serious equipment hazards. Furthermore, the detection parameters are repetitive and redundant, and the investigation is disordered, making it impossible to achieve step-by-step tracing from surface water quality parameters to deep equipment operating conditions, and from instantaneous anomalies to persistent hazards.

[0003] Meanwhile, conventional pure water preparation control is a passive, fixed-value control method, which cannot adaptively adjust operating parameters based on the differentiated risks of abnormal detection. This leads to unstable pure water pass rates, high equipment wear and tear, and serious energy waste, failing to meet the refined, intelligent, and end-to-end risk control requirements of high-precision pure water preparation. Therefore, a new intelligent control solution for pure water preparation is urgently needed to solve the core problems of chaotic risk control, inefficient detection, and lagging control in existing technologies. Summary of the Invention

[0004] The purpose of this invention is to provide a method and system for intelligent control of pure water preparation based on stepwise detection, so as to solve the above-mentioned problems existing in the prior art.

[0005] To achieve the above objectives, the present invention adopts the following technical solution: Firstly, a method for intelligent control of pure water preparation based on step-by-step detection is provided, including: S1. When the pure water preparation system is running, collect the basic water quality parameter set of the influent water source, and conduct primary basic water quality testing on the basic water quality parameter set to obtain the primary basic water quality test results. Based on the primary basic water quality test results, determine whether there is a primary risk. S2. When a level 1 risk is determined based on the results of the primary water quality test, a set of core water quality parameters of the influent water source is collected, and a secondary core water quality test is conducted on the set of core water quality parameters to obtain the results of the secondary core water quality test. Based on the results of the secondary core water quality test, it is determined whether a level 2 risk exists. S3. When a level 2 risk is determined based on the results of the level 2 core water quality test, the equipment operating condition parameter set of the pure water preparation system is collected, and the equipment operating condition parameter set is subjected to level 3 equipment operating condition test to obtain the level 3 equipment operating condition test results. Based on the level 3 equipment operating condition test results, it is determined whether a level 3 risk exists. S4. When a level 3 risk is determined based on the level 3 equipment condition test results, the system link parameter set of the pure water preparation system is collected, and a level 4 link operation test is performed on the system link parameter set to obtain the level 4 link operation test results. Based on the level 4 link operation test results, it is determined whether a level 4 risk exists. S5. When a level 4 risk is determined based on the level 4 link operation detection results, the environmental linkage parameter set of the pure water preparation system is collected, and a level 5 environmental linkage detection is performed on the environmental linkage parameter set to obtain the level 5 environmental linkage detection results. Based on the level 5 environmental linkage detection results, it is determined whether a level 5 risk exists. S6. When a level 5 risk is determined based on the results of the five-level environmental linkage detection, the results of the first-level basic water quality detection, the second-level core water quality detection, the third-level equipment operation detection, the fourth-level link operation detection, and the fifth-level environmental linkage detection are summarized to obtain the full-dimensional source traceability characteristics. The full-dimensional source traceability characteristics are then used to generate an adaptive matching control strategy, which is then output to the pure water preparation system.

[0006] In one possible design, the method further includes: after the pure water preparation system receives and executes the adaptive matching control strategy, re-entering step S1 until the set risk termination condition is met, and controlling the pure water preparation system to output pure water.

[0007] In one possible design, the basic water quality parameter set includes several basic water quality parameters, including turbidity, pH value, instantaneous influent flow rate, and basic salinity. The determination of whether there is a level 1 risk based on the primary basic water quality test results includes: if the primary basic water quality test results confirm that any basic water quality parameter in the basic water quality parameter set is abnormal, then a level 1 risk is determined to exist; if the primary basic water quality test results confirm that no basic water quality parameter in the basic water quality parameter set is abnormal, then a level 1 risk is determined not to exist.

[0008] In one possible design, the core water quality parameter set includes several core water quality parameters, including TDS content, heavy metal ion content, initial microbial concentration, and colloidal particulate matter content. The determination of whether there is a secondary risk based on the secondary core water quality test results includes: if the secondary core water quality test results confirm that any core water quality parameter in the core water quality parameter set is abnormal, then a secondary risk is determined to exist; if the secondary core water quality test results confirm that no core water quality parameter in the core water quality parameter set is abnormal, then a secondary risk is determined not to exist.

[0009] In one possible design, the equipment operating parameter set includes several equipment operating parameters, including the RO membrane inlet and outlet pressure difference, filter element clogging rate, booster pump operating frequency, solenoid valve opening and closing accuracy, and filter component wear level. The determination of whether a level 3 risk exists based on the level 3 equipment operating parameter detection results includes: if the level 3 equipment operating parameter set is confirmed to be abnormal according to the level 3 equipment operating parameter detection results, then a level 3 risk is determined to exist; if the level 3 equipment operating parameter set is confirmed to be free of abnormal equipment operating parameters according to the level 3 equipment operating parameter detection results, then a level 3 risk is determined to not exist.

[0010] In one possible design, the system link parameter set includes several system link parameters, including pipeline water flow resistance, equipment flow distribution balance, system pressure stability, wastewater recovery rate, and timing temperature control accuracy. The determination of whether a level four risk exists based on the level four link operation detection results includes: if any system link parameter in the system link parameter set is confirmed to be abnormal based on the level four link operation detection results, then a level four risk is determined to exist; if no system link parameter in the system link parameter set is confirmed to be abnormal based on the level four link operation detection results, then a level four risk is determined to not exist.

[0011] In one possible design, the environmental linkage parameter set includes several environmental linkage parameters, including ambient temperature, ambient humidity, airborne particulate matter concentration, influent water temperature fluctuation range, and electromagnetic interference intensity. The determination of whether there is a level 5 risk based on the level 5 environmental linkage detection results includes: if the level 5 environmental linkage detection results confirm that any environmental linkage parameter in the environmental linkage parameter set is abnormal, then a level 5 risk is determined to exist; if the level 5 environmental linkage detection results confirm that no environmental linkage parameter in the environmental linkage parameter set is abnormal, then a level 5 risk is determined not to exist.

[0012] In one possible design, the process of generating an adaptive matching and control strategy using full-dimensional source tracing features includes: importing full-dimensional source tracing features into a pre-trained large model for strategy generation to obtain the corresponding adaptive matching and control strategy.

[0013] Secondly, it provides a pure water preparation intelligent control system based on step-by-step detection, including a primary basic water quality detection module, a secondary core water quality detection module, a tertiary equipment operating condition detection module, a quaternary link operation detection module, a quintile environmental linkage detection module, an intelligent source traceability matching control module, and a time-series logic linkage control module, wherein: The primary basic water quality testing module is used to collect a set of basic water quality parameters of the incoming water source during the operation of the pure water preparation system, and to perform primary basic water quality testing on the set of basic water quality parameters to obtain the primary basic water quality testing results. Based on the primary basic water quality testing results, it is determined whether there is a primary risk. The secondary core water quality detection module is used to collect the core water quality parameter set of the influent water source when the primary basic water quality detection results indicate the existence of a primary risk. It then performs secondary core water quality detection on the core water quality parameter set to obtain the secondary core water quality detection results and determines whether a secondary risk exists based on the secondary core water quality detection results. The Level 3 Equipment Condition Detection Module is used to collect the equipment condition parameter set of the pure water preparation system when a Level 2 risk is determined based on the Level 2 core water quality test results. It then performs Level 3 equipment condition detection on the equipment condition parameter set to obtain the Level 3 equipment condition detection results and determines whether a Level 3 risk exists based on the Level 3 equipment condition detection results. The Level 4 Link Operation Detection Module is used to collect the system link parameter set of the pure water preparation system when a Level 3 risk is determined based on the Level 3 equipment operation condition detection results. It then performs Level 4 link operation detection on the system link parameter set to obtain the Level 4 link operation detection results and determines whether a Level 4 risk exists based on the Level 4 link operation detection results. The Level 5 Environmental Linkage Detection Module is used to collect the environmental linkage parameter set of the pure water preparation system when a Level 4 risk is determined based on the Level 4 link operation detection results. It then performs Level 5 environmental linkage detection on the environmental linkage parameter set to obtain the Level 5 environmental linkage detection results and determines whether a Level 5 risk exists based on the Level 5 environmental linkage detection results. The intelligent source tracing and matching control module is used to summarize the first-level basic water quality test results, the second-level core water quality test results, the third-level equipment operation test results, the fourth-level link operation test results, and the fifth-level environmental linkage test results when a level 5 risk is determined based on the five-level environmental linkage test results. This results in a full-dimensional source tracing feature, which is then used to generate an adaptive matching control strategy and output the adaptive matching control strategy to the pure water preparation system. The timing logic linkage control module is used to perform timing logic control on the primary basic water quality detection module, the secondary core water quality detection module, the tertiary equipment condition detection module, the quaternary link operation detection module, the 5th environmental linkage detection module, and the intelligent traceability matching and control module.

[0014] Thirdly, it provides an intelligent control system for pure water preparation based on step-by-step detection, including: Memory, used to store instructions; A processor is configured to read instructions stored in the memory and execute the intelligent control method for pure water preparation based on step-by-step detection as described in the first aspect of the claims.

[0015] Beneficial effects: 1. Enhance risk prevention and control capabilities: By screening and covering each layer, risks are fully covered from the source water quality, hardware equipment, system links and external environment, completely eliminating blind spots in single detection and skipping detection, and enabling traceability of minor hidden dangers and prediction of major risks.

[0016] 2. Significantly reduced energy consumption and losses: Coarse screening followed by fine inspection, with subsequent testing terminated once no abnormalities are found, avoids high-frequency, high-precision testing throughout the entire process, significantly reducing system computing energy consumption and equipment testing losses, and improving the economic efficiency of preparation.

[0017] 3. Intelligent and precise control: Based on progressively differentiated detection data, the risk level and cause can be intelligently located, realizing "graded risk and graded control", eliminating one-size-fits-all fixed value control, and significantly improving the pass rate of pure water preparation and water quality stability.

[0018] 4. Highly efficient closed-loop fault tracing: The strict progressive sequence ensures that each level of risk has a clear cause and effect, enabling rapid location and rectification of abnormal problems, significantly reducing equipment failure rate and maintenance costs, and extending the service life of the pure water preparation system. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0020] Figure 1 This is a flowchart illustrating the method in Embodiment 1 of the present invention; Figure 2 This is a schematic diagram of the system structure in Embodiment 2 of the present invention; Figure 3 This is a schematic diagram of the system structure in Embodiment 3 of the present invention. Detailed Implementation

[0021] It should be noted that the descriptions of these embodiments are intended to aid in understanding the invention and do not constitute a limitation thereof. The specific structural and functional details disclosed herein are merely for describing exemplary embodiments of the invention. However, the invention may be embodied in many alternative forms and should not be construed as being limited to the embodiments described herein.

[0022] It should be understood that, unless otherwise explicitly specified and limited, the corresponding terms should be interpreted broadly. For example, "connection" can be a fixed connection, a detachable connection, or an integral connection; it can be a direct connection or an indirect connection through an intermediate medium; it can be a connection within two components. Those skilled in the art can understand the specific meaning of the above terms in the embodiments according to the specific circumstances.

[0023] Specific details are provided in the following description to provide a complete understanding of the exemplary embodiments. However, those skilled in the art will understand that the exemplary embodiments can be implemented without these specific details. For example, apparatus may be shown in block diagrams to avoid obscuring the examples with unnecessary details. In other embodiments, well-known processes, structures, and techniques may be omitted with non-essential details to avoid obscuring the embodiments.

[0024] Example 1: This embodiment provides a smart control method for pure water preparation based on step-by-step detection, which can be applied to corresponding control terminals, such as... Figure 1 As shown, the method includes the following steps: S1. When the pure water preparation system is running, collect the basic water quality parameter set of the influent water source, and conduct primary basic water quality testing on the basic water quality parameter set to obtain the primary basic water quality test results. Based on the primary basic water quality test results, determine whether there is a primary risk. In practice, when the pure water preparation system starts up, the control terminal first performs a basic water quality screening of the incoming water source. This quickly determines whether there are any visible surface anomalies in the raw water, identifies fundamental risks at the source of pure water preparation, and prevents unqualified raw water from entering the preparation process, thus avoiding basic water quality defects at the source. Primary testing is the most basic and initial screening step in the entire process. The basic quality of the raw water is the core prerequisite for determining the quality of pure water preparation; all subsequent equipment operation and system control are based on the basic state of the raw water. Prioritizing primary testing allows for rapid screening of qualified incoming water without anomalies, avoiding ineffective multi-level testing and significantly reducing system energy consumption and testing costs.

[0025] The first-level detection process includes: collecting a set of basic water quality parameters from the incoming water source, which includes several basic water quality parameters such as turbidity, pH value, instantaneous influent flow rate, and basic salinity. Then, a first-level basic water quality test is performed on the basic water quality parameter set to obtain the first-level basic water quality test results. If any basic water quality parameter in the set is found to be abnormal according to the first-level basic water quality test results, a first-level risk is determined to exist. If no basic water quality parameter in the set is found to be abnormal according to the first-level basic water quality test results, a first-level risk is determined to exist. If no first-level risk is determined, it indicates that the water source is qualified, and the pure water preparation system can be controlled to enter the normal pure water preparation process without triggering subsequent multi-level tests.

[0026] S2. When a level 1 risk is determined based on the results of the primary water quality test, a set of core water quality parameters of the influent water source is collected, and a secondary core water quality test is conducted on the core water quality parameter set to obtain the results of the secondary core water quality test. Based on the results of the secondary core water quality test, it is determined whether a level 2 risk exists.

[0027] In practice, when a Level 1 risk is identified based on the results of Level 1 basic water quality testing, the control terminal further pinpoints the core causes of the water quality anomalies identified in the Level 1 testing, distinguishing between temporary surface fluctuations and substantial water quality defects, and determining the severity of the Level 1 risk. This provides a basis for further investigation. In other words, abnormal Level 1 testing parameters and the identification of a Level 1 risk are the sole prerequisites for initiating Level 2 testing; without a Level 1 risk assessment, Level 2 testing will not be triggered. Level 2 testing focuses on refined water quality indicators, serving as a review and deepening of the Level 1 basic screening. Checking basic macroscopic parameters first, then microscopic parameters, aligns with the risk control logic of "coarse screening followed by fine verification," avoiding the waste of resources caused by direct high-precision testing. Simultaneously, it can distinguish between false anomalies and genuine water quality risks, improving the accuracy of risk control.

[0028] During secondary testing, the control terminal collects a set of core water quality parameters from the influent water source. This set includes several core water quality parameters, such as TDS (Total Dissolved Solids), heavy metal ion content, initial microbial concentration, and colloidal particulate matter content. Secondary core water quality testing is then performed on this set. If any core water quality parameter in the set is found to be abnormal, a secondary risk is identified. If no core water quality parameter is found to be abnormal, no secondary risk is identified. If all secondary testing parameters are normal and no secondary risk exists, the primary risk can be identified as a non-substantial risk such as transient environmental fluctuations or testing errors. The risk remains at the primary level, without any deeper hidden dangers. The control terminal can then terminate subsequent testing and, after minor adjustments to the influent parameters, the pure water preparation system can resume normal water production.

[0029] S3. When a level 2 risk is determined based on the results of the level 2 core water quality test, the equipment operating condition parameter set of the pure water preparation system is collected, and a level 3 equipment operating condition test is performed on the equipment operating condition parameter set to obtain the level 3 equipment operating condition test results. Based on the level 3 equipment operating condition test results, it is determined whether a level 3 risk exists.

[0030] In practice, when a level 2 risk is determined based on the results of the level 2 core water quality test, the control terminal will conduct a level 3 test to further investigate whether the persistent water quality abnormality is caused by abnormal operation of the preparation equipment, trace the root cause of the water quality defect at the equipment end, distinguish between the two types of risks of "raw water quality problems" and "equipment operation failure", and locate the hidden dangers at the hardware level.

[0031] During the Level 3 testing, the control terminal collects a set of equipment operating parameters from the pure water preparation system. This set includes several parameters, such as the RO membrane inlet and outlet pressure difference, filter cartridge clogging rate, booster pump operating frequency, solenoid valve opening and closing accuracy, and filter component wear level. The system then performs Level 3 equipment operating condition testing on this parameter set. If any parameter in the set is found to be abnormal, a Level 3 risk is identified. If no parameter is found to be abnormal, no Level 3 risk is identified. If all Level 3 equipment operating parameters are normal, the water quality abnormality is determined to be solely due to the raw water itself, with no equipment malfunction risk. The control terminal can then terminate the deep testing and activate the AI ​​water purification control mode for the pure water preparation system.

[0032] The causes of abnormal water quality can be divided into water source problems and equipment problems. After completing the two-level testing of the water quality itself, it is necessary to progressively investigate the operating condition of the core preparation equipment, which conforms to the fault tracing logic of "media first, equipment second". If the three-level testing is skipped and the subsequent system link testing is carried out directly, it will lead to the failure to detect equipment hardware faults, resulting in ineffective subsequent control and continuous equipment damage.

[0033] S4. When a level 3 risk is determined based on the level 3 equipment condition test results, the system link parameter set of the pure water preparation system is collected, and a level 4 link operation test is performed on the system link parameter set to obtain the level 4 link operation test results. Based on the level 4 link operation test results, it is determined whether a level 4 risk exists.

[0034] In practice, when a level 3 risk is determined based on the results of the level 3 equipment condition test, the control terminal performs a level 4 test. After detecting a single equipment failure in the detection system, the link coordination status of the entire preparation system is further investigated to locate systemic hidden dangers such as abnormal linkage of multiple equipment, aging pipelines, and imbalance of system parameters, thus extending the risk investigation from "single equipment" to "the entire system link".

[0035] During Level 4 testing, the control terminal collects the system link parameter set of the pure water preparation system. This set includes several system link parameters, such as pipeline flow resistance, equipment flow distribution balance, system pressure stability, wastewater recovery rate, and timing temperature control accuracy. Then, Level 4 link operation testing is performed on this parameter set to obtain the results. If any system link parameter in the set is found to be abnormal, a Level 4 risk is identified. If no abnormal system link parameter is found, no Level 4 risk is identified. If all Level 4 system link parameters are normal, the pure water preparation system is determined to have experienced a momentary fault in a single device, with no systemic hidden dangers. The control terminal can then terminate the in-depth testing, fine-tune the operating parameters of the faulty device, and complete the corrective water production process.

[0036] The normal operation of a single device does not guarantee the normal coordinated operation of the entire system. Imbalance in the linkage of multiple devices and abnormalities in pipelines can indirectly lead to substandard water quality. Level 4 testing takes over the testing of individual devices and progresses to the testing of the entire system link, which conforms to the risk control logic of "first individual devices, then the whole system" and fills in the blind spots of local inspections.

[0037] S5. When a level 4 risk is determined based on the level 4 link operation detection results, the environmental linkage parameter set of the pure water preparation system is collected, and a level 5 environmental linkage detection is performed on the environmental linkage parameter set to obtain the level 5 environmental linkage detection results. Based on the level 5 environmental linkage detection results, it is determined whether a level 5 risk exists.

[0038] In practice, when a level 4 risk is determined based on the results of the level 4 link operation detection, the control terminal performs a level 5 detection to investigate whether the systemic operational anomaly is caused by external environmental interference, distinguish between the two types of deep risks, namely "system own failure" and "external environmental interference", and complete the source tracing of risks from all internal and external dimensions.

[0039] During the Level 5 testing, the control terminal collects a set of environmental linkage parameters for the pure water preparation system. This set includes several environmental linkage parameters, such as ambient temperature, ambient humidity, airborne particulate matter concentration, influent water temperature fluctuation, and electromagnetic interference intensity. The set is then subjected to Level 5 environmental linkage testing to obtain the results. If any environmental linkage parameter in the set is found to be abnormal, a Level 5 risk is identified. If no environmental linkage parameter is found to be abnormal, no Level 5 risk is identified. If all environmental linkage parameters in the Level 5 test are normal, the risk is determined to be an intrinsic problem such as system aging or parameter drift, with no environmental interference risks. In this case, the control terminal can terminate the testing and initiate the system parameter calibration mode.

[0040] The accuracy of pure water preparation is highly susceptible to environmental parameters. After completing the internal checks of water quality, equipment, and system, the control terminal should then progressively check external environmental factors. This follows the fault tracing logic of "internal first, external later" to completely eliminate blind spots in the investigation and achieve full-dimensional risk coverage.

[0041] S6. When a level 5 risk is determined based on the results of the five-level environmental linkage detection, the results of the first-level basic water quality detection, the second-level core water quality detection, the third-level equipment operation detection, the fourth-level link operation detection, and the fifth-level environmental linkage detection are summarized to obtain the full-dimensional source traceability characteristics. The full-dimensional source traceability characteristics are then used to generate an adaptive matching control strategy, which is then output to the pure water preparation system.

[0042] In practical implementation, after determining the existence of a Level 5 risk based on the results of the Level 5 environmental linkage detection, the control terminal can summarize the Level 1 basic water quality detection results, Level 2 core water quality detection results, Level 3 equipment operating condition detection results, Level 4 link operation detection results, and Level 5 environmental linkage detection results to obtain a comprehensive source tracing feature. Then, using the comprehensive source tracing feature's adaptive matching control strategy, a corresponding adaptive matching control strategy is obtained (e.g., for Level 1 risk: fine-tuning influent pretreatment parameters; for Level 2 risk: enhancing water purification and filtration accuracy; for Level 3 risk: correcting equipment operating condition parameters and initiating minor equipment maintenance; for Level 4 risk: balancing system link flow and stabilizing system operating pressure; for Level 5 risk: linking and controlling workshop environmental parameters and compensating for environmental interference errors). For example, the control terminal can import the comprehensive source tracing feature into a pre-trained large model for strategy generation to obtain the corresponding adaptive matching control strategy.

[0043] This step is the final implementation stage of the entire risk control process. It requires the progressively higher-level detection results from the previous five levels to achieve adaptive control. Without the preceding tiered detection data, intelligent control lacks a basis and cannot achieve refined intelligent management. The control terminal uses an adaptive matching control strategy to regulate the risk of the pure water preparation system. After the system executes the adaptive matching control strategy, a closed-loop re-inspection can be performed, re-entering step S1 until all detection parameters at each level meet the standards, at which point the pure water preparation system is controlled to output pure water.

[0044] The core rules of the entire control process include: 1. The detection hierarchy is strictly unidirectional and progressive. The next level of detection can only be triggered after the previous level of detection is completed and determined to be abnormal. Skipping levels, crossing levels, and reverse detection are prohibited; 2. The detection parameters of each level are independent and non-overlapping. The detection dimensions, investigation targets, and risk levels are completely different; 3. Adjacent steps are strongly logically bound. The previous level is the prerequisite for triggering the next level, and the next level is the risk in-depth investigation of the previous level. The steps cannot be split or the sequence cannot be changed.

[0045] The method described in this embodiment can completely eliminate the blind spots in single-detection and skip-level detection, enabling traceability of minor hidden dangers and prediction of major risks; it can significantly reduce system energy consumption and equipment testing wear, improving the economic efficiency of preparation; it can locate the risk level and cause, eliminating one-size-fits-all fixed value control, and significantly improving the pass rate and water quality stability of pure water preparation; it can enable rapid location and rectification of abnormal problems, significantly reducing equipment failure rate and operation and maintenance costs, and extending the service life of the pure water preparation system.

[0046] Example 2: This embodiment provides a pure water preparation intelligent control system based on step-by-step detection, such as... Figure 2As shown, it includes a primary basic water quality testing module, a secondary core water quality testing module, a tertiary equipment condition testing module, a quaternary link operation testing module, a quintile environmental linkage testing module, an intelligent source tracing and matching control module, and a time-series logic linkage control module, wherein: The primary basic water quality testing module is used to collect a set of basic water quality parameters of the incoming water source during the operation of the pure water preparation system, and to perform primary basic water quality testing on the set of basic water quality parameters to obtain the primary basic water quality testing results. Based on the primary basic water quality testing results, it is determined whether there is a primary risk. The secondary core water quality detection module is used to collect the core water quality parameter set of the influent water source when the primary basic water quality detection results indicate the existence of a primary risk. It then performs secondary core water quality detection on the core water quality parameter set to obtain the secondary core water quality detection results and determines whether a secondary risk exists based on the secondary core water quality detection results. The Level 3 Equipment Condition Detection Module is used to collect the equipment condition parameter set of the pure water preparation system when a Level 2 risk is determined based on the Level 2 core water quality test results. It then performs Level 3 equipment condition detection on the equipment condition parameter set to obtain the Level 3 equipment condition detection results and determines whether a Level 3 risk exists based on the Level 3 equipment condition detection results. The Level 4 Link Operation Detection Module is used to collect the system link parameter set of the pure water preparation system when a Level 3 risk is determined based on the Level 3 equipment operation condition detection results. It then performs Level 4 link operation detection on the system link parameter set to obtain the Level 4 link operation detection results and determines whether a Level 4 risk exists based on the Level 4 link operation detection results. The Level 5 Environmental Linkage Detection Module is used to collect the environmental linkage parameter set of the pure water preparation system when a Level 4 risk is determined based on the Level 4 link operation detection results. It then performs Level 5 environmental linkage detection on the environmental linkage parameter set to obtain the Level 5 environmental linkage detection results and determines whether a Level 5 risk exists based on the Level 5 environmental linkage detection results. The intelligent source tracing and matching control module is used to summarize the first-level basic water quality test results, the second-level core water quality test results, the third-level equipment operation test results, the fourth-level link operation test results, and the fifth-level environmental linkage test results when a level 5 risk is determined based on the five-level environmental linkage test results. This results in a full-dimensional source tracing feature, which is then used to generate an adaptive matching control strategy and output the adaptive matching control strategy to the pure water preparation system. The timing logic linkage control module is used to perform timing logic control on the primary basic water quality detection module, the secondary core water quality detection module, the tertiary equipment condition detection module, the quaternary link operation detection module, the 5th environmental linkage detection module, and the intelligent traceability matching and control module.

[0047] Example 3: This embodiment provides a pure water preparation intelligent control system based on step-by-step detection, such as... Figure 3 As shown, at the hardware level, it includes: The data interface is used to establish data communication between the processor and external data terminals; Memory, used to store instructions; The processor is used to read the instructions stored in the memory and execute the intelligent control method for pure water preparation based on step-by-step detection in Embodiment 1 according to the instructions.

[0048] Optionally, the system also includes an internal bus, through which the processor, memory, and data interface can be interconnected. This internal bus can be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, or an EISA (Extended Industry Standard Architecture) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc.

[0049] The memory may include, but is not limited to, random access memory (RAM), read-only memory (ROM), flash memory, first-in-first-out (FIFO) memory, and / or first-in-last-out (FILO) memory. The processor may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it may also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0050] Example 4: This embodiment provides a computer-readable storage medium storing instructions. When these instructions are executed on a computer, the computer performs the intelligent control method for pure water preparation based on step-by-step detection as described in Embodiment 1. The computer-readable storage medium refers to a data storage medium, which may include, but is not limited to, floppy disks, optical disks, hard disks, flash memory, USB flash drives, and / or Memory Sticks. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices.

[0051] This embodiment also provides a computer program product that, when run on a computer, executes the intelligent control method for pure water preparation based on step-by-step detection in Embodiment 1. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device.

[0052] Finally, it should be noted that the above description is merely a preferred embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for intelligent control of pure water preparation based on step-by-step detection, characterized in that, include: S1. When the pure water preparation system is running, collect the basic water quality parameter set of the influent water source, and conduct primary basic water quality testing on the basic water quality parameter set to obtain the primary basic water quality test results. Based on the primary basic water quality test results, determine whether there is a primary risk. S2. When a level 1 risk is determined based on the results of the primary water quality test, a set of core water quality parameters of the influent water source is collected, and a secondary core water quality test is conducted on the set of core water quality parameters to obtain the results of the secondary core water quality test. Based on the results of the secondary core water quality test, it is determined whether a level 2 risk exists. S3. When a level 2 risk is determined based on the results of the level 2 core water quality test, the equipment operating condition parameter set of the pure water preparation system is collected, and the equipment operating condition parameter set is subjected to level 3 equipment operating condition test to obtain the level 3 equipment operating condition test results. Based on the level 3 equipment operating condition test results, it is determined whether a level 3 risk exists. S4. When a level 3 risk is determined based on the level 3 equipment condition test results, the system link parameter set of the pure water preparation system is collected, and a level 4 link operation test is performed on the system link parameter set to obtain the level 4 link operation test results. Based on the level 4 link operation test results, it is determined whether a level 4 risk exists. S5. When a level 4 risk is determined based on the level 4 link operation detection results, the environmental linkage parameter set of the pure water preparation system is collected, and a level 5 environmental linkage detection is performed on the environmental linkage parameter set to obtain the level 5 environmental linkage detection results. Based on the level 5 environmental linkage detection results, it is determined whether a level 5 risk exists. S6. When a level 5 risk is determined based on the results of the five-level environmental linkage detection, the results of the first-level basic water quality detection, the second-level core water quality detection, the third-level equipment operation detection, the fourth-level link operation detection, and the fifth-level environmental linkage detection are summarized to obtain the full-dimensional source traceability characteristics. The full-dimensional source traceability characteristics are then used to generate an adaptive matching control strategy, which is then output to the pure water preparation system.

2. The intelligent control method for pure water preparation based on step-by-step detection according to claim 1, characterized in that, The method further includes: after the pure water preparation system receives and executes the adaptive matching control strategy, it re-enters step S1 until the set risk termination condition is met, and controls the pure water preparation system to output pure water.

3. The intelligent control method for pure water preparation based on step-by-step detection according to claim 1, characterized in that, The basic water quality parameter set includes several basic water quality parameters, including turbidity, pH value, instantaneous influent flow rate, and basic salinity. The determination of whether there is a level 1 risk based on the primary basic water quality test results includes: if the primary basic water quality test results confirm that any basic water quality parameter in the basic water quality parameter set is abnormal, then a level 1 risk is determined to exist; if the primary basic water quality test results confirm that no basic water quality parameter in the basic water quality parameter set is abnormal, then a level 1 risk is determined not to exist.

4. The intelligent control method for pure water preparation based on step-by-step detection according to claim 1, characterized in that, The core water quality parameter set includes several core water quality parameters, including TDS content, heavy metal ion content, initial microbial concentration, and colloidal particulate matter content. The determination of whether there is a secondary risk based on the secondary core water quality test results includes: if the secondary core water quality test results confirm that any core water quality parameter in the core water quality parameter set is abnormal, then a secondary risk is determined to exist; if the secondary core water quality test results confirm that no core water quality parameter in the core water quality parameter set is abnormal, then no secondary risk is determined to exist.

5. The intelligent control method for pure water preparation based on step-by-step detection according to claim 1, characterized in that, The equipment operating parameter set includes several equipment operating parameters, including the RO membrane inlet and outlet pressure difference, filter element clogging rate, booster pump operating frequency, solenoid valve opening and closing accuracy, and filter component wear level. The determination of whether there is a level 3 risk based on the level 3 equipment operating parameter test results includes: if the level 3 equipment operating parameter set is confirmed to be abnormal according to the level 3 equipment operating parameter test results, then a level 3 risk is determined to exist; if the level 3 equipment operating parameter set is confirmed to be free of abnormal equipment operating parameters according to the level 3 equipment operating parameter test results, then a level 3 risk is determined to not exist.

6. The intelligent control method for pure water preparation based on step-by-step detection according to claim 1, characterized in that, The system link parameter set includes several system link parameters, including pipeline water flow resistance, equipment flow distribution balance, system pressure stability, wastewater recovery rate, and timing temperature control accuracy. The determination of whether a level four risk exists based on the four-level link operation detection results includes: if any system link parameter in the system link parameter set is found to be abnormal according to the four-level link operation detection results, then a level four risk is determined to exist; if no system link parameter in the system link parameter set is found to be abnormal according to the four-level link operation detection results, then a level four risk is determined not to exist.

7. The intelligent control method for pure water preparation based on step-by-step detection according to claim 1, characterized in that, The environmental linkage parameter set includes several environmental linkage parameters, including ambient temperature, ambient humidity, airborne particulate matter concentration, influent water temperature fluctuation range, and electromagnetic interference intensity. The determination of whether there is a level 5 risk based on the level 5 environmental linkage detection results includes: if any environmental linkage parameter in the environmental linkage parameter set is found to be abnormal according to the level 5 environmental linkage detection results, then a level 5 risk is determined to exist; if no environmental linkage parameter in the environmental linkage parameter set is found to be abnormal according to the level 5 environmental linkage detection results, then a level 5 risk is determined not to exist.

8. The intelligent control method for pure water preparation based on step-by-step detection according to claim 1, characterized in that, The method of generating an adaptive matching and control strategy using full-dimensional source tracing features includes: importing full-dimensional source tracing features into a pre-trained large model for strategy generation to obtain the corresponding adaptive matching and control strategy.

9. A pure water preparation intelligent control system based on step-by-step detection, characterized in that, It includes a primary basic water quality testing module, a secondary core water quality testing module, a tertiary equipment condition testing module, a quaternary link operation testing module, a quinary environmental linkage testing module, an intelligent source tracing and matching control module, and a time-series logic linkage control module, among which: The primary basic water quality testing module is used to collect a set of basic water quality parameters of the incoming water source during the operation of the pure water preparation system, and to perform primary basic water quality testing on the set of basic water quality parameters to obtain the primary basic water quality testing results. Based on the primary basic water quality testing results, it is determined whether there is a primary risk. The secondary core water quality detection module is used to collect the core water quality parameter set of the influent water source when the primary basic water quality detection results indicate the existence of a primary risk. It then performs secondary core water quality detection on the core water quality parameter set to obtain the secondary core water quality detection results and determines whether a secondary risk exists based on the secondary core water quality detection results. The Level 3 Equipment Condition Detection Module is used to collect the equipment condition parameter set of the pure water preparation system when a Level 2 risk is determined based on the Level 2 core water quality test results. It then performs Level 3 equipment condition detection on the equipment condition parameter set to obtain the Level 3 equipment condition detection results and determines whether a Level 3 risk exists based on the Level 3 equipment condition detection results. The Level 4 Link Operation Detection Module is used to collect the system link parameter set of the pure water preparation system when a Level 3 risk is determined based on the Level 3 equipment operation condition detection results. It then performs Level 4 link operation detection on the system link parameter set to obtain the Level 4 link operation detection results and determines whether a Level 4 risk exists based on the Level 4 link operation detection results. The Level 5 Environmental Linkage Detection Module is used to collect the environmental linkage parameter set of the pure water preparation system when a Level 4 risk is determined based on the Level 4 link operation detection results. It then performs Level 5 environmental linkage detection on the environmental linkage parameter set to obtain the Level 5 environmental linkage detection results and determines whether a Level 5 risk exists based on the Level 5 environmental linkage detection results. The intelligent source tracing and matching control module is used to summarize the first-level basic water quality test results, the second-level core water quality test results, the third-level equipment operation test results, the fourth-level link operation test results, and the fifth-level environmental linkage test results when a level 5 risk is determined based on the five-level environmental linkage test results. This results in a full-dimensional source tracing feature, which is then used to generate an adaptive matching control strategy and output the adaptive matching control strategy to the pure water preparation system. The timing logic linkage control module is used to perform timing logic control on the primary basic water quality detection module, the secondary core water quality detection module, the tertiary equipment condition detection module, the quaternary link operation detection module, the 5th environmental linkage detection module, and the intelligent traceability matching and control module.

10. A pure water preparation intelligent control system based on step-by-step detection, characterized in that, include: Memory, used to store instructions; A processor is configured to read instructions stored in the memory and execute the intelligent control method for pure water preparation based on step-by-step detection as described in any one of claims 1-8 according to the instructions.

Images