A distributed seawater desalination equipment cluster intelligent cloud control system

Abstract

The present application relates to the technical field of seawater desalination equipment control, and particularly relates to a distributed seawater desalination equipment cluster intelligent cloud control system, seawater desalination data and seawater change data containing tidal parameters and water quality indexes are obtained in real time through a parameter acquisition module deployed in a distributed containerized / skid-mounted desalination equipment; an information processing module divides an operation characteristic period based on equipment location distribution and tidal phase, and dynamically configures a cluster operation mode according to water quality fluctuation data, including switching equipment group states according to tidal phase and linkage adjustment of operation parameters and dosing amount. At the same time, by constructing a dynamic performance threshold interval of tidal period and geographical grouping, seawater desalination stable characterization parameters are generated to strip environmental interference, abnormal equipment is accurately identified, and a cloud control module is triggered to perform parameter compensation. The system realizes efficient utilization of tidal energy and preventive control of pollution, and significantly improves the cluster resilience and resource utilization efficiency.

Description

Technical Field

[0001] This invention relates to the field of seawater desalination equipment control technology, and in particular to an intelligent cloud control system for a distributed seawater desalination equipment cluster. Background Technology

[0002] Existing seawater desalination cluster control technologies primarily rely on cloud-based intelligent scheduling systems and distributed equipment collaboration mechanisms to achieve efficient operation. This system collects real-time data on water quality fluctuations and equipment operating parameters at each desalination site, and constructs a dynamic performance evaluation model based on historical databases. It automatically matches differentiated operating strategies, such as pretreatment enhancement, membrane flux compensation, or recovery rate adjustment, according to changes in turbidity, salinity, and pollutant concentration, effectively mitigating membrane fouling risks and optimizing system energy consumption. Simultaneously, the system integrates multi-source, multi-load coordination technology. By analyzing the matching relationship between seawater desalination load characteristics and renewable energy power generation, it dynamically adjusts the start-up and shutdown status and output level of the equipment cluster, achieving efficient utilization of clean energy.

[0003] Chinese Patent Publication No. CN113255984B discloses a cluster optimization scheduling method for seawater desalination load to absorb abandoned wind power. The method includes: establishing a seawater desalination unit operation model and calculating the water production Vt and freshwater volume RV,t of the seawater desalination unit; calculating the operating power limit of the seawater desalination unit based on residential water demand, the freshwater volume of the storage tank, and the storage volume of the storage tank, with the minimum energy consumption cost Cdesal of the seawater desalination plant as the objective function, and using the utilization rate of abandoned wind power, the power purchased by the grid, the energy consumption of the seawater desalination load, the start-up and shutdown of the seawater desalination unit, and the storage volume of the storage tank as constraints, to construct a cluster scheduling model for the seawater desalination unit. However, this method has the following problems: it does not consider the different effects of phase change on the seawater desalination efficiency on different days, affecting the judgment and adjustment of the cluster equipment's operation. Summary of the Invention

[0004] To address this issue, the present invention provides an intelligent cloud-based control system for a distributed seawater desalination equipment cluster, which overcomes the problem in the prior art that does not consider the different effects of the phase change process on the seawater desalination efficiency on different days, thus affecting the judgment and adjustment of the cluster equipment's operation.

[0005] To achieve the above objectives, the present invention provides a distributed seawater desalination equipment cluster intelligent cloud control system, comprising: a plurality of container / skid-mounted seawater desalination equipment distributed in a seawater desalination area, and further comprising: a desalination parameter acquisition module installed in each of the seawater desalination equipment for collecting seawater desalination data, an information processing module for acquiring the seawater desalination data and seawater change data through wireless transmission, and a cloud control module for controlling each of the seawater desalination equipment in response to the information processing results;

[0006] The information processing module is equipped with a cloud database to store historical seawater desalination data, corresponding seawater change data, and cloud databases of operating parameters of various seawater desalination equipment. The seawater change data includes various tidal data and water quality fluctuation data, and the water quality fluctuation data includes seawater turbidity, salinity, and pollutant concentration.

[0007] The information processing module is configured to: divide the tidal cycle into several operating characteristic time periods according to the current tidal phase; determine the cluster operation mode of each operating characteristic time period according to the location distribution of each seawater desalination device and water quality fluctuation data; and determine the seawater desalination stability characterization parameters of the seawater desalination device cluster according to the seawater desalination data to characterize the balance of the coordinated operation of the seawater desalination device cluster, determine whether the current seawater desalination cluster is working normally, and if not, adjust the seawater desalination devices according to the current cluster operation mode.

[0008] The cloud control module is configured to adjust the operating parameters of each of the seawater desalination devices in response to the determination of the cluster operation mode.

[0009] As a preferred technical solution for the intelligent cloud control system of distributed seawater desalination equipment clusters, the desalination parameter acquisition module includes:

[0010] The flow acquisition unit group includes an inlet flow acquisition device installed at the inlet of the seawater desalination equipment and an outlet flow acquisition device installed at the outlet of the corresponding seawater desalination equipment.

[0011] The pressure acquisition unit includes several pressure acquisition devices for acquiring the operating pressure of the seawater desalination equipment.

[0012] The number of pressure acquisition devices is the same as the number of flow acquisition units.

[0013] As a preferred technical solution for the intelligent cloud control system for distributed seawater desalination equipment clusters, the information processing module determines the normal desalination efficiency range of the seawater desalination equipment located at each location within each characteristic time period based on the historical tidal data in the cloud database, the seawater desalination equipment distributed at different locations in the seawater desalination area, and the corresponding historical seawater desalination data.

[0014] As a preferred technical solution for the intelligent cloud control system of distributed seawater desalination equipment clusters, the information processing module dynamically configures the cluster operation mode based on the water quality fluctuation data within the divided time periods of each operation characteristic.

[0015] If the turbidity is higher than the first turbidity threshold and the salinity is lower than the first salinity threshold, the cluster operation mode is reverse pressure flushing mode.

[0016] If the turbidity is lower than the second turbidity threshold and the salinity is higher than the second salinity threshold, the cluster operation mode is to start the boost protection mode;

[0017] If the concentration of the pollutant exceeds the first pollutant concentration threshold, the cluster operation mode is the dosing mode.

[0018] As a preferred technical solution for the intelligent cloud control system for distributed seawater desalination equipment clusters, the information processing module determines the actual desalination efficiency of seawater desalination equipment at different locations and the standard desalination efficiency of seawater desalination equipment at different locations within the current characteristic time period based on the seawater desalination data.

[0019] The information processing module determines the seawater desalination characterization factor based on the ratio of the actual desalination efficiency of the seawater desalination equipment to the standard desalination efficiency at the same location within the same characteristic time period, and determines the seawater desalination stability characterization parameter based on the ratio of the average deviation of the seawater desalination characterization factor to its average value.

[0020] As a preferred technical solution for the intelligent cloud control system of distributed seawater desalination equipment clusters, the information processing module determines whether the current seawater desalination cluster is working normally based on the seawater desalination stability characterization parameters, including:

[0021] If the seawater desalination stability characterization parameter exceeds the standard desalination stability characterization parameter, the information processing module determines that the current seawater desalination cluster is malfunctioning.

[0022] As a preferred technical solution for the intelligent cloud control system for distributed seawater desalination equipment clusters, the information processing module identifies seawater desalination equipment with a seawater desalination characterization factor of less than 1 as adjustment equipment.

[0023] As a preferred technical solution for the intelligent cloud control system of distributed seawater desalination equipment clusters, the information processing module adjusts the operating parameters or dosage of the seawater desalination equipment based on the current cluster operation mode and water quality fluctuation data.

[0024] The adjustment amount of the operating parameters or the dosage is positively correlated with the difference between the corresponding seawater desalination characterization factor and 1.

[0025] As a preferred technical solution for the intelligent cloud control system of distributed seawater desalination equipment cluster, the cloud control module switches the cluster operation status of the seawater desalination equipment cluster in response to the determination result of the cluster operation mode.

[0026] The cloud control module adjusts the fade parameters of the corresponding adjustment device in response to the adjustment amount determined by the information processing module for each adjustment device.

[0027] The cloud control module adjusts the fade parameters of the corresponding adjustment device in response to the adjustment amount determined by the information processing module for each adjustment device.

[0028] Compared with existing technologies, the advantages of this invention lie in its deep integration of tidal dynamics and water quality fluctuation patterns, enabling autonomous collaborative optimization of desalination equipment clusters in complex marine environments. The system utilizes continuously accumulated historical operational data from a cloud database to construct a dynamic performance evaluation system based on tidal characteristic periods and equipment spatial distribution. When real-time monitored water quality parameters form a specific coupling relationship with tidal phases, the system automatically triggers differentiated operating modes. This allows nearshore equipment groups to utilize high tide potential energy for self-cleaning, high-altitude equipment groups to initiate pressure compensation during low tide, and mid-range equipment groups to dynamically adjust reagent dosage and recovery rates based on pollutant types. This cluster collaborative mechanism based on environmental situation awareness fully leverages the locational advantages of distributed equipment and significantly reduces the overall system load through tidal energy recovery and pollution prevention control. Simultaneously, by establishing a relative performance evaluation model for equipment that eliminates spatiotemporal interference, the system can sensitively identify performance deviation units within the group and proactively implement precise parameter compensation even before absolute efficiency values ​​become abnormal. The entire control process forms an autonomous optimization cycle from environmental perception to strategy generation and then to closed-loop adjustment, which not only ensures the continuous and stable quality of produced water, but also greatly improves the resilience of the equipment cluster in the face of marine environmental fluctuations and the efficiency of resource utilization.

[0029] In particular, this invention divides the tidal cycle into three operating characteristic periods: strong, moderate, and weak. Based on the intake elevation and distance from the shore, the desalination equipment is categorized into near-shore low-lift, mid-lift, and high-elevation groups. The information processing module retrieves historical desalination efficiency data for the same group of equipment within the corresponding time period from the cloud database, removing invalid records such as shutdowns and cleaning. A confidence interval method is used to calculate the normal desalination efficiency range for each group. The threshold range is dynamically updated according to the tidal stage and geographical location, and compared with the real-time desalination efficiency. If a deviation is detected, the cloud control module adjusts the operating parameters of the corresponding equipment, avoiding the need for additional hardware. Data and algorithms reduce errors in anomaly detection and lower maintenance frequency.

[0030] In particular, in this invention, the information processing module takes water quality fluctuation data as its core, continuously compares the real-time values ​​of turbidity, salinity and pollutant concentration during the three operating characteristic periods of high energy period, low energy period and low energy period, and couples them with the preset thresholds of the corresponding periods to determine the cluster operation mode. The thresholds are calibrated based on historical event retrospective, evaporation and concentration test and biotoxicity test, and are adjusted differently in different tidal stages, thereby reducing the membrane fouling rate and reducing the frequency of cleaning and chemical consumption while ensuring continuous water production.

[0031] In particular, in this invention, the information processing module first compares the actual desalination efficiency of each seawater desalination device within the corresponding characteristic time period with the historical standard desalination efficiency of the same location and time period in the cloud database to obtain a seawater desalination characterization factor in the form of a relative value. Then, it generates a seawater desalination stability characterization parameter by the ratio of the average deviation to the average value of the seawater desalination characterization factors of all devices. The parameter normalizes the objective impact of tidal energy fluctuations and geographical potential differences, so that the evaluation results no longer depend on absolute efficiency, but can directly reflect the balance of coordinated operation among devices. When the seawater desalination stability characterization parameter exceeds the standard desalination stability characterization parameter range formed by subtracting twice the standard deviation from the historical data average value, it can identify progressive performance degradation or abnormal devices in advance, triggering the cloud control module to isolate the weak link and optimize the load distribution, thereby maintaining the consistency and reliability of the overall cluster operation. Attached Figure Description

[0032] Figure 1 This is a schematic diagram of the structure of the intelligent cloud control system for a distributed seawater desalination equipment cluster according to an embodiment of the present invention;

[0033] Figure 2 This is a control logic diagram for switching cluster operation modes according to an embodiment of the present invention;

[0034] Figure 3 This is a logic diagram for determining whether the current seawater desalination cluster is working properly, as shown in an embodiment of the present invention. Detailed Implementation

[0035] To make the objectives and advantages of the present invention clearer, the present invention will be further described below with reference to embodiments; it should be understood that the specific embodiments described herein are merely for explaining the present invention and are not intended to limit the present invention.

[0036] Preferred embodiments of the present invention will now be described with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0037] It should be noted that in the description of this invention, the terms "upper", "lower", "left", "right", "inner", "outer", etc., which indicate directions or positional relationships, are based on the directions or positional relationships shown in the accompanying drawings. This is only for the convenience of description and is not intended to indicate or imply that the device or element must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, it should not be construed as a limitation of this invention.

[0038] Furthermore, it should be noted that, in the description of this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0039] Please see Figure 1 As shown, it is a structural schematic diagram of the distributed seawater desalination equipment cluster intelligent cloud control system according to an embodiment of the present invention; the present invention provides a distributed seawater desalination equipment cluster intelligent cloud control system, including a number of container / skid-mounted seawater desalination equipment distributed in a seawater desalination area, and further including: a desalination parameter acquisition module installed in each of the seawater desalination equipment for collecting seawater desalination data, an information processing module for acquiring the seawater desalination data and seawater change data through wireless transmission, and a cloud control module for controlling each of the seawater desalination equipment in response to the information processing results;

[0040] The information processing module is equipped with a cloud database to store historical seawater desalination data, corresponding seawater change data, and cloud databases of operating parameters of various seawater desalination equipment. The seawater change data includes various tidal data and water quality fluctuation data, and the water quality fluctuation data includes seawater turbidity, salinity, and pollutant concentration.

[0041] The information processing module is configured to: divide the tidal cycle into several operating characteristic time periods according to the current tidal phase; determine the cluster operation mode of each operating characteristic time period according to the location distribution of each seawater desalination device and water quality fluctuation data; and determine the seawater desalination stability characterization parameters of the seawater desalination device cluster according to the seawater desalination data to characterize the balance of the coordinated operation of the seawater desalination device cluster, determine whether the current seawater desalination cluster is working normally, and if not, adjust the seawater desalination devices according to the current cluster operation mode.

[0042] The cloud control module is configured to adjust the operating parameters of each of the seawater desalination devices in response to the determination of the cluster operation mode.

[0043] During implementation, various tidal data include tidal height, rise and fall cycle, and flow velocity; water quality fluctuation data include seawater turbidity, salinity, and pollutant concentration; and seawater desalination data include influent flow rate, effluent flow rate, pressure difference, type of chemical added, and dosage.

[0044] This invention achieves autonomous collaborative optimization of desalination equipment clusters in complex marine environments by deeply integrating tidal dynamics and water quality fluctuation patterns. The system utilizes continuously accumulated historical operational data from a cloud database to construct a dynamic performance evaluation system based on tidal characteristic periods and equipment spatial distribution. When real-time monitored water quality parameters form a specific coupling relationship with tidal phases, the system automatically triggers differentiated operating modes. Nearshore equipment groups utilize high tide potential energy for self-cleaning, high-altitude equipment groups initiate pressure compensation during low tide, and mid-range equipment groups dynamically adjust reagent dosage and recovery rates according to pollutant type. This cluster collaborative mechanism based on environmental situation awareness fully leverages the locational advantages of distributed equipment and significantly reduces the overall system load through tidal energy recovery and pollution prevention control. Simultaneously, by establishing a relative performance evaluation model for equipment that eliminates spatiotemporal interference, the system can sensitively identify performance deviation units within the cluster and proactively implement precise parameter compensation even before absolute efficiency values ​​become abnormal. The entire control process forms an autonomous optimization cycle from environmental perception to strategy generation and closed-loop adjustment, significantly improving the resilience and resource utilization efficiency of the equipment cluster in the face of marine environmental fluctuations while ensuring continuous and stable water quality.

[0045] Specifically, the fade parameter acquisition module includes:

[0046] The flow acquisition unit group includes an inlet flow acquisition device installed at the inlet of the seawater desalination equipment and an outlet flow acquisition device installed at the outlet of the corresponding seawater desalination equipment.

[0047] The pressure acquisition unit includes several pressure acquisition devices for acquiring the operating pressure of the seawater desalination equipment.

[0048] The number of pressure acquisition devices is the same as the number of flow acquisition units.

[0049] In implementation, the influent flow rate acquisition equipment uses electromagnetic or ultrasonic sensors, installed at a distance of five times the pipe diameter upstream and three times the pipe diameter downstream of the straight pipe section to avoid flow disturbance at bends. The effluent flow rate acquisition equipment is installed before the product water main pipe to calculate the recovery rate in real time. The pressure acquisition equipment uses diaphragm pressure transmitters with a range of 0–1.0 MPa and an accuracy of 0.25, and is arranged at the inlet and outlet of the membrane modules in the seawater desalination equipment.

[0050] Understandably, the flow acquisition unit group and the pressure acquisition unit are arranged in a one-to-one correspondence, so that the flow and pressure signals appear in pairs in the acquisition chain. This allows the load and resistance relationship of each device to be completely mapped to the cloud, which facilitates subsequent diagnosis of the operational health of individual machines and also facilitates hydraulic balance correction at the cluster level.

[0051] Please see Figure 2As shown, it is a control logic diagram for switching the cluster operation mode in an embodiment of the present invention. The information processing module determines the normal desalination efficiency range of the desalination equipment located at each location in each characteristic time period based on the historical tidal data in the cloud database, the seawater desalination equipment distributed in different locations in the seawater desalination area, and the corresponding historical seawater desalination data.

[0052] In implementation, based on historical tidal data, with a time span of no less than 15 days, preferably one month, the tidal cycle is divided into a strong energy operation characteristic period, a gentle operation characteristic period, and a weak energy operation characteristic period. The strong energy operation characteristic period corresponds to the high tide level during spring tides, with a tide height greater than 3 meters. The gentle operation characteristic period corresponds to the normal tide level, with a tide height of 1 to 3 meters. The weak energy operation characteristic period corresponds to the low tide level during neap tides, such as a tide height less than 1 meter. The range of tide height values ​​can be adaptively adjusted according to local conditions.

[0053] The location distribution of seawater desalination equipment in the seawater desalination area is divided into the following groups according to the elevation of the water intake and the distance from the coast: near-shore low-lift group (less than 50 meters from the shore, elevation less than 2 meters), medium-range transition group (50 to 200 meters from the shore, elevation 2 to 5 meters), and high-elevation group (more than 200 meters from the shore, elevation greater than 5 meters).

[0054] The operating pressure of near-shore low-lift pumps fluctuates greatly. During high tide, high natural water pressure is used for backwashing; during low tide, pumping is required to supplement the pressure.

[0055] The operating pressure of the mid-range transition group remains at a moderate and stable level, with a focus on responding to sudden changes in water quality.

[0056] The high-altitude group operates under higher pressure than the other two groups, and pressure compensation is initiated during low tide to overcome pressure loss caused by elevation and distance.

[0057] The operating pressure of the three sets of seawater desalination equipment was obtained by collecting historical operating big data from different geographical locations and different tidal periods over a long period of time. The dynamic, grouped, and time-segmented pressure threshold ranges were obtained using statistical methods. Furthermore, the operating pressures varied under conditions of no water quality fluctuations during different operating characteristic time periods.

[0058] The normal desalination efficiency range is determined by retrieving historical desalination efficiency data from the cloud database for the same group of equipment during the same time period. The water production rate is calculated as the ratio of freshwater flow rate to influent flow rate, excluding invalid records such as those from shutdowns or cleaning. The normal desalination efficiency range for each type of seawater desalination equipment is determined by grouping the equipment according to its location and operating characteristics over specific time periods. The range can be determined by dividing the corresponding efficiency into quarter and third-quarter sections, or by using confidence intervals. In this implementation, confidence intervals are preferred.

[0059] In this invention, the system divides the tidal cycle into three operating characteristic periods: strong, moderate, and weak. Based on the intake elevation and distance from the shore, the seawater desalination equipment is categorized into near-shore low-lift, mid-range transition, and high-elevation groups. The information processing module retrieves historical desalination efficiency data for the same group of equipment within the corresponding time period from the cloud database, removing invalid records such as shutdowns and cleaning. A confidence interval method is used to calculate the normal desalination efficiency range for each group. The threshold range is dynamically updated according to the tidal stage and geographical location and compared with the real-time desalination efficiency. If a deviation is detected, the cloud control module adjusts the operating parameters of the corresponding equipment, avoiding the need for additional hardware. Data and algorithms reduce anomaly detection errors and lower maintenance frequency.

[0060] Specifically, the information processing module dynamically configures the cluster operation mode based on the water quality fluctuation data within the divided operation characteristic time periods;

[0061] If the turbidity is higher than the first turbidity threshold and the salinity is lower than the first salinity threshold, the cluster operation mode is reverse pressure flushing mode.

[0062] If the turbidity is lower than the second turbidity threshold and the salinity is higher than the second salinity threshold, the cluster operation mode is to start the boost protection mode;

[0063] If the concentration of the pollutant exceeds the first pollutant concentration threshold, the cluster operation mode is the dosing mode.

[0064] Understandably, the information processing module enables precise and coordinated control of the equipment group under different sea conditions by quantifying the correlation rules between seawater turbidity, salinity, and pollutant concentration and the current operating characteristic time period, thereby meeting the differentiated operating needs in complex environments.

[0065] During implementation, the information processing module receives water quality monitoring data in real time and performs joint analysis of turbidity, salinity, and pollutant concentration with the current high-energy period, low-energy period, or low-energy period. Once the preset rules are met, the corresponding mode is activated immediately.

[0066] If the turbidity is higher than the first turbidity threshold for that period and the salinity is lower than the first salinity threshold, it is determined to be a scenario of a surge in suspended solids and dilution of salinity. The system then instructs the nearshore low-lift equipment group in the cluster to perform reverse pressure flushing using the natural water pressure of high tide to remove particulate matter adhering to the membrane module surface via reverse water flow. The first turbidity threshold is calibrated using the average turbidity value one hour prior to membrane fouling, while the first salinity threshold is determined using the salinity baseline during the freshwater injection period.

[0067] If the turbidity is below the second turbidity threshold and the salinity is above the second salinity threshold, it is determined that the water is clear but salt is concentrated during low tide. The high-altitude equipment group in the cluster is then instructed to activate pressurization protection. This compensates for the pressure loss of the influent caused by the drop in tide level by increasing the output pressure of the high-pressure pump, preventing a sudden drop in membrane flux. The second turbidity threshold is taken as the upper limit of typical turbidity fluctuations during a neap tide, while the second salinity threshold is determined through evaporation and concentration tests to identify the inflection point for accelerated scaling.

[0068] If the contaminant concentration exceeds the first contaminant concentration threshold, such as in the event of an oil spill or red tide toxins, the system's mid-range transition group simultaneously executes a combination of enhanced chemical dosing and reduced recovery rate. This involves increasing the dosage of the corresponding chemical based on the contaminant type, adding a demulsifier in the case of oil spills, and simultaneously reducing the system recovery rate to alleviate membrane fouling load. This contaminant threshold is determined based on biotoxicity testing or membrane damage testing, and is calibrated by observing the contaminant concentration at the point of abrupt change in membrane performance degradation.

[0069] If all water quality parameters are within the baseline threshold range, the system will maintain the current operating parameters of the entire cluster and continue routine monitoring.

[0070] Furthermore, to adapt to differences in tidal periods, differentiated thresholds are applied to the same water quality parameter at different tidal stages: during high tide (strong energy period), the first turbidity threshold is proactively relaxed to allow for higher suspended solids due to sufficient natural water pressure; during low tide (weak energy period), the second salinity threshold is tightened to strengthen defense against scaling from concentrated seawater. The corresponding threshold adjustments are determined by extracting water quality anomaly event data from the past three years and analyzing the correlation between water quality fluctuation data and the inflection point of desalination efficiency.

[0071] If the information processing module detects a change in the operating characteristic time period, it will switch the operating status of the corresponding equipment group.

[0072] In this invention, the information processing module uses water quality fluctuation data as its core. It continuously compares real-time values ​​of turbidity, salinity, and pollutant concentration during three operational characteristic periods: high-energy period, low-energy period, and low-energy period. These values ​​are then coupled with preset thresholds for the corresponding periods to determine the cluster operation mode. When the combination of turbidity and salinity triggers the first rule, the nearshore low-lift equipment group uses high tide pressure for backwashing. When the combination of turbidity and salinity triggers the second rule, the high-elevation equipment group activates pressurization protection. When the pollutant concentration triggers the third rule, the mid-range transition group simultaneously increases the dosage and decreases the recovery rate. If all parameters fall within the baseline range, the existing operating conditions are maintained. The thresholds are calibrated based on historical event retrospectives, evaporation concentration tests, and biotoxicity tests, and are adjusted differentially at different tidal stages. This ensures continuous water production while reducing membrane fouling rates, decreasing cleaning frequency, and reducing reagent consumption.

[0073] Please see Figure 3As shown, it is a logic diagram for determining whether the current seawater desalination cluster is working normally according to an embodiment of the present invention. The information processing module determines the actual desalination efficiency of the seawater desalination equipment at different locations and the standard desalination efficiency of the seawater desalination equipment at different locations within the current characteristic time period based on the seawater desalination data.

[0074] The information processing module determines the seawater desalination characterization factor based on the ratio of the actual desalination efficiency of the seawater desalination equipment to the standard desalination efficiency at the same location within the same characteristic time period, and determines the seawater desalination stability characterization parameter based on the ratio of the average deviation of the seawater desalination characterization factor to its average value.

[0075] Understandably, tidal energy fluctuations and geographical potential differences lead to a non-uniform spatiotemporal distribution of equipment efficiency. Traditional absolute efficiency values ​​often mask the true state of the equipment because they cannot isolate environmental interference. However, by constructing a dynamic threshold range that intersects tidal characteristic time periods and spatial groupings based on historical efficiency data from the same location and time period, we can eliminate the evaluation interference caused by objective environmental changes. We can also transform the actual equipment efficiency into a seawater desalination characterization factor and isolate the influence of spatiotemporal variables through relative value normalization.

[0076] Furthermore, equipment performance degradation often exhibits a gradual characteristic, such as a slow decline in membrane flux, making it difficult to identify early on with a single threshold. This implementation characterizes the balance changes in the coordinated operation among equipment using seawater desalination stability parameters. Increased dispersion reflects that the relative performance of some equipment continuously deviates from the group level, exceeding the absolute threshold earlier. If the seawater desalination stability parameter is low, it indicates that the overall desalination efficiency of the seawater desalination equipment cluster exhibits low dispersion, suggesting good coordination among the equipment group. Conversely, if the seawater desalination stability parameter is high, it indicates that the overall desalination efficiency of the seawater desalination equipment cluster exhibits high dispersion, suggesting the existence of equipment with performance shortcomings, requiring risk isolation and load allocation optimization.

[0077] Specifically, the information processing module determines whether the current seawater desalination cluster is operating normally based on the seawater desalination stability characterization parameters, including:

[0078] If the seawater desalination stability characterization parameter exceeds the standard desalination stability characterization parameter, the information processing module determines that the current seawater desalination cluster is malfunctioning.

[0079] In implementation, the standard desalination stability characterization parameters are determined based on the range formed by the difference between the average value of the seawater desalination stability characterization parameters and twice the standard deviation of the parameters for which no adjustment is required in historical data from the same operating period. Statistically, approximately 95% of data under a normal distribution lies within the range of the average value ± 2 standard deviations. Using this range as a reference effectively filters out the interference of extreme outliers, making the standard more stable and reliable.

[0080] In this invention, the information processing module first compares the actual desalination efficiency of each seawater desalination device within the corresponding characteristic time period with the historical standard desalination efficiency of the same location and time period in the cloud database to obtain a seawater desalination characterization factor in the form of a relative value. Then, it generates a seawater desalination stability characterization parameter by the ratio of the average deviation to the average value of the seawater desalination characterization factors of all devices. The parameter normalizes the objective impact of tidal energy fluctuations and geographical potential differences, so that the evaluation results no longer depend on absolute efficiency, but can directly reflect the balance of coordinated operation among devices. When the seawater desalination stability characterization parameter exceeds the standard desalination stability characterization parameter range formed by subtracting twice the standard deviation from the historical data average value, it can identify progressive performance degradation or abnormal devices in advance, triggering the cloud control module to isolate the weak link and optimize the load distribution, thereby maintaining the consistency and reliability of the overall cluster operation.

[0081] Specifically, the information processing module identifies seawater desalination equipment with a seawater desalination characterization factor of less than 1 as adjustment equipment.

[0082] Understandably, a factor less than 1 indicates that the equipment's operational efficiency under the current spatiotemporal environment is significantly lagging behind the normal level of similar equipment. For example, if the factor value of a certain nearshore equipment during high tide is 0.9, it means that its conversion efficiency of utilizing the natural potential energy of high tide is 10% lower than that of equipment in the same group. In this case, the influence of tidal conditions can be ruled out, and the focus can be placed directly on intrinsic defects such as membrane fouling or pump leakage. This screening mechanism allows maintenance personnel to accurately focus on individual equipment with genuine anomalies, avoiding ineffective interventions for the natural decline in efficiency caused by increased water intake resistance during low tide, and significantly improving the efficiency of maintenance resource utilization.

[0083] Specifically, the information processing module adjusts the operating parameters or dosage of the seawater desalination equipment based on the current cluster operation mode and water quality fluctuation data;

[0084] The adjustment amount of the operating parameters or the dosage is positively correlated with the difference between the corresponding seawater desalination characterization factor and 1.

[0085] Specifically, the cloud control module switches the cluster operation status of the seawater desalination equipment cluster in response to the determination result of the cluster operation mode;

[0086] The cloud control module adjusts the fade parameters of the corresponding adjustment device in response to the adjustment amount determined by the information processing module for each adjustment device.

[0087] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

[0088] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. 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 distributed seawater desalination equipment cluster intelligent cloud control system, comprising several containerized / skid-mounted seawater desalination devices distributed in a seawater desalination area, characterized in that, include: The desalination parameter acquisition module is installed in each of the aforementioned seawater desalination devices for collecting seawater desalination data, the information processing module for acquiring the seawater desalination data and seawater change data, and the cloud control module for controlling each of the aforementioned seawater desalination devices in response to the information processing results. The information processing module is equipped with a cloud database to store historical seawater desalination data, corresponding seawater change data, and operating parameters of each seawater desalination device. The seawater change data includes various tidal data and water quality fluctuation data, and the water quality fluctuation data includes seawater turbidity, salinity, and pollutant concentration. The information processing module is configured to: divide the tidal cycle into several operating characteristic time periods according to the current tidal phase; determine the cluster operation mode of each operating characteristic time period according to the location distribution of each seawater desalination device and water quality fluctuation data; and determine the seawater desalination stability characterization parameters of the seawater desalination device cluster according to the seawater desalination data to characterize the balance of the coordinated operation of the seawater desalination device cluster, determine whether the current seawater desalination cluster is working normally, and if not, adjust the seawater desalination devices according to the current cluster operation mode. The information processing module determines the actual desalination efficiency of the seawater desalination equipment at different locations and the standard desalination efficiency of the seawater desalination equipment at different locations within the current characteristic time period based on the seawater desalination data. The information processing module determines the seawater desalination characterization factor based on the ratio of the actual desalination efficiency of the seawater desalination equipment to the standard desalination efficiency at the same location within the same characteristic time period, and determines the seawater desalination stability characterization parameter based on the ratio of the average deviation of the seawater desalination characterization factor to its average value. The information processing module determines whether the current seawater desalination cluster is operating normally based on the seawater desalination stability characterization parameters, including: If the seawater desalination stability characterization parameter exceeds the standard desalination stability characterization parameter, the information processing module determines that the current seawater desalination cluster is malfunctioning. The cloud control module is configured to adjust the operating parameters of each of the seawater desalination devices in response to the determination of the cluster operation mode.

2. The intelligent cloud control system for distributed seawater desalination equipment clusters according to claim 1, characterized in that, The desalination parameter acquisition module includes: The flow acquisition unit group includes an inlet flow acquisition device installed at the inlet of the seawater desalination equipment and an outlet flow acquisition device installed at the outlet of the corresponding seawater desalination equipment. The pressure acquisition unit includes several pressure acquisition devices for acquiring the operating pressure of the seawater desalination equipment. The number of pressure acquisition devices is the same as the number of flow acquisition units.

3. The intelligent cloud control system for distributed seawater desalination equipment clusters according to claim 1, characterized in that, The information processing module determines the normal desalination efficiency range of the desalination equipment located at each location within each characteristic time period based on the historical tidal data in the cloud database, the desalination equipment distributed at different locations in the desalination area, and the corresponding historical desalination data.

4. The intelligent cloud control system for distributed seawater desalination equipment clusters according to claim 1, characterized in that, Based on the water quality fluctuation data, the information processing module dynamically configures the cluster operation mode within the divided time periods of each operation characteristic. If the turbidity is higher than the first turbidity threshold and the salinity is lower than the first salinity threshold, the cluster operation mode is reverse pressure flushing mode. If the turbidity is lower than the second turbidity threshold and the salinity is higher than the second salinity threshold, the cluster operation mode is to start the boost protection mode; If the concentration of the pollutant exceeds the first pollutant concentration threshold, the cluster operation mode is the dosing mode.

5. The intelligent cloud control system for distributed seawater desalination equipment clusters according to claim 1, characterized in that, The information processing module identifies seawater desalination equipment with a seawater desalination characterization factor of less than 1 as adjustment equipment.

6. The intelligent cloud control system for distributed seawater desalination equipment clusters according to claim 5, characterized in that, The information processing module adjusts the operating parameters or dosage of the seawater desalination equipment based on the current cluster operation mode and water quality fluctuation data. The adjustment amount of the operating parameters or the dosage is positively correlated with the difference between the corresponding seawater desalination characterization factor and 1.

7. The intelligent cloud control system for distributed seawater desalination equipment clusters according to claim 6, characterized in that, The cloud control module switches the cluster operation status of the seawater desalination equipment cluster in response to the determination result of the cluster operation mode. The cloud control module adjusts the fade parameters of the corresponding adjustment device in response to the adjustment amount determined by the information processing module for each adjustment device.

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