Ultraviolet sterilization control method and system

Abstract

The invention relates to the technical field of power equipment operation and maintenance, provides an ultraviolet sterilization control method and system, and aims to solve the problem that the ultraviolet sterilization efficiency is unstable in the water treatment process of a power plant boiler and evaluate the sterilization effect by monitoring boiler water treatment and ultraviolet sterilization data in real time and utilizing a prediction model. And verifying by combining an actual water quality detection result. When a large deviation occurs between the predicted effect and the actual effect, the system can automatically adjust a boiler water treatment monitoring strategy and an ultraviolet sterilization monitoring strategy, including adjustment of key parameters such as ultraviolet lamp tube power, irradiation time, water flow rate and chemical agent dosage. The intelligent control system can ensure the accuracy and optimization of the ultraviolet sterilization effect, so that the stable operation of the boiler water treatment system and the safety of water quality are ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of power equipment operation and maintenance, and in particular to an ultraviolet sterilization control method and system. Background Art

[0002] The process of ultraviolet sterilization of reverse osmosis inlet water to remove microorganisms in power plant boiler water treatment is a process that comprehensively applies reverse osmosis technology and ultraviolet sterilization technology. Reverse osmosis technology is an efficient membrane separation technology that uses the selective permeability of semipermeable membranes to separate solvents (usually water) from solutes and impurities in the solution under the pressure difference. In the treatment of boiler water in power plants, the reverse osmosis membrane can effectively intercept impurities such as dissolved salts, colloids, microorganisms, and organic matter in the water, and only allow water molecules to pass through. Most of the impurities and microorganisms in the raw water are trapped on one side of the membrane, thereby achieving preliminary purification of the water. Ultraviolet sterilization technology uses ultraviolet irradiation to kill or remove microorganisms in water. Ultraviolet rays, especially ultraviolet rays with a wavelength of about 260nm, have a strong bactericidal effect. It can penetrate the cell membrane of microorganisms, destroy their DNA structure, and make them lose their reproductive ability, thereby achieving the purpose of sterilization.

[0003] In the treatment of boiler water in power plants, the water after reverse osmosis treatment will further pass through the ultraviolet disinfection device to kill any residual microorganisms. The ultraviolet disinfection device usually includes a stainless steel ultraviolet reactor and one or more ultraviolet lamps. When the water flows through the reactor, the ultraviolet light emitted by the ultraviolet lamp will irradiate the water, thereby killing the microorganisms in the water.

[0004] Although ultraviolet rays have a strong sterilization effect, in actual applications, their sterilization efficiency may be affected by many factors, such as water quality, flow rate, ultraviolet intensity, etc. At the same time, ultraviolet sterilization devices also consume a certain amount of energy during operation. Therefore, how to improve the efficiency of ultraviolet sterilization and reduce energy consumption is a technical issue worthy of attention.

[0005] The boiler water treatment system of a power plant involves the coordinated work of multiple links and equipment. Failure in any link may affect the stable operation of the entire system. Ultraviolet rays have a powerful sterilization effect, but in actual applications, the efficiency of ultraviolet sterilization may be affected by many factors, such as water quality, flow rate, and ultraviolet intensity. When ultraviolet sterilization cannot achieve the expected effect, it will affect the stability of the boiler water treatment system of the power plant. For this reason, the present invention provides an ultraviolet sterilization control method and system. Summary of the invention

[0006] In view of the shortcomings of the prior art, the present invention provides an ultraviolet sterilization control method and system to solve the problem that when ultraviolet sterilization fails to achieve the expected effect, it will affect the stability of the boiler water treatment system of the power plant.

[0007] In order to solve the above technical problems, the specific technical solutions of the present invention are as follows:

[0008] In a first aspect, the present invention provides a method for controlling ultraviolet sterilization, comprising:

[0009] Step S101, obtaining boiler water treatment monitoring strategy and parameters and ultraviolet water sterilization monitoring strategy and parameters, configuring the boiler water treatment monitoring strategy and parameters and ultraviolet water sterilization monitoring strategy and parameters on corresponding equipment, monitoring boiler water treatment and ultraviolet water sterilization, and obtaining boiler water treatment operation data and ultraviolet water sterilization data;

[0010] Step S102, segmenting the boiler water treatment operation data and the ultraviolet water sterilization data obtained by monitoring according to the time when the data was generated to obtain segmented monitoring data, wherein the segmented monitoring data includes the segmented boiler water treatment operation data and the segmented ultraviolet water sterilization data;

[0011] Step S103, substituting the boiler water treatment operation data and the ultraviolet water sterilization data into a preset ultraviolet water sterilization effect prediction model to obtain ultraviolet water sterilization prediction effect data, and comparing the segmented boiler water treatment operation data and the segmented ultraviolet water sterilization data with the ultraviolet water sterilization prediction effect data to obtain first ultraviolet water sterilization effect error data;

[0012] Step S104, testing the water after the ultraviolet sterilization treatment in the boiler water treatment process to obtain the water quality monitoring data after the ultraviolet sterilization treatment in the boiler water treatment process, comparing the water quality monitoring data after the ultraviolet sterilization treatment in the boiler water treatment process with the ultraviolet sterilization effect prediction data on water, and obtaining the second ultraviolet sterilization effect error data on water;

[0013] Step S105, compare the first ultraviolet water sterilization effect error data with the second ultraviolet water sterilization effect error data. If the numerical difference between the first ultraviolet water sterilization effect error data and the second ultraviolet water sterilization effect error data is within a preset range, the boiler water treatment operation data and the ultraviolet water sterilization data are accurate. If the numerical difference between the first ultraviolet water sterilization effect error data and the second ultraviolet water sterilization effect error data is not within the preset range, the boiler water treatment monitoring strategy and parameters and the ultraviolet water sterilization monitoring strategy and parameters are adjusted and optimized to obtain the optimized water treatment sterilization equipment adjustment parameters.

[0014] Furthermore, the ultraviolet sterilization control method of the present invention, step S102, comprises:

[0015] The boiler water treatment operation data and ultraviolet water sterilization data obtained by monitoring include water flow and water pressure, and ultraviolet water sterilization data include ultraviolet intensity and sterilization time;

[0016] Performing data detection and preprocessing on the boiler water treatment operation data and the ultraviolet water sterilization data obtained by monitoring, and obtaining the preprocessed boiler water treatment operation data and the ultraviolet water sterilization data;

[0017] The data are segmented according to the time when the pre-treated boiler water treatment operation data and the ultraviolet water sterilization data are generated, and the segmented data are stored to form segmented monitoring data. The segmented monitoring data includes the segmented boiler water treatment operation data and the segmented ultraviolet water sterilization data.

[0018] Furthermore, the ultraviolet sterilization control method of the present invention, step S103, comprises:

[0019] Obtain boiler water treatment operation data and UV water sterilization data, and build a UV water sterilization effect prediction model based on historical data and professional knowledge;

[0020] Substituting boiler water treatment operation data and ultraviolet water sterilization data into the selected prediction model, running the ultraviolet water sterilization effect prediction model, and calculating the ultraviolet water sterilization effect prediction data based on the input data. The ultraviolet water sterilization effect prediction data includes the expected sterilization rate and the number of residual microorganisms.

[0021] Compare the segmented boiler water treatment operation data and the segmented ultraviolet water sterilization data with the predicted effect data, and compare the actual sterilization effect and the predicted sterilization effect in each time period one by one;

[0022] Calculate the error between the actual sterilization effect and the predicted sterilization effect in each time period, that is, the error data of the first ultraviolet sterilization effect on water.

[0023] Furthermore, the ultraviolet sterilization control method of the present invention, step S104, comprises:

[0024] The water quality test of the collected water samples includes testing the number of microorganisms, turbidity, organic matter content, and pH value in the water;

[0025] The water quality index data obtained from the test is recorded in detail to form the water quality monitoring data after ultraviolet disinfection treatment during the boiler water treatment process;

[0026] Compare the water quality monitoring data after ultraviolet disinfection treatment in the boiler water treatment process with the obtained data on the predicted effect of ultraviolet disinfection on water, and compare the actual detected water quality indicators with the corresponding indicators in the prediction model one by one;

[0027] According to the comparison results, the difference between the actual water quality monitoring data and the predicted effect data is calculated, that is, the error data of the second ultraviolet sterilization effect on water. The error data of the second ultraviolet sterilization effect on water is used to reflect the deviation between the actual effect and the predicted effect of ultraviolet sterilization treatment.

[0028] Furthermore, the ultraviolet sterilization control method of the present invention, step S105, comprises:

[0029] Obtaining the error data of the first ultraviolet sterilization effect on water and the error data of the second ultraviolet sterilization effect on water, comparing the error data of the first ultraviolet sterilization effect on water and the error data of the second ultraviolet sterilization effect on water, and analyzing the numerical difference between the error data of the first ultraviolet sterilization effect on water and the error data of the second ultraviolet sterilization effect on water;

[0030] A preset error range value is set to determine whether the numerical difference between the first ultraviolet light water sterilization effect error data and the second ultraviolet light water sterilization effect error data is within the preset range.

[0031] If the numerical difference between the first ultraviolet water sterilization effect error data and the second ultraviolet water sterilization effect error data is within a preset range, the boiler water treatment operation data and the ultraviolet water sterilization data are accurate and do not need to be adjusted;

[0032] If the numerical difference exceeds the preset range, there is a deviation in the boiler water treatment operation data and the ultraviolet water sterilization data. When the boiler water treatment operation data and the ultraviolet water sterilization data are inaccurate, the boiler water treatment monitoring strategy and parameters and the ultraviolet water sterilization monitoring strategy and parameters are adjusted and optimized. The water sterilization monitoring strategy and parameters include adjusting the power of the ultraviolet lamp, irradiation time, water flow rate, and chemical agent dosage parameters.

[0033] In the second aspect, the present invention provides an ultraviolet sterilization control system, which is applied as an ultraviolet sterilization control method, including: a control device end, a background control end and a device end, the control device end establishes a communication connection with the background control end and the device end, and the control device end includes:

[0034] The water treatment monitoring module obtains the boiler water treatment monitoring strategy and parameters and the ultraviolet water sterilization monitoring strategy and parameters, configures the boiler water treatment monitoring strategy and parameters and the ultraviolet water sterilization monitoring strategy and parameters on the corresponding equipment, monitors the boiler water treatment and ultraviolet water sterilization, and obtains the boiler water treatment operation data and ultraviolet water sterilization data;

[0035] The ultraviolet sterilization detection module segments the boiler water treatment operation data and the ultraviolet water sterilization data obtained by monitoring according to the time when the data is generated to obtain segmented monitoring data, and the segmented monitoring data includes the segmented boiler water treatment operation data and the segmented ultraviolet water sterilization data;

[0036] The sterilization analysis module substitutes the boiler water treatment operation data and the ultraviolet water sterilization data into a preset ultraviolet water sterilization effect prediction model to obtain ultraviolet water sterilization prediction effect data, and compares the segmented boiler water treatment operation data and the segmented ultraviolet water sterilization data with the ultraviolet water sterilization prediction effect data to obtain the first ultraviolet water sterilization effect error data;

[0037] The sterilization effect detection module detects the water after the ultraviolet sterilization treatment in the boiler water treatment process, obtains the water quality monitoring data after the ultraviolet sterilization treatment in the boiler water treatment process, compares the water quality monitoring data after the ultraviolet sterilization treatment in the boiler water treatment process with the ultraviolet sterilization effect prediction data on water, and obtains the second ultraviolet sterilization effect error data on water;

[0038] The water treatment sterilization adjustment module compares the error data of the first ultraviolet sterilization effect on water with the error data of the second ultraviolet sterilization effect on water. If the numerical difference between the error data of the first ultraviolet sterilization effect on water and the error data of the second ultraviolet sterilization effect on water is within a preset range, the boiler water treatment operation data and the ultraviolet sterilization data on water are accurate. If the numerical difference between the error data of the first ultraviolet sterilization effect on water and the error data of the second ultraviolet sterilization effect on water is not within the preset range, the boiler water treatment monitoring strategy and parameters and the ultraviolet sterilization monitoring strategy and parameters are adjusted and optimized to obtain the optimized water treatment sterilization equipment adjustment parameters.

[0039] Furthermore, the ultraviolet sterilization control system of the present invention, the ultraviolet sterilization detection module comprises:

[0040] The boiler water treatment operation data and ultraviolet water sterilization data obtained by monitoring include water flow and water pressure, and ultraviolet water sterilization data include ultraviolet intensity and sterilization time;

[0041] Performing data detection and preprocessing on the boiler water treatment operation data and the ultraviolet water sterilization data obtained by monitoring, and obtaining the preprocessed boiler water treatment operation data and the ultraviolet water sterilization data;

[0042] The data are segmented according to the time when the pre-treated boiler water treatment operation data and the ultraviolet water sterilization data are generated, and the segmented data are stored to form segmented monitoring data. The segmented monitoring data includes the segmented boiler water treatment operation data and the segmented ultraviolet water sterilization data.

[0043] Furthermore, the ultraviolet sterilization control system of the present invention, the sterilization analysis module includes:

[0044] Obtain boiler water treatment operation data and UV water sterilization data, and build a UV water sterilization effect prediction model based on historical data and professional knowledge;

[0045] Substituting boiler water treatment operation data and ultraviolet water sterilization data into the selected prediction model, running the ultraviolet water sterilization effect prediction model, and calculating the ultraviolet water sterilization effect prediction data based on the input data. The ultraviolet water sterilization effect prediction data includes the expected sterilization rate and the number of residual microorganisms.

[0046] Compare the segmented boiler water treatment operation data and the segmented ultraviolet water sterilization data with the predicted effect data, and compare the actual sterilization effect and the predicted sterilization effect in each time period one by one;

[0047] Calculate the error between the actual sterilization effect and the predicted sterilization effect in each time period, that is, the error data of the first ultraviolet sterilization effect on water.

[0048] Furthermore, the ultraviolet sterilization control system of the present invention, the sterilization effect detection module includes:

[0049] The water quality test of the collected water samples includes testing the number of microorganisms, turbidity, organic matter content, and pH value in the water;

[0050] The water quality index data obtained from the test is recorded in detail to form the water quality monitoring data after ultraviolet disinfection treatment during the boiler water treatment process;

[0051] Compare the water quality monitoring data after ultraviolet sterilization treatment in the boiler water treatment process with the data on the predicted effect of ultraviolet sterilization on water obtained through the sterilization analysis module, and compare the actual detected water quality indicators with the corresponding indicators in the prediction model one by one;

[0052] According to the comparison results, the difference between the actual water quality monitoring data and the predicted effect data is calculated, that is, the error data of the second ultraviolet sterilization effect on water. The error data of the second ultraviolet sterilization effect on water is used to reflect the deviation between the actual effect and the predicted effect of ultraviolet sterilization treatment.

[0053] Furthermore, the ultraviolet sterilization control system of the present invention, the water treatment sterilization adjustment module is also used for:

[0054] Obtaining the error data of the first ultraviolet sterilization effect on water and the error data of the second ultraviolet sterilization effect on water, comparing the error data of the first ultraviolet sterilization effect on water and the error data of the second ultraviolet sterilization effect on water, and analyzing the numerical difference between the error data of the first ultraviolet sterilization effect on water and the error data of the second ultraviolet sterilization effect on water;

[0055] A preset error range value is set to determine whether the numerical difference between the first ultraviolet light water sterilization effect error data and the second ultraviolet light water sterilization effect error data is within the preset range.

[0056] If the numerical difference between the first ultraviolet water sterilization effect error data and the second ultraviolet water sterilization effect error data is within a preset range, the boiler water treatment operation data and the ultraviolet water sterilization data are accurate and do not need to be adjusted;

[0057] If the numerical difference exceeds the preset range, there is a deviation in the boiler water treatment operation data and the ultraviolet water sterilization data. When the boiler water treatment operation data and the ultraviolet water sterilization data are inaccurate, the boiler water treatment monitoring strategy and parameters and the ultraviolet water sterilization monitoring strategy and parameters are adjusted and optimized. The water sterilization monitoring strategy and parameters include adjusting the power of the ultraviolet lamp, irradiation time, water flow rate, and chemical agent dosage parameters.

[0058] The beneficial effects of the present invention are mainly reflected in the following aspects:

[0059] Improve UV sterilization efficiency: By real-time monitoring of boiler water treatment and UV sterilization process, the UV sterilization efficiency can be maximized, thus avoiding the impact on water quality due to insufficient sterilization efficiency.

[0060] Enhanced system stability: The present invention predicts the sterilization effect of ultraviolet rays and compares it with the actual sterilization effect, and timely adjusts and optimizes the sterilization strategy, thereby enhancing the overall stability of the boiler water treatment system of the power plant.

[0061] Reduce energy consumption: By optimizing the power, irradiation time and other parameters of the ultraviolet lamp, it is possible to reduce energy consumption and improve energy efficiency while ensuring the sterilization effect.

[0062] Improve the level of automation: The ultraviolet sterilization control method and system provided by the present invention realizes automatic monitoring, analysis and adjustment, reduces manual intervention, and improves the automation level and operation efficiency of the system.

[0063] Flexibility and adaptability: The present invention allows the boiler water treatment monitoring strategy and ultraviolet disinfection monitoring strategy to be adjusted and optimized according to actual conditions, making the system more flexible and adaptable. By collecting and processing a large amount of operating data in real time, it provides solid data support for subsequent decision-making, improving the scientificity and accuracy of decision-making.

[0064] In summary, the present invention effectively solves the problem of affecting the stability of the boiler water treatment system of a power plant when ultraviolet sterilization fails to achieve the expected effect through a series of innovative technical means, thereby improving the operating efficiency, stability and water quality safety of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] In order to more clearly illustrate the technical solution of the present invention, the following briefly introduces the drawings required for use in the embodiments. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0066] Figure 1 A schematic flow chart of the ultraviolet sterilization control method provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0067] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described in conjunction with the specific embodiments of the present invention and the corresponding drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. The technical solutions provided by the embodiments of the present invention are described in detail below in conjunction with the drawings.

[0068] In order to better understand the purpose of the present invention, the present invention is described in further detail below.

[0069] First, see Figure 1 The present invention provides an ultraviolet sterilization control method, comprising:

[0070] Step S101, obtaining boiler water treatment monitoring strategy and parameters and ultraviolet water sterilization monitoring strategy and parameters, configuring the boiler water treatment monitoring strategy and parameters and ultraviolet water sterilization monitoring strategy and parameters on corresponding equipment, monitoring boiler water treatment and ultraviolet water sterilization, and obtaining boiler water treatment operation data and ultraviolet water sterilization data;

[0071] Obtain monitoring strategies and parameters: First, it is necessary to obtain boiler water treatment monitoring strategies and parameters, as well as ultraviolet water sterilization monitoring strategies and parameters from relevant systems or databases. These strategies and parameters were previously set based on actual needs, equipment performance, and operating experience, and they are crucial to ensuring the effectiveness and safety of the water treatment and sterilization processes.

[0072] Configuration on the corresponding equipment: After obtaining the monitoring strategy and parameters, the next step is to configure these strategies and parameters to the corresponding boiler water treatment and UV sterilization equipment. This usually involves the process of equipment setup, commissioning and calibration to ensure that the equipment can operate normally according to the preset strategies and parameters and accurately record relevant data.

[0073] Monitoring of boiler water treatment and UV water sterilization: After configuration, the system begins to monitor the boiler water treatment process and UV water sterilization process in real time. This includes monitoring water quality indicators (such as turbidity, pH value, microbial content, etc.), equipment operating status (such as temperature, pressure, flow, etc.), and key parameters such as the power and irradiation time of the UV sterilization equipment.

[0074] Obtain boiler water treatment operation data and ultraviolet water sterilization data: Through continuous monitoring, the system collects and records a large amount of boiler water treatment operation data and ultraviolet water sterilization data. These data reflect the actual water treatment effect and sterilization effect, and are an important basis for subsequent data analysis, effect prediction and strategy adjustment.

[0075] In summary, step S101 is the basic link of the entire technical solution, which ensures the accurate acquisition and configuration of monitoring strategies and parameters, as well as the effective monitoring of boiler water treatment and ultraviolet water sterilization process. The operation data obtained through this step provides strong support for subsequent optimization and adjustment.

[0076] Step S102, segmenting the boiler water treatment operation data and the ultraviolet water sterilization data obtained by monitoring according to the time when the data was generated to obtain segmented monitoring data, wherein the segmented monitoring data includes the segmented boiler water treatment operation data and the segmented ultraviolet water sterilization data;

[0077] Step S102 mainly involves segmenting the monitored boiler water treatment operation data and ultraviolet water sterilization data. The following is a detailed explanation of this step:

[0078] Purpose of data segmentation: In actual operation, boiler water treatment systems and ultraviolet disinfection equipment will continuously generate a large amount of data. In order to more effectively analyze this data and identify trends and changes, it is necessary to divide the continuous data stream into smaller segments or time periods. This is the main purpose of data segmentation.

[0079] Segmentation by time: Data segmentation is mainly based on the time when the data is generated. All data collected within a specific time period will be classified into one data segment. This helps to observe and understand the changes in boiler water treatment operation data and ultraviolet water sterilization data in different time periods.

[0080] Composition of segmented monitoring data: The segmented data is called segmented monitoring data, which includes two parts: segmented boiler water treatment operation data and segmented ultraviolet water sterilization data. Both parts of data reflect the system operation status and sterilization effect in a specific time period.

[0081] Subsequent application: Segmented monitoring data not only helps us better understand the system's operating status and sterilization effect, but also serves as the basis for subsequent effect prediction and error calculation. By conducting a detailed analysis of the data in each time period, we can more accurately predict future sterilization effects and discover possible problems in a timely manner.

[0082] In summary, step S102 provides a clearer and more orderly data analysis basis by segmenting the monitoring data according to time, which helps to improve the operating efficiency and sterilization effect of the entire system.

[0083] Step S103, substituting the boiler water treatment operation data and the ultraviolet water sterilization data into a preset ultraviolet water sterilization effect prediction model to obtain ultraviolet water sterilization prediction effect data, and comparing the segmented boiler water treatment operation data and the segmented ultraviolet water sterilization data with the ultraviolet water sterilization prediction effect data to obtain first ultraviolet water sterilization effect error data;

[0084] Step S103 is an important step in data processing and analysis, which involves using a prediction model to evaluate the effect of ultraviolet light on water sterilization and calculating the error by comparing actual data with predicted data. The following is a detailed explanation of this step:

[0085] Preset UV water sterilization effect prediction model: This is a model built based on historical data, experimental results or expert knowledge to predict the UV sterilization effect under given conditions. The model takes into account multiple factors such as UV intensity, irradiation time, water quality parameters (such as turbidity, organic matter content, etc.) and the type and concentration of microorganisms.

[0086] Substitute data to get the predicted effect: Substitute the real-time monitored boiler water treatment operation data and ultraviolet water sterilization data into this prediction model, and the model will output a predicted sterilization effect data. The predicted data represents the sterilization effect that should be achieved in theory under the current operating conditions and sterilization parameters.

[0087] Data comparison: Next, the actual boiler water treatment operation data and UV sterilization data after segmentation are compared with the predicted effect data output by the prediction model. The purpose of the comparison is to find the difference between the actual sterilization effect and the predicted effect.

[0088] Calculate the error data of the first ultraviolet water sterilization effect: By comparison, the error between the actual sterilization effect and the predicted effect can be calculated. This error is called the error data of the first ultraviolet water sterilization effect. This error data reflects the degree of deviation between the actual sterilization effect and the theoretical prediction, and is an important indicator for evaluating whether the sterilization effect has reached the expected level.

[0089] Step S104, testing the water after the ultraviolet sterilization treatment in the boiler water treatment process to obtain the water quality monitoring data after the ultraviolet sterilization treatment in the boiler water treatment process, comparing the water quality monitoring data after the ultraviolet sterilization treatment in the boiler water treatment process with the ultraviolet sterilization effect prediction data on water, and obtaining the second ultraviolet sterilization effect error data on water;

[0090] Step S104 involves actually testing the water after the UV sterilization treatment and comparing it with the predicted effect data. The following is a detailed explanation of this step:

[0091] Water quality testing: During the boiler water treatment process, the water after UV sterilization treatment is sampled and analyzed using appropriate water quality testing methods, including microbial counts, turbidity measurements, chemical oxygen demand (COD) analysis or other relevant indicators to evaluate the water quality after sterilization treatment.

[0092] Obtain water quality monitoring data: Through water quality testing, we can obtain water quality monitoring data after ultraviolet sterilization treatment in the boiler water treatment process. These data reflect the impact of actual sterilization treatment on water quality and are an important basis for evaluating the sterilization effect.

[0093] Data comparison: The acquired water quality monitoring data is compared with the data on the predicted effect of ultraviolet disinfection on water obtained by the prediction model. The purpose of the comparison is to check whether the actual disinfection effect is consistent with the predicted effect and to determine the difference between the two.

[0094] Calculate the error data of the second ultraviolet sterilization effect on water: By comparison, the error between the actual water quality monitoring data and the predicted effect data can be calculated. This error is called the error data of the second ultraviolet sterilization effect on water. Similar to the error data of the first ultraviolet sterilization effect on water, this error data also reflects the degree of deviation between the actual sterilization effect and the theoretical prediction.

[0095] In summary, step S104 provides us with an important means to verify the sterilization effect by actually testing the water after ultraviolet sterilization treatment and comparing it with the predicted effect data. This step helps to discover potential problems in the sterilization process and provides strong support for subsequent strategy adjustment and optimization.

[0096] Step S105, compare the first ultraviolet water sterilization effect error data with the second ultraviolet water sterilization effect error data. If the numerical difference between the first ultraviolet water sterilization effect error data and the second ultraviolet water sterilization effect error data is within a preset range, the boiler water treatment operation data and the ultraviolet water sterilization data are accurate. If the numerical difference between the first ultraviolet water sterilization effect error data and the second ultraviolet water sterilization effect error data is not within the preset range, the boiler water treatment monitoring strategy and parameters and the ultraviolet water sterilization monitoring strategy and parameters are adjusted and optimized to obtain the optimized water treatment sterilization equipment adjustment parameters.

[0097] Step S105 improves the stability of the boiler water treatment system and the effect of ultraviolet sterilization. The following is a detailed explanation of this step:

[0098] Error data comparison: The error data of the first ultraviolet sterilization effect on water obtained in step S103 is compared with the error data of the second ultraviolet sterilization effect on water obtained in step S104. These two error data respectively represent the difference between the predicted and actual sterilization effects, and the difference between the water quality monitoring data after sterilization and the predicted effect.

[0099] Determine the difference between error data: The purpose of the comparison is to check whether the difference between the two error data is within the preset allowable range. This preset range is set according to system requirements and operating experience to determine the stability and accuracy of the current boiler water treatment and UV sterilization process.

[0100] Data accuracy judgment: If the numerical difference between the error data of the first ultraviolet water sterilization effect and the error data of the second ultraviolet water sterilization effect is within the preset range, it means that the boiler water treatment operation data and the ultraviolet water sterilization data are accurate, the system is in good operating condition, and the sterilization effect is in line with expectations.

[0101] Parameter adjustment and optimization: If the difference between the two values ​​exceeds the preset range, it indicates that there is a large deviation between the actual sterilization effect and the predicted effect, which may affect the stability of the boiler water treatment system. At this time, it is necessary to adjust and optimize the boiler water treatment monitoring strategy and parameters as well as the ultraviolet water sterilization monitoring strategy and parameters.

[0102] The adjustment and optimization process may include changing the power of the UV lamp, adjusting the flow rate of the water, modifying the dosage of chemical agents, optimizing the operating time of the equipment, etc., in order to improve the sterilization effect and the stability of the system.

[0103] Get optimized parameters: After adjustment and optimization, a new set of water treatment sterilization equipment adjustment parameters will be obtained. These parameters are designed to improve the performance and sterilization effect of the boiler water treatment system.

[0104] In summary, step S105 evaluates the stability and effect of the boiler water treatment and ultraviolet sterilization process by comparing the two error data, and adjusts and optimizes the monitoring strategy and parameters when necessary to ensure efficient and stable operation of the system.

[0105] Specifically, the ultraviolet sterilization control method of the present invention, step S102 includes:

[0106] The boiler water treatment operation data and ultraviolet water sterilization data obtained by monitoring include water flow and water pressure, and ultraviolet water sterilization data include ultraviolet intensity and sterilization time;

[0107] Performing data detection and preprocessing on the boiler water treatment operation data and the ultraviolet water sterilization data obtained by monitoring, and obtaining the preprocessed boiler water treatment operation data and the ultraviolet water sterilization data;

[0108] The data are segmented according to the time when the pre-treated boiler water treatment operation data and the ultraviolet water sterilization data are generated, and the segmented data are stored to form segmented monitoring data. The segmented monitoring data includes the segmented boiler water treatment operation data and the segmented ultraviolet water sterilization data.

[0109] Specifically, the ultraviolet sterilization control method of the present invention, step S103 includes:

[0110] Obtain boiler water treatment operation data and UV water sterilization data, and build a UV water sterilization effect prediction model based on historical data and professional knowledge;

[0111] Substituting boiler water treatment operation data and ultraviolet water sterilization data into the selected prediction model, running the ultraviolet water sterilization effect prediction model, and calculating the ultraviolet water sterilization effect prediction data based on the input data. The ultraviolet water sterilization effect prediction data includes the expected sterilization rate and the number of residual microorganisms.

[0112] Compare the segmented boiler water treatment operation data and the segmented ultraviolet water sterilization data with the predicted effect data, and compare the actual sterilization effect and the predicted sterilization effect in each time period one by one;

[0113] Calculate the error between the actual sterilization effect and the predicted sterilization effect in each time period, that is, the error data of the first ultraviolet sterilization effect on water.

[0114] Specifically, the ultraviolet sterilization control method of the present invention, step S104 includes:

[0115] The water quality test of the collected water samples includes testing the number of microorganisms, turbidity, organic matter content, and pH value in the water;

[0116] The water quality index data obtained from the test is recorded in detail to form the water quality monitoring data after ultraviolet disinfection treatment during the boiler water treatment process;

[0117] Compare the water quality monitoring data after ultraviolet disinfection treatment in the boiler water treatment process with the obtained data on the predicted effect of ultraviolet disinfection on water, and compare the actual detected water quality indicators with the corresponding indicators in the prediction model one by one;

[0118] According to the comparison results, the difference between the actual water quality monitoring data and the predicted effect data is calculated, that is, the error data of the second ultraviolet sterilization effect on water. The error data of the second ultraviolet sterilization effect on water is used to reflect the deviation between the actual effect and the predicted effect of ultraviolet sterilization treatment.

[0119] Specifically, the ultraviolet sterilization control method of the present invention, step S105 includes:

[0120] Obtaining the error data of the first ultraviolet sterilization effect on water and the error data of the second ultraviolet sterilization effect on water, comparing the error data of the first ultraviolet sterilization effect on water and the error data of the second ultraviolet sterilization effect on water, and analyzing the numerical difference between the error data of the first ultraviolet sterilization effect on water and the error data of the second ultraviolet sterilization effect on water;

[0121] A preset error range value is set to determine whether the numerical difference between the first ultraviolet light water sterilization effect error data and the second ultraviolet light water sterilization effect error data is within the preset range.

[0122] If the numerical difference between the first ultraviolet water sterilization effect error data and the second ultraviolet water sterilization effect error data is within a preset range, the boiler water treatment operation data and the ultraviolet water sterilization data are accurate and do not need to be adjusted;

[0123] If the numerical difference exceeds the preset range, there is a deviation in the boiler water treatment operation data and the ultraviolet water sterilization data. When the boiler water treatment operation data and the ultraviolet water sterilization data are inaccurate, the boiler water treatment monitoring strategy and parameters and the ultraviolet water sterilization monitoring strategy and parameters are adjusted and optimized. The water sterilization monitoring strategy and parameters include adjusting the power of the ultraviolet lamp, irradiation time, water flow rate, and chemical agent dosage parameters.

[0124] Specifically, the ultraviolet sterilization control method of the present invention, the detailed steps of adjusting and optimizing in step S105 are as follows:

[0125] Data acquisition and comparison: First, obtain the error data of the first ultraviolet light sterilization effect on water and the error data of the second ultraviolet light sterilization effect on water. Then, compare the two sets of error data and analyze the numerical difference between them.

[0126] Preset error range value: According to system requirements and historical operating experience, a preset error range value is set. This range value is used to determine whether the current sterilization effect meets the standard and whether relevant parameters need to be adjusted.

[0127] Determine the difference in error data: Compare the numerical difference between the error data of the first ultraviolet water sterilization effect and the error data of the second ultraviolet water sterilization effect with the preset range. If the numerical difference is within the preset range, it means that the boiler water treatment operation data and the ultraviolet water sterilization data are accurate and no adjustment is required.

[0128] Adjustment and optimization steps (when the numerical difference exceeds the preset range): Analyze the reasons: First, analyze the specific reasons why the error data difference exceeds the preset range, which may be insufficient power of the UV lamp, insufficient irradiation time, too fast or too slow water flow rate, improper chemical dosage, etc.

[0129] Adjust the power of the UV lamp: According to the analysis results, appropriately adjust the power of the UV lamp to increase or decrease the intensity of the UV light, thereby improving the sterilization effect.

[0130] Adjust the irradiation time: If insufficient irradiation time is the reason for the poor sterilization effect, the ultraviolet irradiation time can be appropriately extended to ensure that there is enough ultraviolet dose in the water to achieve the sterilization purpose.

[0131] Adjust the water flow rate: According to the actual situation of the system, adjust the water flow rate to ensure that the water has enough residence time in the ultraviolet irradiation area for sufficient sterilization.

[0132] Adjust the dosage of chemical agents: If auxiliary bactericidal chemical agents are used, the dosage of the agents can be adjusted according to the water quality and bactericidal effect to enhance or balance the bactericidal effect.

[0133] Real-time monitoring and feedback: During the adjustment process, the sterilization effect and water quality changes are monitored in real time, and the relevant parameters are further fine-tuned according to the feedback data until the ideal sterilization effect and system stability are achieved.

[0134] Recording and verification: After the adjustment is completed, record all adjusted parameters and sterilization effect data for subsequent analysis and verification. Continuously monitor the sterilization effect over a period of time to ensure that the adjusted parameters can stably maintain a good sterilization effect. Through the above detailed steps, the UV sterilization effect in the boiler water treatment process can be accurately controlled and optimized to ensure the stable operation of the system and the safety of water quality.

[0135] In the second aspect, the present invention provides an ultraviolet sterilization control system, which is applied as an ultraviolet sterilization control method, including: a control device end, a background control end and a device end, the control device end establishes a communication connection with the background control end and the device end, and the control device end includes:

[0136] The water treatment monitoring module obtains the boiler water treatment monitoring strategy and parameters and the ultraviolet water sterilization monitoring strategy and parameters, configures the boiler water treatment monitoring strategy and parameters and the ultraviolet water sterilization monitoring strategy and parameters on the corresponding equipment, monitors the boiler water treatment and ultraviolet water sterilization, and obtains the boiler water treatment operation data and ultraviolet water sterilization data;

[0137] The ultraviolet sterilization detection module segments the boiler water treatment operation data and the ultraviolet water sterilization data obtained by monitoring according to the time when the data is generated to obtain segmented monitoring data, and the segmented monitoring data includes the segmented boiler water treatment operation data and the segmented ultraviolet water sterilization data;

[0138] The sterilization analysis module substitutes the boiler water treatment operation data and the ultraviolet water sterilization data into a preset ultraviolet water sterilization effect prediction model to obtain ultraviolet water sterilization prediction effect data, and compares the segmented boiler water treatment operation data and the segmented ultraviolet water sterilization data with the ultraviolet water sterilization prediction effect data to obtain the first ultraviolet water sterilization effect error data;

[0139] The sterilization effect detection module detects the water after the ultraviolet sterilization treatment in the boiler water treatment process, obtains the water quality monitoring data after the ultraviolet sterilization treatment in the boiler water treatment process, compares the water quality monitoring data after the ultraviolet sterilization treatment in the boiler water treatment process with the ultraviolet sterilization effect prediction data on water, and obtains the second ultraviolet sterilization effect error data on water;

[0140] The water treatment sterilization adjustment module compares the error data of the first ultraviolet sterilization effect on water with the error data of the second ultraviolet sterilization effect on water. If the numerical difference between the error data of the first ultraviolet sterilization effect on water and the error data of the second ultraviolet sterilization effect on water is within a preset range, the boiler water treatment operation data and the ultraviolet sterilization data on water are accurate. If the numerical difference between the error data of the first ultraviolet sterilization effect on water and the error data of the second ultraviolet sterilization effect on water is not within the preset range, the boiler water treatment monitoring strategy and parameters and the ultraviolet sterilization monitoring strategy and parameters are adjusted and optimized to obtain the optimized water treatment sterilization equipment adjustment parameters.

[0141] Specifically, the ultraviolet sterilization control system of the present invention, the ultraviolet sterilization detection module includes:

[0142] The boiler water treatment operation data and ultraviolet water sterilization data obtained by monitoring include water flow and water pressure, and ultraviolet water sterilization data include ultraviolet intensity and sterilization time;

[0143] Performing data detection and preprocessing on the boiler water treatment operation data and the ultraviolet water sterilization data obtained by monitoring, and obtaining the preprocessed boiler water treatment operation data and the ultraviolet water sterilization data;

[0144] The data are segmented according to the time when the pre-treated boiler water treatment operation data and the ultraviolet water sterilization data are generated, and the segmented data are stored to form segmented monitoring data. The segmented monitoring data includes the segmented boiler water treatment operation data and the segmented ultraviolet water sterilization data.

[0145] Specifically, the ultraviolet sterilization control system of the present invention, the sterilization analysis module includes:

[0146] Obtain boiler water treatment operation data and UV water sterilization data, and build a UV water sterilization effect prediction model based on historical data and professional knowledge;

[0147] Substituting boiler water treatment operation data and ultraviolet water sterilization data into the selected prediction model, running the ultraviolet water sterilization effect prediction model, and calculating the ultraviolet water sterilization effect prediction data based on the input data. The ultraviolet water sterilization effect prediction data includes the expected sterilization rate and the number of residual microorganisms.

[0148] Compare the segmented boiler water treatment operation data and the segmented ultraviolet water sterilization data with the predicted effect data, and compare the actual sterilization effect and the predicted sterilization effect in each time period one by one;

[0149] Calculate the error between the actual sterilization effect and the predicted sterilization effect in each time period, that is, the error data of the first ultraviolet sterilization effect on water.

[0150] Specifically, the ultraviolet sterilization control system of the present invention, the sterilization effect detection module includes:

[0151] The water quality test of the collected water samples includes testing the number of microorganisms, turbidity, organic matter content, and pH value in the water;

[0152] The water quality index data obtained from the test is recorded in detail to form the water quality monitoring data after ultraviolet disinfection treatment during the boiler water treatment process;

[0153] Compare the water quality monitoring data after ultraviolet sterilization treatment in the boiler water treatment process with the data on the predicted effect of ultraviolet sterilization on water obtained through the sterilization analysis module, and compare the actual detected water quality indicators with the corresponding indicators in the prediction model one by one;

[0154] According to the comparison results, the difference between the actual water quality monitoring data and the predicted effect data is calculated, that is, the error data of the second ultraviolet sterilization effect on water. The error data of the second ultraviolet sterilization effect on water is used to reflect the deviation between the actual effect and the predicted effect of ultraviolet sterilization treatment.

[0155] Specifically, the ultraviolet sterilization control system of the present invention and the water treatment sterilization adjustment module are also used for:

[0156] Obtaining the error data of the first ultraviolet sterilization effect on water and the error data of the second ultraviolet sterilization effect on water, comparing the error data of the first ultraviolet sterilization effect on water and the error data of the second ultraviolet sterilization effect on water, and analyzing the numerical difference between the error data of the first ultraviolet sterilization effect on water and the error data of the second ultraviolet sterilization effect on water;

[0157] A preset error range value is set to determine whether the numerical difference between the first ultraviolet light water sterilization effect error data and the second ultraviolet light water sterilization effect error data is within the preset range.

[0158] If the numerical difference between the first ultraviolet water sterilization effect error data and the second ultraviolet water sterilization effect error data is within a preset range, the boiler water treatment operation data and the ultraviolet water sterilization data are accurate and do not need to be adjusted;

[0159] If the numerical difference exceeds the preset range, there is a deviation in the boiler water treatment operation data and the ultraviolet water sterilization data. When the boiler water treatment operation data and the ultraviolet water sterilization data are inaccurate, the boiler water treatment monitoring strategy and parameters and the ultraviolet water sterilization monitoring strategy and parameters are adjusted and optimized. The water sterilization monitoring strategy and parameters include adjusting the power of the ultraviolet lamp, irradiation time, water flow rate, and chemical agent dosage parameters.

[0160] The technical solution of the present invention proposes a series of specific technical measures to solve the problem that the stability of the boiler water treatment system of the power plant may be affected when ultraviolet disinfection fails to achieve the expected effect. The following is the specific method of the technical solution of the present invention to solve this problem:

[0161] Real-time monitoring and data collection: By obtaining the boiler water treatment monitoring strategy and parameters and the ultraviolet water sterilization monitoring strategy and parameters, they are configured on the corresponding equipment to monitor the boiler water treatment and ultraviolet sterilization process in real time and obtain real-time operation data.

[0162] Data segmentation processing: The monitored data is segmented according to time to form segmented monitoring data for subsequent analysis and processing.

[0163] Prediction model construction and effect prediction: Build a prediction model for the UV sterilization effect on water, substitute real-time operation data into the model, and predict the UV sterilization effect. Compare the actual operation data with the predicted data, calculate the error, and evaluate the current UV sterilization effect.

[0164] Water quality testing and effect verification: Conduct water quality testing on water after UV sterilization treatment to obtain actual sterilization effect data. Compare water quality test data with predicted effect data to further verify the UV sterilization effect.

[0165] Strategy optimization and adjustment: If there is a large deviation between the predicted effect and the actual effect, it indicates that there may be problems with the current UV sterilization strategy. Adjust and optimize the boiler water treatment monitoring strategy and parameters, and the UV water sterilization monitoring strategy and parameters, such as adjusting the power of the UV lamp, irradiation time, water flow rate, and chemical dosage.

[0166] Automated adjustment and feedback: The technical solution of the present invention forms a closed-loop control system through automatic monitoring, analysis and adjustment of the system, which can timely detect and correct deviations in the ultraviolet disinfection process and ensure the stable operation of the boiler water treatment system of the power plant.

[0167] The present invention combines reverse osmosis technology and ultraviolet sterilization technology, and through the comprehensive application of these two technologies, improves the water treatment effect and ensures the degree of water purification. Through the above technical measures, the present invention effectively solves the problem of affecting the stability of the power plant boiler water treatment system when ultraviolet sterilization cannot achieve the expected effect, and improves the automation level and operation stability of the system.

[0168] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations, and the above-described embodiments of the present invention do not constitute a limitation on the scope of protection of the present invention.

Claims

1. A method for controlling ultraviolet sterilization, characterized in that: include: Step S101, obtaining boiler water treatment monitoring strategy and parameters and ultraviolet water sterilization monitoring strategy and parameters, configuring the boiler water treatment monitoring strategy and parameters and ultraviolet water sterilization monitoring strategy and parameters on corresponding equipment, monitoring boiler water treatment and ultraviolet water sterilization, and obtaining boiler water treatment operation data and ultraviolet water sterilization data; Step S102, segmenting the boiler water treatment operation data and the ultraviolet water sterilization data obtained by monitoring according to the time when the data was generated to obtain segmented monitoring data, wherein the segmented monitoring data includes the segmented boiler water treatment operation data and the segmented ultraviolet water sterilization data; Step S103, substituting the boiler water treatment operation data and the ultraviolet water sterilization data into a preset ultraviolet water sterilization effect prediction model to obtain ultraviolet water sterilization prediction effect data, and comparing the segmented boiler water treatment operation data and the segmented ultraviolet water sterilization data with the ultraviolet water sterilization prediction effect data to obtain first ultraviolet water sterilization effect error data; Step S104, testing the water after the ultraviolet sterilization treatment in the boiler water treatment process to obtain the water quality monitoring data after the ultraviolet sterilization treatment in the boiler water treatment process, comparing the water quality monitoring data after the ultraviolet sterilization treatment in the boiler water treatment process with the ultraviolet sterilization effect prediction data on water, and obtaining the second ultraviolet sterilization effect error data on water; Step S105, compare the first ultraviolet water sterilization effect error data with the second ultraviolet water sterilization effect error data. If the numerical difference between the first ultraviolet water sterilization effect error data and the second ultraviolet water sterilization effect error data is within a preset range, the boiler water treatment operation data and the ultraviolet water sterilization data are accurate. If the numerical difference between the first ultraviolet water sterilization effect error data and the second ultraviolet water sterilization effect error data is not within the preset range, the boiler water treatment monitoring strategy and parameters and the ultraviolet water sterilization monitoring strategy and parameters are adjusted and optimized to obtain the optimized water treatment sterilization equipment adjustment parameters.

2. The ultraviolet sterilization control method according to claim 1, characterized in that: The step S102 includes: The boiler water treatment operation data and ultraviolet water sterilization data obtained by monitoring include water flow and water pressure, and ultraviolet water sterilization data include ultraviolet intensity and sterilization time; Performing data detection and preprocessing on the boiler water treatment operation data and the ultraviolet water sterilization data obtained by monitoring, and obtaining the preprocessed boiler water treatment operation data and the ultraviolet water sterilization data; The data are segmented according to the time when the pre-treated boiler water treatment operation data and the ultraviolet water sterilization data are generated, and the segmented data are stored to form segmented monitoring data. The segmented monitoring data includes the segmented boiler water treatment operation data and the segmented ultraviolet water sterilization data.

3. The ultraviolet sterilization control method according to claim 1, characterized in that: The step S103 includes: Obtain boiler water treatment operation data and UV water sterilization data, and build a UV water sterilization effect prediction model based on historical data and professional knowledge; Substituting boiler water treatment operation data and ultraviolet water sterilization data into the selected prediction model, running the ultraviolet water sterilization effect prediction model, and calculating the ultraviolet water sterilization effect prediction data based on the input data. The ultraviolet water sterilization effect prediction data includes the expected sterilization rate and the number of residual microorganisms. Compare the segmented boiler water treatment operation data and the segmented ultraviolet water sterilization data with the predicted effect data, and compare the actual sterilization effect and the predicted sterilization effect in each time period one by one; Calculate the error between the actual sterilization effect and the predicted sterilization effect in each time period, that is, the error data of the first ultraviolet sterilization effect on water.

4. The ultraviolet sterilization control method according to claim 1, characterized in that: The step S104 includes: The water quality test of the collected water samples includes testing the number of microorganisms, turbidity, organic matter content, and pH value in the water; The water quality index data obtained from the test is recorded in detail to form the water quality monitoring data after ultraviolet disinfection treatment during the boiler water treatment process; Compare the water quality monitoring data after ultraviolet disinfection treatment in the boiler water treatment process with the obtained data on the predicted effect of ultraviolet disinfection on water, and compare the actual detected water quality indicators with the corresponding indicators in the prediction model one by one; According to the comparison results, the difference between the actual water quality monitoring data and the predicted effect data is calculated, that is, the error data of the second ultraviolet sterilization effect on water. The error data of the second ultraviolet sterilization effect on water is used to reflect the deviation between the actual effect and the predicted effect of ultraviolet sterilization treatment.

5. The ultraviolet sterilization control method according to claim 1, characterized in that: The step S105 includes: Obtaining the error data of the first ultraviolet sterilization effect on water and the error data of the second ultraviolet sterilization effect on water, comparing the error data of the first ultraviolet sterilization effect on water and the error data of the second ultraviolet sterilization effect on water, and analyzing the numerical difference between the error data of the first ultraviolet sterilization effect on water and the error data of the second ultraviolet sterilization effect on water; Setting a preset error range value, and determining whether the numerical difference between the error data of the first ultraviolet light sterilization effect on water and the error data of the second ultraviolet light sterilization effect on water is within the preset range; If the numerical difference between the first ultraviolet water sterilization effect error data and the second ultraviolet water sterilization effect error data is within a preset range, the boiler water treatment operation data and the ultraviolet water sterilization data are accurate and do not need to be adjusted; If the numerical difference exceeds the preset range, there is a deviation in the boiler water treatment operation data and the ultraviolet water sterilization data. When the boiler water treatment operation data and the ultraviolet water sterilization data are inaccurate, the boiler water treatment monitoring strategy and parameters and the ultraviolet water sterilization monitoring strategy and parameters are adjusted and optimized. The water sterilization monitoring strategy and parameters include adjusting the power of the ultraviolet lamp, irradiation time, water flow rate, and chemical agent dosage parameters.

6. An ultraviolet sterilization control system, using an ultraviolet sterilization control method as claimed in any one of claims 1 to 5, characterized in that: include: The control device end, the background control end and the equipment end establish a communication connection with the background control end and the equipment end. The control device end includes: The water treatment monitoring module obtains the boiler water treatment monitoring strategy and parameters and the ultraviolet water sterilization monitoring strategy and parameters, configures the boiler water treatment monitoring strategy and parameters and the ultraviolet water sterilization monitoring strategy and parameters on the corresponding equipment, monitors the boiler water treatment and ultraviolet water sterilization, and obtains the boiler water treatment operation data and ultraviolet water sterilization data; The ultraviolet sterilization detection module segments the boiler water treatment operation data and the ultraviolet water sterilization data obtained by monitoring according to the time when the data is generated to obtain segmented monitoring data, and the segmented monitoring data includes the segmented boiler water treatment operation data and the segmented ultraviolet water sterilization data; The sterilization analysis module substitutes the boiler water treatment operation data and the ultraviolet water sterilization data into a preset ultraviolet water sterilization effect prediction model to obtain ultraviolet water sterilization prediction effect data, and compares the segmented boiler water treatment operation data and the segmented ultraviolet water sterilization data with the ultraviolet water sterilization prediction effect data to obtain the first ultraviolet water sterilization effect error data; The sterilization effect detection module detects the water after the ultraviolet sterilization treatment in the boiler water treatment process, obtains the water quality monitoring data after the ultraviolet sterilization treatment in the boiler water treatment process, compares the water quality monitoring data after the ultraviolet sterilization treatment in the boiler water treatment process with the ultraviolet sterilization effect prediction data on water, and obtains the second ultraviolet sterilization effect error data on water; The water treatment sterilization adjustment module compares the error data of the first ultraviolet sterilization effect on water with the error data of the second ultraviolet sterilization effect on water. If the numerical difference between the error data of the first ultraviolet sterilization effect on water and the error data of the second ultraviolet sterilization effect on water is within a preset range, the boiler water treatment operation data and the ultraviolet sterilization data on water are accurate. If the numerical difference between the error data of the first ultraviolet sterilization effect on water and the error data of the second ultraviolet sterilization effect on water is not within the preset range, the boiler water treatment monitoring strategy and parameters and the ultraviolet sterilization monitoring strategy and parameters are adjusted and optimized to obtain the optimized water treatment sterilization equipment adjustment parameters.

7. The ultraviolet sterilization control system according to claim 1, characterized in that: The ultraviolet sterilization detection module comprises: The boiler water treatment operation data and ultraviolet water sterilization data obtained by monitoring include water flow and water pressure, and ultraviolet water sterilization data include ultraviolet intensity and sterilization time; Performing data detection and preprocessing on the boiler water treatment operation data and the ultraviolet water sterilization data obtained by monitoring, and obtaining the preprocessed boiler water treatment operation data and the ultraviolet water sterilization data; The data are segmented according to the time when the pre-treated boiler water treatment operation data and the ultraviolet water sterilization data are generated, and the segmented data are stored to form segmented monitoring data. The segmented monitoring data includes the segmented boiler water treatment operation data and the segmented ultraviolet water sterilization data.

8. The ultraviolet sterilization control system according to claim 1, characterized in that: The sterilization analysis module comprises: Obtain boiler water treatment operation data and UV water sterilization data, and build a UV water sterilization effect prediction model based on historical data and professional knowledge; Substituting boiler water treatment operation data and ultraviolet water sterilization data into the selected prediction model, running the ultraviolet water sterilization effect prediction model, and calculating the ultraviolet water sterilization effect prediction data based on the input data. The ultraviolet water sterilization effect prediction data includes the expected sterilization rate and the number of residual microorganisms. Compare the segmented boiler water treatment operation data and the segmented ultraviolet water sterilization data with the predicted effect data, and compare the actual sterilization effect and the predicted sterilization effect in each time period one by one; Calculate the error between the actual sterilization effect and the predicted sterilization effect in each time period, that is, the error data of the first ultraviolet sterilization effect on water.

9. The ultraviolet sterilization control system according to claim 1, characterized in that: The bactericidal effect detection module comprises: The water quality test of the collected water samples includes testing the number of microorganisms, turbidity, organic matter content, and pH value in the water; The water quality index data obtained from the test is recorded in detail to form the water quality monitoring data after ultraviolet disinfection treatment during the boiler water treatment process; Compare the water quality monitoring data after ultraviolet sterilization treatment in the boiler water treatment process with the data on the predicted effect of ultraviolet sterilization on water obtained through the sterilization analysis module, and compare the actual detected water quality indicators with the corresponding indicators in the prediction model one by one; According to the comparison results, the difference between the actual water quality monitoring data and the predicted effect data is calculated, that is, the error data of the second ultraviolet sterilization effect on water. The error data of the second ultraviolet sterilization effect on water is used to reflect the deviation between the actual effect and the predicted effect of ultraviolet sterilization treatment.

10. The ultraviolet sterilization control system according to claim 1, characterized in that: The water treatment sterilization and regulation module is also used for: Obtaining the error data of the first ultraviolet sterilization effect on water and the error data of the second ultraviolet sterilization effect on water, comparing the error data of the first ultraviolet sterilization effect on water and the error data of the second ultraviolet sterilization effect on water, and analyzing the numerical difference between the error data of the first ultraviolet sterilization effect on water and the error data of the second ultraviolet sterilization effect on water; Setting a preset error range value, and determining whether the numerical difference between the error data of the first ultraviolet light sterilization effect on water and the error data of the second ultraviolet light sterilization effect on water is within the preset range; If the numerical difference between the first ultraviolet water sterilization effect error data and the second ultraviolet water sterilization effect error data is within a preset range, the boiler water treatment operation data and the ultraviolet water sterilization data are accurate and do not need to be adjusted; If the numerical difference exceeds the preset range, there is a deviation in the boiler water treatment operation data and the ultraviolet water sterilization data. When the boiler water treatment operation data and the ultraviolet water sterilization data are inaccurate, the boiler water treatment monitoring strategy and parameters and the ultraviolet water sterilization monitoring strategy and parameters are adjusted and optimized. The water sterilization monitoring strategy and parameters include adjusting the power of the ultraviolet lamp, irradiation time, water flow rate, and chemical agent dosage parameters.

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