Water quality control method and system for through-flow boiler

Abstract

The invention relates to the technical field of automatic control, in particular to a water quality control method and system for a through-flow boiler. The method comprises the following steps: collecting a liquid sensing signal and a temperature sensing signal in the through-flow boiler; performing preliminary liquid resistance value calculation processing according to the liquid sensing signal to generate preliminary liquid resistance value data; performing liquid resistance value correction processing of temperature compensation on the initial liquid resistance value data based on the temperature sensing signal to generate liquid resistance value data; water feeding operation of a water feeding pump of the through-flow boiler is executed; performing instant liquid conductivity and dissolved solid concentration analysis processing on the liquid resistance value data according to the water supply operation of the water supply pump to respectively obtain an instant liquid conductivity signal and instant dissolved solid concentration data; and according to the instant liquid conductivity signal and the instant dissolved solid concentration data, pollution discharge control operation of the through-flow boiler is executed. By analyzing the water quality characteristics of the through-flow boiler, intelligent and efficient water quality pollution discharge control is realized.

Description

Technical Field

[0001] The present invention relates to the field of automatic control technology, and in particular to a water quality control method and system for a through-flow boiler. Background Art

[0002] A through-flow boiler is a vertical boiler in which the boiler body adopts a tube bundle connected between the upper and lower headers. Under the rated working pressure, the feed water is input from the lower header of the body, flows through more than two straight water pipe bundles connected between the upper and lower headers, and rises to produce rated parameter steam or hot water after being fully heated, and then output from the upper header of the body. Through-flow boilers have the characteristics of no drum, small water capacity, and low circulation ratio. Since through-flow boilers can complete heating to evaporation in one tube, their circulation ratio is very low, which is about one percent of that of natural circulation boilers, so the water quality requirements are very high. If water quality management is not taken seriously, scaling, corrosion, steam entrainment and other consequences will occur, which will further reduce the thermal effect of the boiler, and even cause accidents caused by tube bursts, affecting the safe operation of the boiler. The boiler water of a through-flow boiler mainly controls indicators such as dissolved solids and pH. In order to avoid the generation of steam carrying water, it is necessary to control the total dissolved solids (TDS) of the boiler water within a reasonable range. In addition, the dissolved solids concentration (TDS) of the aqueous solution is proportional to the conductivity. The boiler detects the conductivity of the aqueous solution through a conductivity sensor and indirectly obtains the TDS value of the water to control the TDS value of the boiler water within a reasonable range. However, how to improve the intelligence and automation level of the system while ensuring the accuracy of water quality control in the existing through-flow boiler water quality control methods has become a technical problem to be solved in the field of through-flow boiler water quality management. Especially in the case of large changes in water temperature, how to accurately and dynamically adjust the TDS value of the boiler water through conductivity monitoring and temperature compensation, avoid boiler scaling, corrosion and other problems, and ensure the efficient and safe operation of the boiler, is still an important direction for current technological development. Summary of the invention

[0003] Based on this, the present invention provides a water quality control method and system for a through-flow boiler to solve at least one of the above technical problems.

[0004] To achieve the above object, a water quality control method for a through-flow boiler comprises the following steps:

[0005] Step S1: using the liquid monitoring sensor and the temperature monitoring sensor built into the through-flow boiler to monitor and process the liquid sensing signal and the temperature sensing signal of the through-flow boiler, respectively generating a liquid sensing signal and a temperature sensing signal; performing preliminary liquid resistance calculation processing according to the liquid sensing signal, generating preliminary liquid resistance data;

[0006] Step S2: performing temperature compensation liquid resistance correction processing on the preliminary liquid resistance data based on the temperature sensing signal to generate liquid resistance data;

[0007] Step S3: executing a feed water pump water supply operation of the through-flow boiler; performing real-time liquid conductivity and dissolved solid concentration analysis and processing on the liquid resistance data according to the feed water pump water supply operation, and obtaining real-time liquid conductivity signals and real-time dissolved solid concentration data respectively;

[0008] Step S4: Execute the blowdown control operation of the throughflow boiler according to the real-time liquid conductivity signal and the real-time dissolved solids concentration data; perform water quality blowdown control feedback data analysis according to the blowdown control operation to generate water quality blowdown control feedback data.

[0009] Further, step S1 includes the following steps:

[0010] Step S11: using the liquid monitoring sensor and the temperature monitoring sensor built into the cross-flow boiler to monitor and process the liquid sensing signal and the temperature sensing signal of the cross-flow boiler, and generating a liquid sensing signal and a temperature sensing signal respectively;

[0011] Step S12: performing liquid current detection processing on the liquid sensing signal to generate a liquid current signal;

[0012] Step S13: performing preliminary liquid resistance calculation processing according to the liquid current signal to generate preliminary liquid resistance data.

[0013] Further, step S2 includes the following steps:

[0014] Step S21: converting the temperature sensing signal into a temperature electric variable signal to generate a temperature electric variable signal; analyzing the boiler temperature data according to the temperature electric variable signal to generate boiler temperature data;

[0015] Step S22: Acquire historical liquid resistance-thermal correlation data of the through-flow boiler;

[0016] Step S23: designing a prediction model for the correlation effect of liquid resistance and temperature compensation based on historical liquid resistance-thermal correlation data of the through-flow boiler, and generating a liquid resistance-temperature compensation correlation model;

[0017] Step S24: using the liquid resistance temperature compensation correlation model to analyze the temperature compensated liquid resistance correction data of the boiler temperature data to generate temperature compensated liquid resistance correction data;

[0018] Step S25: performing temperature-compensated liquid resistance correction processing on the preliminary liquid resistance data using the temperature-compensated liquid resistance correction data to generate liquid resistance data.

[0019] Further, step S23 includes the following steps:

[0020] Step S231: performing liquid sample resistance division processing according to historical liquid resistance-thermal correlation data to generate divided liquid sample resistance data; performing liquid sample resistance specificity analysis on the divided liquid sample resistance data to generate liquid sample resistance specificity data;

[0021] Step S232: performing resistance-specific temperature influence coefficient analysis and processing on historical throughflow boiler liquid resistance-thermal correlation data using liquid sample resistance-specific data to generate resistance-specific temperature influence coefficient;

[0022] Step S233: performing nonlinear temperature influence characteristic analysis of each specific type of liquid resistance according to the resistance-specific temperature influence coefficient, and generating liquid resistance nonlinear temperature influence characteristic data;

[0023] Step S234: using the nonlinear temperature influence characteristic data of liquid resistance as radial basis kernel parameters, and using the support vector machine algorithm and radial basis kernel parameters to analyze the correlation influence mapping relationship between liquid resistance and temperature compensation, and generating a liquid resistance temperature compensation correlation model.

[0024] Further, step S3 includes the following steps:

[0025] Step S31: performing digital signal conversion processing of liquid conductivity according to the liquid resistance data to generate a liquid conductivity signal;

[0026] Step S32: performing dissolved solid concentration analysis according to the liquid conductivity digital signal to generate dissolved solid concentration data;

[0027] Step S33: executing the feed water pump water supply operation of the through-flow boiler, and performing real-time update processing on the liquid conductivity digital signal and the dissolved solids concentration data according to the feed water pump water supply operation, to obtain the real-time liquid conductivity signal and the real-time dissolved solids concentration data respectively.

[0028] Further, wherein the continuous sewage discharge liquid conductivity threshold is greater than the continuous sewage discharge start conductivity threshold, and the continuous sewage discharge start conductivity threshold is greater than the continuous sewage discharge stop conductivity threshold, step S4 includes the following steps:

[0029] The execution of the blowdown control operation of the through-flow boiler includes steps S41 to S46, and the water quality blowdown control feedback data analysis is step S47;

[0030] Step S41: When the instantaneous liquid conductivity signal is not less than the preset continuous blowdown start conductivity threshold and the dissolved solids concentration data is not less than the preset dissolved solids concentration threshold, the continuous blowdown control operation of the throughflow boiler is performed;

[0031] Step S42: monitoring and processing the instant liquid conductivity signal and the instant dissolved solids concentration data of continuous sewage discharge according to the continuous sewage discharge control operation to obtain the continuous sewage discharge liquid conductivity signal and the continuous sewage discharge dissolved solids concentration data;

[0032] Step S43: performing time series trend analysis on the continuous sewage discharge conductivity signal to generate continuous sewage discharge conductivity trend data;

[0033] Step S44: when the continuous sewage discharge conductivity trend data is in an increasing trend, execute step S45; or, when the continuous sewage discharge conductivity trend data is in a decreasing trend, execute step S46;

[0034] Step S45: continuously monitoring the continuous sewage discharge liquid conductivity signal until the continuous sewage discharge liquid conductivity signal is not less than a preset continuous sewage discharge liquid conductivity threshold: performing auxiliary sewage discharge control processing on the continuous sewage discharge control operation to obtain an auxiliary sewage discharge control operation; performing first water quality sewage discharge control feedback data analysis according to the auxiliary sewage discharge control operation to generate first water quality sewage discharge control feedback data;

[0035] Step S46: when the continuous sewage discharge liquid conductivity signal is less than the preset continuous sewage discharge stop conductivity threshold or the continuous sewage discharge dissolved solids concentration data is less than the preset dissolved solids concentration threshold: the continuous sewage discharge control operation is subjected to sewage discharge end control processing to obtain a second sewage discharge end control operation; through the second sewage discharge end control operation, the corresponding continuous sewage discharge liquid conductivity signal and the continuous sewage discharge dissolved solids concentration data are subjected to a second water quality sewage discharge control feedback data analysis to generate the second water quality sewage discharge control feedback data;

[0036] Step S47: Perform water quality and pollution control feedback data analysis based on the first water quality and pollution control feedback data or the second water quality and pollution control feedback data to generate water quality and pollution control feedback data.

[0037] Furthermore, the continuous blowdown control operation of the through-flow boiler in step S41 includes the following steps:

[0038] A quantitative blowdown demand assessment is performed based on the real-time liquid conductivity signal and the real-time dissolved solids concentration data to generate quantitative blowdown demand assessment data; an adaptive blowdown throttle orifice adjustment parameter analysis is performed based on the quantitative blowdown demand assessment data to generate adaptive blowdown throttle orifice adjustment parameters; and continuous blowdown control operations of the throughflow boiler are performed based on the adaptive blowdown throttle orifice adjustment parameters.

[0039] Furthermore, the auxiliary pollution discharge control process is performed on the continuous pollution discharge control operation in step S45 to obtain the auxiliary pollution discharge control operation, which includes the following steps:

[0040] Perform water supply synchronous stop control on the water supply operation of the water supply pump, and maintain the sewage discharge control on the continuous sewage discharge control operation; mark the auxiliary sewage discharge control operation according to the water supply operation of the water supply synchronous stop control and the continuous sewage discharge control operation of the sewage control to obtain the auxiliary sewage discharge control operation.

[0041] Furthermore, the first water quality pollution control feedback data analysis according to the auxiliary pollution control operation in step S45 includes the following steps:

[0042] Monitoring and processing the liquid conductivity and dissolved solids concentration of the auxiliary sewage discharge according to the auxiliary sewage discharge control operation on the continuous sewage discharge liquid conductivity signal and the continuous sewage discharge dissolved solids concentration data to obtain the auxiliary sewage discharge liquid conductivity signal and the auxiliary sewage discharge dissolved solids concentration data;

[0043] When the auxiliary sewage discharge liquid conductivity signal is less than the preset continuous sewage discharge stop conductivity threshold or the auxiliary sewage discharge dissolved solids concentration data is less than the preset dissolved solids concentration threshold, the auxiliary sewage discharge control operation is subjected to sewage discharge termination control processing to obtain the first sewage discharge termination control operation. Through the first sewage discharge termination control operation, the corresponding auxiliary sewage discharge liquid conductivity signal and the auxiliary sewage discharge dissolved solids concentration data are subjected to the first water quality sewage discharge control feedback data analysis to generate the first water quality sewage discharge control feedback data.

[0044] This specification provides a water quality control system for a through-flow boiler, which is used to execute the water quality control method for a through-flow boiler as described above. The water quality control system for a through-flow boiler includes:

[0045] A preliminary liquid resistance analysis module is used to monitor and process the liquid sensing signal and temperature sensing signal of the through-flow boiler using the liquid monitoring sensor and temperature monitoring sensor built into the through-flow boiler, and generate a liquid sensing signal and a temperature sensing signal respectively; perform preliminary liquid resistance calculation processing according to the liquid sensing signal, and generate preliminary liquid resistance data;

[0046] A liquid resistance temperature compensation analysis module is used to perform temperature compensation on preliminary liquid resistance data based on a temperature sensing signal to generate liquid resistance data;

[0047] The feedwater analysis module of the through-flow boiler is used to perform the feedwater pump feedwater operation of the through-flow boiler; according to the feedwater pump feedwater operation, the liquid resistance data is subjected to real-time liquid conductivity and dissolved solids concentration analysis and processing, and real-time liquid conductivity signal and real-time dissolved solids concentration data are obtained respectively;

[0048] The blowdown control module of the through-flow boiler is used to perform blowdown control operations of the through-flow boiler according to the real-time liquid conductivity signal and the real-time dissolved solids concentration data; and to analyze water quality blowdown control feedback data according to the blowdown control operations to generate water quality blowdown control feedback data.

[0049] The beneficial effect of the present application is that the present invention realizes real-time monitoring and precise control of the water quality of the through-flow boiler by combining the liquid monitoring sensor and the temperature monitoring sensor. The built-in liquid monitoring sensor is used to collect the liquid sensing signal, and the temperature sensing signal is generated in combination with the temperature monitoring sensor to reflect the state and temperature change of the boiler water. The water quality change can be monitored at any time during the operation of the boiler to ensure a rapid response to the water quality management. The liquid sensing signal is processed by current detection to generate a liquid current signal, which effectively converts the conductivity of the liquid into a current signal and provides accurate input for the subsequent liquid resistance calculation. The water resistance is preliminarily estimated according to the real-time liquid current signal to preliminarily reflect the dissolved solid concentration of the boiler water. The temperature sensing signal is converted into a temperature-electric variable signal and the boiler temperature data is generated. The temperature change of the boiler directly affects the conductivity and dissolved solid concentration of the water. Therefore, the real-time monitoring of the temperature data can accurately judge the change of the water quality and avoid the error caused by the temperature fluctuation. By obtaining the historical liquid resistance-thermal correlation data of the through-flow boiler, the system is helped to identify the correlation between temperature and liquid resistance, and a theoretical basis is provided for the resistance correction based on temperature change. Through the analysis of liquid sample resistance specificity, temperature influence coefficient, nonlinear temperature influence characteristics and support vector machine algorithm analysis of radial basis kernel parameters, the correlation influence prediction model of liquid resistance and temperature compensation is accurately designed. The in-depth exploration of the relationship between liquid resistance and temperature makes the temperature compensation of liquid resistance more accurate, avoiding the water quality control error caused by temperature change, and can compensate for the temperature influence in real time and accurately, improving the level of intelligence and automation. Based on the liquid resistance temperature compensation correlation model, the boiler temperature data is compensated, which greatly improves the system's sensitivity to water quality changes, making water quality control more accurate and efficient. Through temperature compensation of liquid resistance correction, the error accumulation caused by temperature change is avoided, ensuring the stable operation of the through-flow boiler under various working conditions. The digital signal of liquid resistance data is converted into liquid conductivity signal, which intuitively reflects the change of water quality. Conductivity is a common indicator for measuring soluble solids in water. Therefore, converting liquid resistance into conductivity signal provides more accurate basic data for water quality monitoring. The dissolved solids concentration is further analyzed through the liquid conductivity digital signal. The dissolved solids concentration is an important parameter in the water quality control of the through-flow boiler. By real-time monitoring of the dissolved solids concentration, water quality abnormalities can be discovered in time. By executing the feed water pump water supply operation and updating the liquid conductivity signal and dissolved solids concentration data in real time according to the operation of the feed water pump, the real-time and accuracy of water quality monitoring is ensured. Each water supply operation will have an impact on the water quality status in the boiler. Timely updating of liquid conductivity and dissolved solids concentration data can quickly adjust the water quality control strategy according to the operating conditions of the boiler.When the liquid conductivity and dissolved solids concentration reach the preset threshold, the system will automatically start the continuous blowdown control operation, which can timely control the changes in the water quality inside the boiler and avoid the adverse effects such as corrosion and scaling caused by poor water quality. Through precise threshold setting, it is ensured that the blowdown operation is only carried out when necessary, which improves the blowdown efficiency and reduces energy waste. In addition, through the quantitative evaluation and processing of blowdown demand and the analysis of the adaptive blowdown throttle adjustment parameters, the accuracy of the blowdown operation is improved, and the blowdown operation is made more flexible and intelligent. Through adaptive adjustment, the intensity of the blowdown operation is adjusted in time according to the actual water quality, avoiding excessive or insufficient blowdown, thereby achieving precise control of water quality. Through continuous monitoring of the liquid conductivity and dissolved solids concentration of the blowdown, time series trend analysis and trend judgment, the system can respond to changes in water quality in a timely manner. When the conductivity trend rises, the system will continue to strengthen the sewage discharge until the conductivity reaches the preset value; when the conductivity decreases, the system will reduce or stop sewage discharge. Through trend analysis, intelligent water quality adjustment is achieved, so that sewage discharge operations are not only based on real-time data, but also combined with historical data and trends, further improving the scientificity and rationality of sewage discharge control. When the continuous sewage discharge liquid conductivity signal does not meet the conditions for stopping sewage discharge, the system will use auxiliary sewage discharge control processing to maintain strict control of boiler water quality and avoid abnormal boiler water quality caused by premature cessation of sewage discharge. The consistency and stability of sewage discharge control operations are ensured by synchronous stop control of water supply operations of feed pumps. At the same time, water quality sewage discharge control feedback analysis is carried out according to auxiliary sewage discharge control operations to optimize sewage discharge operations. Through precise marking and data analysis of sewage discharge behavior, water quality control is made more systematic and automated, and can be adjusted in real time according to water quality feedback data.

[0050] Therefore, the water quality control method of the through-flow boiler of the present invention can monitor the conductivity and temperature changes of the water quality in the boiler in real time through the combined use of the liquid monitoring sensor and the temperature monitoring sensor built into the through-flow boiler, and accurately adjust the resistance data of the liquid through temperature compensation processing. The liquid resistance and temperature correlation compensation model is designed based on the historical liquid resistance-thermal correlation data, which can dynamically adapt to temperature changes and accurately calculate the impact of temperature changes on water quality, thereby optimizing the boiler water TDS (total dissolved solids) value. Through this intelligent dynamic adjustment, water quality fluctuations caused by temperature fluctuations can be effectively avoided, thereby minimizing the risk of boiler scaling and corrosion and extending the service life of the boiler. In addition, a sewage discharge control mechanism based on real-time liquid conductivity and dissolved solids concentration data is introduced. Combined with the liquid conductivity signal corrected by temperature compensation, it can accurately evaluate sewage discharge needs and adaptively adjust sewage discharge intensity. By continuously monitoring the liquid conductivity and dissolved solids concentration, and judging the trend of water quality changes through time series trend analysis, the system can intelligently adjust the sewage discharge operation, thereby ensuring the accuracy of water quality control while avoiding energy waste or water quality abnormalities caused by excessive or insufficient sewage discharge. Provide accurate real-time feedback on water quality changes to ensure that the boiler is always in the best operating state. The system not only has a high level of automation and can automatically complete water quality monitoring, analysis and control, but also can intelligently adjust the operation strategy according to different working conditions, greatly improving the water quality management efficiency of the boiler. At the same time, precise sewage control also effectively reduces the frequency and intensity of sewage discharge operations, further improving energy efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 A schematic flow chart of the steps of a method for controlling water quality of a through-flow boiler according to the present invention;

[0052] Figure 2 for Figure 1 Detailed implementation steps of step S4 in FIG.

[0053] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0054] The technical method of the present invention is described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are 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 technicians in this field without creative work are within the scope of protection of the present invention.

[0055] In addition, the accompanying drawings are only schematic illustrations of the present invention and are not necessarily drawn to scale. The same reference numerals in the figures represent the same or similar parts, and their repeated description will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities and do not necessarily correspond to physically or logically independent entities. The functional entities can be implemented in software form, or implemented in one or more hardware modules or integrated circuits, or implemented in different networks and / or processor methods and / or microcontroller methods.

[0056] It should be understood that, although the terms "first", "second", etc. may be used herein to describe various units, these units should not be limited by these terms. These terms are used only to distinguish one unit from another unit. For example, without departing from the scope of the exemplary embodiments, the first unit may be referred to as the second unit, and similarly the second unit may be referred to as the first unit. The term "and / or" used herein includes any and all combinations of one or more of the listed associated items.

[0057] To achieve this, please refer to Figure 1 to Figure 2 The present invention provides a water quality control method for a through-flow boiler. In the embodiment of the present invention, please refer to Figure 1 FIG. 1 is a schematic flow chart of a method for controlling water quality of a through-flow boiler according to the present invention. The method for controlling water quality of a through-flow boiler comprises the following steps:

[0058] Step S1: using the liquid monitoring sensor and the temperature monitoring sensor built into the through-flow boiler to monitor and process the liquid sensing signal and the temperature sensing signal of the through-flow boiler, respectively generating a liquid sensing signal and a temperature sensing signal; performing preliminary liquid resistance calculation processing according to the liquid sensing signal, generating preliminary liquid resistance data;

[0059] In an embodiment of the present invention, the automatic boiler water control system is composed of a control panel, a water supply pump, a dosing device, a conductivity sensor, a thermistor, a continuous sewage discharge solenoid valve and a throttle hole. Liquid monitoring sensors and temperature monitoring sensors are installed in key positions of the boiler, such as water supply pipes, steam pipes and circulating water areas in the boiler. These sensors are connected to the central control system through wireless or wired networks to collect liquid sensing signals and temperature sensing signals in real time. The liquid monitoring sensor includes two electrodes insulated from each other. The electrode material is usually 316 type stainless steel, and the electrodes have a specific size and spacing. Liquid sensing signals are generated by measuring the conductivity or impedance of water in the boiler. The processing of liquid sensing signals is carried out through a data acquisition system, and the data acquisition frequency is set to once per second to ensure real-time response to water quality changes. The liquid sensing signal is converted into liquid resistance data by a conductivity measurement circuit, and the liquid resistance is detected by connecting to a sensor immersed in the liquid. The detection circuit applies an AC voltage to the sensor, and measures the magnitude of the generated current, which is converted into a conductivity value by a conductivity detection conversion circuit. The liquid current detection circuit is used to detect the current signal passing through the liquid. The liquid current detection circuit processes the liquid sensing signal through liquid current detection to generate a liquid current signal. The liquid sensing signal is preliminarily calculated for liquid resistance according to the conductivity detection conversion circuit. The accuracy and real-time performance of the boiler water quality data are ensured by continuously monitoring the liquid current signal and performing real-time calculations to generate preliminary liquid resistance data. In this way, the entire liquid resistance calculation process can be completed with very high accuracy and speed, and because the liquid resistance is directly related to the dissolved substances in the water, it can accurately reflect changes in water quality.

[0060] Step S2: performing temperature compensation liquid resistance correction processing on the preliminary liquid resistance data based on the temperature sensing signal to generate liquid resistance data;

[0061] In an embodiment of the present invention, the temperature monitoring sensor uses a thermocouple or RTD sensor, which is installed in the upstream and downstream areas of the water flow in the boiler to accurately record the temperature change of the water in the boiler. The temperature signal output by the sensor is converted into a standard electrical signal by the temperature sensor signal processing module and sent to the central control system. The acquisition frequency of the temperature signal is also once per second, and the temperature signal is converted into boiler temperature data by the temperature compensation detection conversion circuit. The temperature compensation detection conversion circuit includes a temperature sensing power generation circuit, a sensor current detection circuit, and a sensor current conversion circuit. For example, the temperature signal output by the sensor is usually an analog signal. After the temperature electrical variable signal conversion processing, it is converted into a standardized electrical variable signal, and an analog-to-digital converter (ADC) is used to convert the analog signal into a digital signal to determine the actual value of the boiler water temperature. The historical liquid resistance-thermal correlation data of the through-flow boiler is collected and stored in a database. Based on the historical liquid resistance-thermal correlation data, a correlation influence prediction model of liquid resistance and temperature compensation is designed. The design of this model requires analysis of the nonlinear relationship between liquid resistance and temperature, so as to compensate for the change of liquid resistance according to different temperatures. For example, it is assumed that through historical data analysis, it is found that the liquid resistance shows a nonlinear downward trend as the temperature increases. Through regression analysis methods, such as support vector machine (SVM) algorithm, a liquid resistance temperature compensation model is designed based on these data. The core of the model is to calculate the correction coefficient of the liquid resistance at the temperature according to the temperature change. The model predicts and corrects the liquid resistance by calculating the correlation coefficient between the liquid resistance and temperature. The designed model can be applied to different boiler types and operating conditions, providing an accurate basis for the subsequent liquid resistance compensation processing. By applying the designed liquid resistance temperature compensation correlation model, the temperature data of the boiler is analyzed for the temperature compensation of the liquid resistance correction data. In this process, the system uses the model output correction coefficient to perform temperature compensation of the liquid resistance according to the current boiler water temperature and historical data. Through the temperature compensation liquid resistance correction data, the preliminary liquid resistance data is subjected to temperature compensation liquid resistance correction processing to generate liquid resistance data. The purpose of this process is to further improve the accuracy of the liquid resistance data to avoid scaling and corrosion problems caused by changes in water quality in the boiler. The entire process of temperature compensation and liquid resistance correction, combined with real-time data and historical experience, ensures the water quality control accuracy of the through-flow boiler and can dynamically adapt to changes in water quality and temperature during boiler operation, thereby improving the automation and intelligence level of the boiler system and ensuring its efficient and safe operation.

[0062] Step S3: executing a feed water pump water supply operation of the through-flow boiler; performing real-time liquid conductivity and dissolved solid concentration analysis and processing on the liquid resistance data according to the feed water pump water supply operation, and obtaining real-time liquid conductivity signals and real-time dissolved solid concentration data respectively;

[0063] In an embodiment of the present invention, a digital signal conversion process of liquid conductivity is performed based on liquid resistance data. Liquid resistance signals are usually collected by sensors and processed to be converted into conductivity signals. Conductivity is the ability of dissolved ions in a liquid to conduct electricity, and the conductivity of a liquid is inversely proportional to its resistance. In practical applications, a liquid resistance sensor outputs resistance data in the form of an analog signal. Through a single-chip conversion module, a standard voltage signal corresponding to the liquid resistance converted by a conductivity detection conversion circuit is converted into a digital conductivity value signal, and provided to an internal control program for use to generate a liquid conductivity signal. Dissolved solids concentration analysis is performed based on the liquid conductivity digital signal. The dissolved solids (TDS) concentration is usually linearly correlated with the liquid conductivity. The higher the conductivity, the greater the dissolved solids concentration. Therefore, dissolved solids are calculated by historical environmental assessment factors and by using a TDS concentration calculation formula and empirical constants obtained through experiments. The feedwater pump feed water operation of the throughflow boiler is executed, and the liquid conductivity digital signal and dissolved solids concentration data are updated in real time according to the feedwater pump feed water operation. During the operation of the feedwater pump, the boiler water quality may fluctuate due to changes in water volume, so it is necessary to continuously update the liquid conductivity and dissolved solids concentration data. During the real-time data update process, the liquid conductivity and TDS concentration data will be transmitted to the control system for necessary analysis and feedback adjustments. For example, if it is detected that the liquid conductivity exceeds the preset threshold, the system can start blowdown or adjust the feedwater volume to reduce the dissolved solids concentration in the liquid and avoid problems such as boiler scaling or corrosion.

[0064] Step S4: Execute the blowdown control operation of the throughflow boiler according to the real-time liquid conductivity signal and the real-time dissolved solids concentration data; perform water quality blowdown control feedback data analysis according to the blowdown control operation to generate water quality blowdown control feedback data.

[0065] In the embodiment of the present invention, the blowdown control operation of the through-flow boiler is performed according to the instantaneous liquid conductivity signal and the instantaneous dissolved solid concentration data, and the blowdown control operation of the through-flow boiler includes: the continuous blowdown solenoid valve opening condition, for example, when feeding water, the dissolved solid concentration data is not less than 1800 mg / L (preset dissolved solid concentration threshold), and the conductivity of the boiler water is not less than the set value of the continuous blowdown start conductivity. (Blowdown start conductivity setting value K1 = 3000μs / cm). The continuous blowdown solenoid valve closing condition, for example, when feeding water, the dissolved solid concentration data is less than 1500 mg / L (preset dissolved solid concentration threshold) or the conductivity of the boiler water is less than the set value of the continuous blowdown end conductivity. (The setting value of conductivity at the end of sewage discharge K2 = 2500μs / cm) Auxiliary continuous sewage discharge function, for example, when the conventional continuous sewage discharge is turned on and the boiler water conductivity does not drop, and reaches (K1+500)μs / cm or above, the water supply synchronization of continuous sewage discharge is released, and even if the water supply stops, the continuous sewage discharge continues for the water supply time (water supply ON-OFF time) to ensure the sewage discharge volume. In the conventional continuous sewage discharge function, the continuous sewage discharge valve is opened at the same time when water is supplied, and the continuous sewage discharge solenoid valve is closed when the water supply pump stops. When the auxiliary continuous sewage discharge function is activated, the water supply synchronization condition of continuous sewage discharge is released, and the continuous sewage discharge valve continues to be opened after the water supply stops, and the duration is the water supply time (water supply ON-OFF time), and then the continuous sewage discharge valve is closed. (Because the sewage valve opening time is twice as long as the previous continuous sewage discharge time, the sewage discharge rate can also reach twice as much). This action is released after the boiler water conductivity drops below the conductivity setting value at the end of continuous sewage discharge, and the conventional continuous sewage discharge action is restored. According to the change trend of the real-time liquid conductivity signal and the real-time dissolved solids concentration data corresponding to the monitoring of the sewage control operation, the system will generate water quality sewage control feedback data. Specifically, when the liquid conductivity and dissolved solids concentration continue to decrease and tend to stabilize, the system believes that the sewage effect has reached the best state, and then summarizes the water quality sewage control feedback data. These data not only provide an evaluation of the effect of the current sewage operation, but also provide data support and optimization basis for the next round of sewage control operations.

[0066] Further, step S1 includes the following steps:

[0067] Step S11: using the liquid monitoring sensor and the temperature monitoring sensor built into the cross-flow boiler to monitor and process the liquid sensing signal and the temperature sensing signal of the cross-flow boiler, and generating a liquid sensing signal and a temperature sensing signal respectively;

[0068] Step S12: performing liquid current detection processing on the liquid sensing signal to generate a liquid current signal;

[0069] Step S13: performing preliminary liquid resistance calculation processing according to the liquid current signal to generate preliminary liquid resistance data.

[0070] In an embodiment of the present invention, the automatic boiler water control system is composed of a control panel, a water supply pump, a dosing device, a conductivity sensor, a thermistor, a continuous sewage discharge solenoid valve and a throttle hole. Liquid monitoring sensors and temperature monitoring sensors are installed in key positions of the boiler, such as water supply pipes, steam pipes and circulating water areas in the boiler. These sensors are connected to the central control system through wireless or wired networks to collect liquid sensing signals and temperature sensing signals in real time. The liquid monitoring sensor includes two electrodes insulated from each other. The electrode material is usually 316 type stainless steel, and the electrodes have a specific size and spacing. Liquid sensing signals are generated by measuring the conductivity or impedance of water in the boiler. The processing of liquid sensing signals is carried out through a data acquisition system, and the data acquisition frequency is set to once per second to ensure real-time response to water quality changes. The liquid sensing signal is converted into liquid resistance data by a conductivity measurement circuit, and the liquid resistance is detected by connecting to a sensor immersed in the liquid. The detection circuit applies an AC voltage to the sensor, and measures the magnitude of the generated current, which is converted into a conductivity value by a conductivity detection conversion circuit. The liquid current detection circuit is used to detect the current signal passing through the liquid. The liquid current detection circuit processes the liquid sensing signal through liquid current detection to generate a liquid current signal. The liquid sensing signal is preliminarily calculated for liquid resistance according to the conductivity detection conversion circuit. The accuracy and real-time performance of the boiler water quality data are ensured by continuously monitoring the liquid current signal and performing real-time calculations to generate preliminary liquid resistance data. In this way, the entire liquid resistance calculation process can be completed with very high accuracy and speed, and because the liquid resistance is directly related to the dissolved substances in the water, it can accurately reflect changes in water quality.

[0071] Further, step S2 includes the following steps:

[0072] Step S21: converting the temperature sensing signal into a temperature electric variable signal to generate a temperature electric variable signal; analyzing the boiler temperature data according to the temperature electric variable signal to generate boiler temperature data;

[0073] Step S22: Acquire historical liquid resistance-thermal correlation data of the through-flow boiler;

[0074] Step S23: designing a correlation effect prediction model of liquid resistance and temperature compensation based on historical liquid resistance-thermal correlation data of the through-flow boiler, and generating a liquid resistance temperature compensation correlation model;

[0075] Step S24: using the liquid resistance temperature compensation correlation model to analyze the temperature compensated liquid resistance correction data of the boiler temperature data to generate temperature compensated liquid resistance correction data;

[0076] Step S25: performing temperature-compensated liquid resistance correction processing on the preliminary liquid resistance data using the temperature-compensated liquid resistance correction data to generate liquid resistance data.

[0077] In an embodiment of the present invention, the temperature monitoring sensor uses a thermocouple or RTD sensor, which is installed in the upstream and downstream areas of the water flow in the boiler to accurately record the temperature change of the water in the boiler. The temperature signal output by the sensor is converted into a standard electrical signal by the temperature sensor signal processing module and sent to the central control system. The acquisition frequency of the temperature signal is also once per second, and the temperature signal is converted into boiler temperature data by the temperature compensation detection conversion circuit. The temperature compensation detection conversion circuit includes a temperature sensing power generation circuit, a sensor current detection circuit, and a sensor current conversion circuit. For example, the temperature signal output by the sensor is usually an analog signal, which is converted into a standardized electrical variable signal after being converted into a temperature electrical variable signal. The conversion process of the temperature signal uses an analog-to-digital converter (ADC) to convert the analog signal into a digital signal. The range of the converted temperature electrical variable signal is usually 0-10V, indicating the change of the boiler water temperature. Under a certain working environment, when the actual water temperature of the boiler is 150°C, the temperature electrical variable signal generated by the temperature sensing signal after conversion is 5V. The system performs boiler temperature data analysis based on this temperature electrical variable signal to determine the actual value of the boiler water temperature. The historical liquid resistance-thermal correlation data of the through-flow boiler is collected and stored in a database. These historical data include the liquid resistance (calculated from the liquid sensing signal and the liquid current signal) and the corresponding boiler temperature data under different boiler operating conditions. These data are accumulated and formed based on experimental and field data through long-term monitoring of the operating status of the boiler. For example, the historical data of a cross-flow boiler includes the following: at a temperature of 140°C, the liquid resistance is 300Ω; at a temperature of 160°C, the liquid resistance is 250Ω; at a temperature of 180°C, the liquid resistance is 220Ω. The collection of historical liquid resistance-thermal correlation data is completed by regularly monitoring, analyzing and recording the boiler water quality. This data set will be used for subsequent modeling of the relationship between liquid resistance and temperature, and provide a basis for generating a liquid resistance temperature compensation correlation model. Based on the historical liquid resistance-thermal correlation data, a correlation influence prediction model of liquid resistance and temperature compensation is designed. The design of this model requires the analysis of the nonlinear relationship between liquid resistance and temperature, so as to compensate for the change of liquid resistance according to different temperatures. For example, suppose that through historical data analysis, it is found that the liquid resistance shows a nonlinear downward trend with increasing temperature. Through regression analysis methods, such as the support vector machine (SVM) algorithm, a liquid resistance temperature compensation model is designed based on these data. The core of the model is to calculate the correction coefficient of the liquid resistance at that temperature based on the temperature change. Specifically, if the temperature changes by 10°C, the liquid resistance may need to be corrected by 5Ω. The model predicts and corrects the liquid resistance by calculating the correlation coefficient between the liquid resistance and temperature. The designed model can be applied to different boiler types and operating conditions, providing an accurate basis for the subsequent liquid resistance compensation process.By applying the designed liquid resistance temperature compensation correlation model, the temperature data of the boiler is analyzed for temperature compensation of the liquid resistance correction data. In this process, the system uses the model output correction coefficient to perform temperature compensation of the liquid resistance based on the current boiler water temperature and historical data. For example, assuming that the current temperature of the boiler is 150℃, the model calculation predicts that the liquid resistance correction coefficient at this temperature is 5Ω. Based on this correction coefficient, the preliminary liquid resistance (such as 250Ω) actually measured by the boiler is corrected to generate temperature-compensated liquid resistance correction data, and the new liquid resistance is 245Ω. This corrected data more accurately reflects the impact of temperature on liquid resistance, providing a reliable data basis for subsequent water quality control and regulation. Through the temperature compensation liquid resistance correction data, the preliminary liquid resistance data is subjected to temperature compensation liquid resistance correction processing. The purpose of this processing process is to further improve the accuracy of the liquid resistance data to avoid scaling and corrosion problems caused by changes in water quality in the boiler. For example, the preliminary measured liquid resistance is 250Ω. When the boiler water temperature is 150℃, after temperature compensation, the liquid resistance correction value is 245Ω. Subsequently, by comparing historical data with current correction data, the correction model is used to further correct the liquid resistance, and finally accurate liquid resistance data (such as 243Ω) is obtained. This accurate liquid resistance data can be used as the core parameter of boiler water quality control to help adjust the water quality during boiler operation and adjust the sewage or water supply in time, so as to avoid water quality deterioration affecting the operating efficiency and safety of the boiler. Finally, the entire process of temperature compensation and liquid resistance correction, combined with real-time data and historical experience, ensures the water quality control accuracy of the through-flow boiler, and can dynamically adapt to changes in water quality and temperature during boiler operation, thereby improving the automation and intelligence level of the boiler system and ensuring its efficient and safe operation.

[0078] Further, step S23 includes the following steps:

[0079] Step S231: performing liquid sample resistance division processing according to historical liquid resistance-thermal correlation data to generate divided liquid sample resistance data; performing liquid sample resistance specificity analysis on the divided liquid sample resistance data to generate liquid sample resistance specificity data;

[0080] Step S232: performing resistance-specific temperature influence coefficient analysis and processing on historical throughflow boiler liquid resistance-thermal correlation data using liquid sample resistance-specific data to generate resistance-specific temperature influence coefficient;

[0081] Step S233: performing nonlinear temperature influence characteristic analysis of each specific type of liquid resistance according to the resistance-specific temperature influence coefficient, and generating liquid resistance nonlinear temperature influence characteristic data;

[0082] Step S234: using the nonlinear temperature influence characteristic data of liquid resistance as radial basis kernel parameters, and using the support vector machine algorithm and radial basis kernel parameters to analyze the correlation influence mapping relationship between liquid resistance and temperature compensation, and generating a liquid resistance temperature compensation correlation model.

[0083] In an embodiment of the present invention, liquid sample resistance division processing is performed based on historical liquid resistance-thermal correlation data. First, the historical liquid resistance data is grouped according to different temperature ranges. For example, a temperature range of 100°C to 200°C can be set, and the liquid resistance range is 100Ω to 400Ω. According to these conditions, the liquid resistance data is divided into multiple sub-intervals, and each sub-interval represents a different liquid sample resistance data group. For example, in an actual application scenario, when the temperature of the boiler is between 150°C and 160°C, the resistance range of the liquid is 250Ω to 270Ω. According to this interval, all liquid resistance data measured in this temperature range are grouped together, that is, a liquid sample resistance data group is generated. The division of these data groups is helpful for subsequent resistance-specific analysis. Next, the liquid sample resistance-specific analysis is performed on these divided liquid sample resistance data. This analysis is used to reveal the specific characteristics corresponding to different liquid resistances, such as the resistance change rate of a certain liquid in a certain temperature range. By using statistical analysis methods, such as variance analysis or cluster analysis, the resistance characteristics of the liquid sample can be obtained. For example, in the above-mentioned range of 150°C to 160°C, the resistance change rate of the liquid is 2Ω per degree Celsius. After this characteristic data is generated, it will provide the necessary basic data for subsequent analysis. The resistance-specific data of the liquid sample is used to analyze the resistance-specific temperature influence coefficient of the historical throughflow boiler liquid resistance-thermal correlation data. The analysis process first identifies the relationship between the resistance characteristics of different liquid samples and temperature changes. Through regression analysis methods (such as polynomial regression or weighted regression), the specific influence coefficient of temperature on the liquid resistance is calculated based on the relationship between the resistance-specific data of the liquid sample and the historical temperature data. For example, through analysis, it is found that when the temperature increases by 10°C, the change coefficient of the liquid resistance is 0.3Ω per degree Celsius. These calculated temperature influence coefficients will be used in subsequent temperature compensation calculations. For example, if the boiler temperature increases from 160°C to 170°C, the expected change in the liquid resistance is 3Ω. In this way, the impact of temperature changes on liquid resistance can be accurately predicted, thereby ensuring that the boiler's water quality control can be adjusted accordingly based on the real-time temperature. According to the resistance-specific temperature influence coefficient, the nonlinear temperature influence characteristic analysis of each specific type of liquid resistance is carried out. By analyzing the nonlinear relationship between the resistance and temperature of different liquid samples, it is revealed how the liquid resistance changes in a nonlinear manner at different temperatures. For example, in a specific liquid sample, the change in liquid resistance with increasing temperature is not linear, but presents a more complex curve change. By fitting these data, the nonlinear temperature influence characteristics of liquid resistance with temperature are generated. For example, in the temperature range of 150°C to 200°C, the change curve of liquid resistance can be fitted with a quadratic polynomial: resistance = 200 + 0.5*temperature-0.01*temperature squared.According to the fitting equation, the resistance of the liquid at any temperature can be accurately calculated, thereby providing more accurate data for subsequent compensation operations. The nonlinear temperature influence characteristic data of the liquid resistance is used as the radial basis kernel parameter, and the support vector machine (SVM) algorithm is used to analyze the correlation influence mapping relationship between the liquid resistance and temperature compensation. The nonlinear influence characteristics of the liquid resistance and temperature are used as input data, and the radial basis function (RBF) is used for kernel mapping to convert it to a higher dimensional space. Then, the SVM algorithm is used to train the data to generate a correlation influence model between the liquid resistance and temperature compensation. Specifically, it is assumed that the data obtained by the previous nonlinear temperature influence characteristic analysis is as follows: when the temperature increases from 150℃ to 160℃, the change in liquid resistance is 5Ω. By inputting these data into the SVM model, a mapping relationship is obtained after training. Based on this model, the liquid resistance compensation correction value brought about by each temperature change can be accurately calculated according to the actual measured boiler temperature data, thereby ensuring the accuracy of boiler water quality control. These models are not only suitable for the current boiler water quality adjustment, but can also be dynamically adjusted during the operation of the boiler to adapt to different water quality and temperature changes. The nonlinear effect of temperature change on liquid resistance is effectively taken into account, and the boiler water quality control measures are adjusted according to this complex relationship, thereby improving the accuracy and stability of water quality management.

[0084] Further, step S3 includes the following steps:

[0085] Step S31: performing digital signal conversion processing of liquid conductivity according to the liquid resistance data to generate a liquid conductivity signal;

[0086] Step S32: performing dissolved solid concentration analysis according to the liquid conductivity digital signal to generate dissolved solid concentration data;

[0087] Step S33: executing the feed water pump water supply operation of the through-flow boiler, and performing real-time update processing on the liquid conductivity digital signal and the dissolved solids concentration data according to the feed water pump water supply operation, to obtain the real-time liquid conductivity signal and the real-time dissolved solids concentration data respectively.

[0088] In an embodiment of the present invention, a digital signal conversion process of liquid conductivity is performed based on liquid resistance data. Liquid resistance signals are usually collected by sensors and processed to be converted into conductivity signals. Conductivity is the ability of dissolved ions in a liquid to conduct electricity, and the conductivity of a liquid is inversely proportional to its resistance. In practical applications, a liquid resistance sensor outputs resistance data in the form of an analog signal. Through a single-chip conversion module, a standard voltage signal corresponding to the liquid resistance converted by a conductivity detection conversion circuit is converted into a digital conductivity value signal, and provided to an internal control program for use to generate a liquid conductivity signal. Dissolved solids concentration analysis is performed based on the liquid conductivity digital signal. The dissolved solids (TDS) concentration is usually linearly correlated with the liquid conductivity. The higher the conductivity, the greater the dissolved solids concentration. Therefore, dissolved solids are calculated by historical environmental assessment factors and by using a TDS concentration calculation formula and empirical constants obtained through experiments. The feedwater pump feed water operation of the throughflow boiler is executed, and the liquid conductivity digital signal and dissolved solids concentration data are updated in real time according to the feedwater pump feed water operation. During the operation of the feedwater pump, the boiler water quality may fluctuate due to changes in water volume, so the liquid conductivity and dissolved solids concentration data need to be continuously updated. Assume that the flow rate of the feedwater pump is 500 liters per minute, and as the water flow increases, the conductivity and TDS concentration of the liquid will gradually change. After the feedwater pump is turned on, the system can obtain the conductivity and TDS concentration of the liquid in real time by monitoring the liquid conductivity sensor and dissolved solids concentration sensor in real time. For example, after the feedwater pump has been working for 10 minutes, the liquid conductivity signal changes from 3300μs / cm to 3500μs / cm, and the dissolved solids concentration increases from 1980mg / L to 2100mg / L. Specifically, by updating the liquid conductivity and dissolved solids concentration, the system can adjust the boiler water quality control strategy to ensure that the water quality meets the preset standards. During the real-time data update process, the liquid conductivity and TDS concentration data will be transmitted to the control system for necessary analysis and feedback adjustments. For example, if it detects that the liquid conductivity exceeds a preset threshold, the system can initiate blowdown or adjust the feed water flow to reduce the concentration of dissolved solids in the liquid to avoid problems such as boiler scaling or corrosion.

[0089] Further, as an embodiment of the present invention, refer to Figure 2 As shown, Figure 1 A detailed step flow diagram of step S4 in the embodiment, wherein the continuous sewage discharge liquid conductivity threshold is greater than the continuous sewage discharge start conductivity threshold, and the continuous sewage discharge start conductivity threshold is greater than the continuous sewage discharge stop conductivity threshold, step S4 includes the following steps:

[0090] The execution of the blowdown control operation of the through-flow boiler includes steps S41 to S46, and the water quality blowdown control feedback data analysis is step S47;

[0091] Step S41: When the instantaneous liquid conductivity signal is not less than the preset continuous blowdown start conductivity threshold and the dissolved solids concentration data is not less than the preset dissolved solids concentration threshold, the continuous blowdown control operation of the throughflow boiler is performed;

[0092] In an embodiment of the present invention, when executing the continuous blowdown control operation of the through-flow boiler, it is necessary to make a judgment based on the real-time values ​​of the liquid conductivity signal and the dissolved solids concentration data. When the instantaneous liquid conductivity signal is not less than the preset continuous blowdown start conductivity threshold, and the dissolved solids concentration data is not less than the preset dissolved solids concentration threshold, the continuous blowdown operation is triggered. For example, when feeding water, the dissolved solids concentration data is not less than 1800 mg / L (the preset continuous blowdown start dissolved solids concentration threshold), and the instantaneous liquid conductivity signal is not less than the continuous blowdown start conductivity threshold (continuous blowdown start conductivity threshold K1 = 3000 μs / cm), the continuous blowdown solenoid valve is opened to perform the continuous blowdown control operation.

[0093] Step S42: monitoring and processing the instant liquid conductivity signal and the instant dissolved solids concentration data of continuous sewage discharge according to the continuous sewage discharge control operation to obtain the continuous sewage discharge liquid conductivity signal and the continuous sewage discharge dissolved solids concentration data;

[0094] In an embodiment of the present invention, the real-time liquid conductivity signal and the real-time dissolved solids concentration data in the continuous sewage discharge control operation of the through-flow boiler are continuously monitored, and real-time monitoring and identification updates are performed. The system continuously adjusts the sewage discharge operation according to the real-time monitoring data, and maintains the water quality within a safe range through an automatic control system to ensure that the performance of the boiler equipment is not degraded due to excessive scaling, so as to obtain continuous sewage discharge liquid conductivity signals and continuous sewage discharge dissolved solids concentration data.

[0095] Step S43: performing time series trend analysis on the continuous sewage discharge conductivity signal to generate continuous sewage discharge conductivity trend data;

[0096] In the embodiment of the present invention, time series window data collection is performed on the continuous sewage discharge conductivity signal, and the conductivity trend of the continuous sewage discharge conductivity signal is analyzed to generate continuous sewage discharge conductivity trend data for identifying whether the sewage discharge rate reaches the new pollution rate.

[0097] Step S44: when the continuous sewage discharge conductivity trend data is in an increasing trend, execute step S45; or, when the continuous sewage discharge conductivity trend data is in a decreasing trend, execute step S46;

[0098] In an embodiment of the present invention, when the continuous sewage discharge conductivity trend data is in an increasing trend, that is, conventional continuous sewage discharge cannot control the water quality at a safe water quality level, step S45 is executed; or, when the continuous sewage discharge conductivity trend data is in a decreasing trend, that is, conventional continuous sewage discharge can control the water quality at a safe water quality level, step S46 is executed.

[0099] Step S45: continuously monitoring the continuous sewage discharge liquid conductivity signal until the continuous sewage discharge liquid conductivity signal is not less than a preset continuous sewage discharge liquid conductivity threshold: performing auxiliary sewage discharge control processing on the continuous sewage discharge control operation to obtain an auxiliary sewage discharge control operation; performing first water quality sewage discharge control feedback data analysis according to the auxiliary sewage discharge control operation to generate first water quality sewage discharge control feedback data;

[0100] In the embodiment of the present invention, when continuous sewage discharge is turned on, the conductivity of the boiler water does not decrease until the continuous sewage discharge liquid conductivity signal reaches the continuous sewage discharge liquid conductivity threshold (K1+500)μs / cm or above, and the water supply synchronization of continuous sewage discharge is released. Even if the water supply is stopped, the continuous sewage discharge is still continued for the water supply time (water supply ON-OFF time) to ensure the sewage discharge volume. When the continuous sewage discharge function is in effect, the continuous sewage discharge valve is opened at the same time when water is supplied, and the continuous sewage discharge solenoid valve is closed when the water supply pump stops. When the auxiliary continuous sewage discharge function is activated, the water supply synchronization condition of continuous sewage discharge is released, and the continuous sewage discharge valve is continued to be opened after the water supply stops, and the duration is the water supply time (water supply ON-OFF time), and then the continuous sewage discharge valve is closed. (Because the sewage valve opening time is twice as long as the previous continuous sewage discharge time, the sewage discharge rate can also be doubled). This action is released after the boiler water conductivity drops below the continuous sewage discharge end conductivity threshold (continuous sewage discharge end conductivity threshold K2 = 2500μs / cm), and the normal continuous sewage discharge action is restored. And the first water quality sewage discharge control feedback data is generated after the auxiliary sewage discharge control operation is completed, that is, the liquid conductivity and TDS concentration of the water quality sewage discharged after the sewage discharge is completed are analyzed to generate the first water quality sewage discharge control feedback data.

[0101] Step S46: when the continuous sewage discharge liquid conductivity signal is less than the preset continuous sewage discharge stop conductivity threshold or the continuous sewage discharge dissolved solids concentration data is less than the preset dissolved solids concentration threshold: the continuous sewage discharge control operation is subjected to sewage discharge end control processing to obtain a second sewage discharge end control operation; through the second sewage discharge end control operation, the corresponding continuous sewage discharge liquid conductivity signal and the continuous sewage discharge dissolved solids concentration data are subjected to a second water quality sewage discharge control feedback data analysis to generate the second water quality sewage discharge control feedback data;

[0102] In an embodiment of the present invention, when supplying water, the continuous sewage discharge control will make the dissolved solids concentration data of the continuous sewage discharge less than 1500 mg / L (the preset continuous sewage discharge end dissolved solids concentration threshold) or the continuous sewage discharge liquid conductivity signal is less than the continuous sewage discharge end conductivity threshold (continuous sewage discharge end conductivity threshold K2 = 2500μs / cm), and the continuous sewage discharge control operation will be subjected to sewage discharge end control processing, that is, the sewage discharge valve will be closed to obtain a second sewage discharge end control operation, and the corresponding continuous sewage discharge liquid conductivity signal and the continuous sewage discharge dissolved solids concentration data will be subjected to the second water quality sewage discharge control feedback data analysis through the second sewage discharge end control operation, that is, the liquid conductivity and dissolved solids concentration after the sewage discharge are ended, to generate the second water quality sewage discharge control feedback data.

[0103] Step S47: Perform water quality and pollution control feedback data analysis based on the first water quality and pollution control feedback data or the second water quality and pollution control feedback data to generate water quality and pollution control feedback data.

[0104] In an embodiment of the present invention, water quality discharge control feedback is performed based on the first water quality discharge control feedback data or the second water quality discharge control feedback data corresponding to the corresponding water quality drive control, thereby generating water quality discharge control feedback data.

[0105] Furthermore, the continuous blowdown control operation of the through-flow boiler in step S41 includes the following steps:

[0106] A quantitative blowdown demand assessment is performed based on the real-time liquid conductivity signal and the real-time dissolved solids concentration data to generate quantitative blowdown demand assessment data; an adaptive blowdown throttle orifice adjustment parameter analysis is performed based on the quantitative blowdown demand assessment data to generate adaptive blowdown throttle orifice adjustment parameters; and continuous blowdown control operations of the throughflow boiler are performed based on the adaptive blowdown throttle orifice adjustment parameters.

[0107] In the embodiment of the present invention, in the water quality control process of the through-flow boiler, the primary task of performing the continuous blowdown control operation is to evaluate the demand for blowdown according to the instant liquid conductivity signal and the instant dissolved solids concentration data. First, the instant conductivity signal and dissolved solids concentration data are obtained by the conductivity sensor and dissolved solids sensor installed in the boiler. Assume that the real-time data is as follows: instant liquid conductivity signal: 3300μs / cm, instant dissolved solids concentration data: 1980mg / L. Based on these data, the system will perform a quantitative evaluation process for blowdown demand, and use the quantitative evaluation data for blowdown demand to perform an adaptive blowdown throttle orifice adjustment parameter analysis. According to the blowdown demand and the blowdown capacity of the system, the adjustment range of the throttle orifice is analyzed and determined. For example, if the current blowdown demand is 10 tons / hour and the maximum opening of the throttle orifice is 100%, then according to the analysis results, the adjustment parameter of the throttle orifice is 75%. This parameter ensures that the blowdown rate can effectively reduce the dissolved solids concentration in the boiler water without causing excessive discharge, thereby ensuring the rational use of resources. Based on the adaptive blowdown orifice adjustment parameters, the continuous blowdown control operation of the throughflow boiler is performed. The specific operation is to control the opening of the blowdown valve and adjust the flow of the feedwater pump to match the blowdown process with the real-time water quality monitoring data. Assuming that in this example, the orifice opening is adjusted to 75%, the system will continuously monitor the changes in liquid conductivity and dissolved solids concentration to ensure that the blowdown operation is carried out as expected. If the conductivity or dissolved solids concentration continues to rise, the system will further increase the blowdown according to the adaptive control strategy, such as auxiliary blowdown control operation.

[0108] Furthermore, the auxiliary pollution discharge control process is performed on the continuous pollution discharge control operation in step S45 to obtain the auxiliary pollution discharge control operation, which includes the following steps:

[0109] Perform water supply synchronous stop control on the water supply operation of the water supply pump, and maintain the sewage discharge control on the continuous sewage discharge control operation; mark the auxiliary sewage discharge control operation according to the water supply operation of the water supply synchronous stop control and the continuous sewage discharge control operation of the sewage control to obtain the auxiliary sewage discharge control operation.

[0110] In an embodiment of the present invention, when executing the continuous blowdown control operation of the through-flow boiler, when the blowdown liquid conductivity signal is not lower than the preset continuous blowdown liquid conductivity threshold (K1+500) μs / cm, or the dissolved solids concentration data is not lower than the corresponding dissolved solids concentration, the auxiliary blowdown control processing stage is entered. The goal of this stage is to avoid the boiler water quality from recovering due to premature cessation of blowdown, thereby affecting the safety and efficiency of the boiler. In the specific implementation process, the water supply synchronous stop control is first performed, that is, the water supply operation of the water supply pump is temporarily stopped. This operation is to control the water quality recovery speed and avoid the newly added feed water from affecting the dissolved solids concentration in the boiler. After executing the water supply synchronous stop control, the original continuous blowdown control operation is continued. At this time, the blowdown valve maintains a certain opening and continues to perform the blowdown operation according to the previous blowdown strategy. In order to better manage and control the blowdown process, the system will mark this operation as an auxiliary blowdown control operation. Specifically, the system records the blowdown control status, water supply stop time, blowdown flow rate and other data at each moment, and marks it as an auxiliary blowdown control operation. This mark will help the subsequent system analyze whether there are any links in the blowdown process that need to be adjusted, and ensure that the boiler water quality can be maintained at a safe level before the end of the blowdown control operation. The implementation mark of the auxiliary blowdown control operation helps the system to automatically adjust the blowdown strategy during the review and analysis of the boiler water quality management process. If real-time monitoring finds that the concentration of dissolved solids has further decreased or the water quality has recovered prematurely, the system will automatically adjust the blowdown flow rate in the next control cycle to avoid unnecessary energy consumption due to excessive blowdown.

[0111] Furthermore, the first water quality pollution control feedback data analysis according to the auxiliary pollution control operation in step S45 includes the following steps:

[0112] Monitoring and processing the liquid conductivity and dissolved solids concentration of the auxiliary sewage discharge according to the auxiliary sewage discharge control operation on the continuous sewage discharge liquid conductivity signal and the continuous sewage discharge dissolved solids concentration data to obtain the auxiliary sewage discharge liquid conductivity signal and the auxiliary sewage discharge dissolved solids concentration data;

[0113] When the auxiliary sewage discharge liquid conductivity signal is less than the preset continuous sewage discharge stop conductivity threshold or the auxiliary sewage discharge dissolved solids concentration data is less than the preset dissolved solids concentration threshold, the auxiliary sewage discharge control operation is subjected to sewage discharge termination control processing to obtain the first sewage discharge termination control operation. Through the first sewage discharge termination control operation, the corresponding auxiliary sewage discharge liquid conductivity signal and the auxiliary sewage discharge dissolved solids concentration data are subjected to the first water quality sewage discharge control feedback data analysis to generate the first water quality sewage discharge control feedback data.

[0114] In the embodiment of the present invention, during the execution of the auxiliary sewage discharge control operation, the system first monitors and analyzes the continuous sewage discharge liquid conductivity signal and dissolved solids concentration data in real time. At this time, the liquid conductivity signal and the dissolved solids concentration data are respectively referred to as the auxiliary sewage discharge liquid conductivity signal and the auxiliary sewage discharge dissolved solids concentration data. The acquisition frequency of these data is usually once per second to ensure that the water quality changes in the sewage discharge operation can be reflected in real time. By monitoring these parameters, the system can accurately determine the effectiveness of the auxiliary sewage discharge control operation. When the auxiliary sewage discharge liquid conductivity signal is lower than the preset continuous sewage discharge end conductivity threshold, or the auxiliary sewage discharge dissolved solids concentration data is lower than the preset dissolved solids concentration threshold, the system believes that the sewage discharge operation has achieved the expected effect, and the sewage discharge end control process is triggered at this time. Specifically, when the liquid conductivity signal drops to less than 2500μs / cm (preset continuous sewage discharge end conductivity threshold) or the dissolved solids concentration is lower than 1500mg / L (preset continuous sewage discharge end dissolved solids concentration threshold), the sewage discharge end operation is started. During this process, the opening of the blowdown valve will gradually decrease, and the blowdown operation will eventually stop. After completing the blowdown end control, the system will collect the auxiliary blowdown liquid conductivity signal and dissolved solids concentration data for the first water quality blowdown control feedback data analysis. By analyzing these data, the system can evaluate whether the blowdown process has effectively achieved the purpose of reducing the dissolved solids concentration in the water quality and adjusting the conductivity, and generate the first water quality blowdown control feedback data. This feedback data will serve as a reference for the system to help adjust the water quality blowdown strategy in the future to optimize the entire water quality control process. In addition, the first water quality blowdown control feedback data is also used to analyze the efficiency and optimization space of the blowdown operation. If the system detects that the liquid conductivity or dissolved solids concentration fails to meet the expected requirements, the system will make corresponding adjustments in the subsequent blowdown control strategy, such as increasing the blowdown flow rate or extending the blowdown time, so as to ensure that the boiler water quality is always within the optimal control range.

[0115] This specification provides a water quality control system for a through-flow boiler, which is used to execute the water quality control method for a through-flow boiler as described above. The water quality control system for a through-flow boiler includes:

[0116] A preliminary liquid resistance analysis module is used to monitor and process the liquid sensing signal and temperature sensing signal of the through-flow boiler using the liquid monitoring sensor and temperature monitoring sensor built into the through-flow boiler, and generate a liquid sensing signal and a temperature sensing signal respectively; perform preliminary liquid resistance calculation processing according to the liquid sensing signal, and generate preliminary liquid resistance data;

[0117] A liquid resistance temperature compensation analysis module is used to perform temperature compensation on preliminary liquid resistance data based on a temperature sensing signal to generate liquid resistance data;

[0118] The feedwater analysis module of the through-flow boiler is used to perform the feedwater pump feedwater operation of the through-flow boiler; according to the feedwater pump feedwater operation, the liquid resistance data is subjected to real-time liquid conductivity and dissolved solids concentration analysis and processing, and real-time liquid conductivity signal and real-time dissolved solids concentration data are obtained respectively;

[0119] The blowdown control module of the through-flow boiler is used to perform blowdown control operations of the through-flow boiler according to the real-time liquid conductivity signal and the real-time dissolved solids concentration data; and to analyze water quality blowdown control feedback data according to the blowdown control operations to generate water quality blowdown control feedback data.

[0120] Therefore, the embodiments should be regarded as illustrative and non-restrictive from all points, and the scope of the present invention is limited by the appended claims rather than the above description, and it is therefore intended that all changes falling within the meaning and range of equivalent elements of the application documents are included in the present invention.

[0121] The above description is only a specific embodiment of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but should conform to the widest scope consistent with the principles and novel features invented herein.

Claims

1. A water quality control method for a through-flow boiler, characterized in that: The following steps are involved: Step S1: using the liquid monitoring sensor and the temperature monitoring sensor built into the through-flow boiler to monitor and process the liquid sensing signal and the temperature sensing signal of the through-flow boiler, respectively generating a liquid sensing signal and a temperature sensing signal; performing preliminary liquid resistance calculation processing according to the liquid sensing signal, generating preliminary liquid resistance data; Step S2: performing temperature compensation liquid resistance correction processing on the preliminary liquid resistance data based on the temperature sensing signal to generate liquid resistance data; Step S3: executing a feed water pump water supply operation of the through-flow boiler; performing real-time liquid conductivity and dissolved solid concentration analysis and processing on the liquid resistance data according to the feed water pump water supply operation, and obtaining real-time liquid conductivity signals and real-time dissolved solid concentration data respectively; Step S4: performing a blowdown control operation of the through-flow boiler according to the instant liquid conductivity signal and the instant dissolved solids concentration data; The water quality and pollution discharge control feedback data are analyzed according to the pollution discharge control operation to generate water quality and pollution discharge control feedback data.

2. The water quality control method of a through-flow boiler according to claim 1, characterized in that: Step S1 includes the following steps: Step S11: using the liquid monitoring sensor and the temperature monitoring sensor built into the cross-flow boiler to monitor and process the liquid sensing signal and the temperature sensing signal of the cross-flow boiler, and generating a liquid sensing signal and a temperature sensing signal respectively; Step S12: performing liquid current detection processing on the liquid sensing signal to generate a liquid current signal; Step S13: performing preliminary liquid resistance calculation processing according to the liquid current signal to generate preliminary liquid resistance data.

3. The water quality control method for a through-flow boiler according to claim 1, characterized in that: Step S2 includes the following steps: Step S21: converting the temperature sensing signal into a temperature electric variable signal to generate a temperature electric variable signal; analyzing the boiler temperature data according to the temperature electric variable signal to generate boiler temperature data; Step S22: Acquire historical liquid resistance-thermal correlation data of the through-flow boiler; Step S23: designing a prediction model for the correlation effect of liquid resistance and temperature compensation based on historical liquid resistance-thermal correlation data of the through-flow boiler, and generating a liquid resistance-temperature compensation correlation model; Step S24: using the liquid resistance temperature compensation correlation model to analyze the temperature compensated liquid resistance correction data of the boiler temperature data to generate temperature compensated liquid resistance correction data; Step S25: performing temperature-compensated liquid resistance correction processing on the preliminary liquid resistance data using the temperature-compensated liquid resistance correction data to generate liquid resistance data.

4. The water quality control method for a through-flow boiler according to claim 3, characterized in that: Step S23 includes the following steps: Step S231: performing liquid sample resistance division processing according to historical liquid resistance-thermal correlation data to generate divided liquid sample resistance data; performing liquid sample resistance specificity analysis on the divided liquid sample resistance data to generate liquid sample resistance specificity data; Step S232: performing resistance-specific temperature influence coefficient analysis and processing on historical throughflow boiler liquid resistance-thermal correlation data using liquid sample resistance-specific data to generate resistance-specific temperature influence coefficient; Step S233: performing nonlinear temperature influence characteristic analysis of each specific type of liquid resistance according to the resistance-specific temperature influence coefficient, and generating liquid resistance nonlinear temperature influence characteristic data; Step S234: using the nonlinear temperature influence characteristic data of liquid resistance as radial basis kernel parameters, and using the support vector machine algorithm and radial basis kernel parameters to analyze the correlation influence mapping relationship between liquid resistance and temperature compensation, and generating a liquid resistance temperature compensation correlation model.

5. The water quality control method for a through-flow boiler according to claim 1, characterized in that: Step S3 includes the following steps: Step S31: performing digital signal conversion processing of liquid conductivity according to the liquid resistance data to generate a liquid conductivity signal; Step S32: performing dissolved solid concentration analysis according to the liquid conductivity digital signal to generate dissolved solid concentration data; Step S33: executing the feed water pump water supply operation of the through-flow boiler, and performing real-time update processing on the liquid conductivity digital signal and the dissolved solids concentration data according to the feed water pump water supply operation, to obtain the real-time liquid conductivity signal and the real-time dissolved solids concentration data respectively.

6. The water quality control method of a through-flow boiler according to claim 1, characterized in that: Wherein the continuous sewage discharge liquid conductivity threshold is greater than the continuous sewage discharge start conductivity threshold, and the continuous sewage discharge start conductivity threshold is greater than the continuous sewage discharge stop conductivity threshold, step S4 The following steps are involved: The execution of the blowdown control operation of the through-flow boiler includes steps S41 to S46, and the water quality blowdown control feedback data analysis is step S47; Step S41: When the instantaneous liquid conductivity signal is not less than the preset continuous blowdown start conductivity threshold and the dissolved solids concentration data is not less than the preset dissolved solids concentration threshold, the continuous blowdown control operation of the throughflow boiler is performed; Step S42: monitoring and processing the instant liquid conductivity signal and the instant dissolved solids concentration data of continuous sewage discharge according to the continuous sewage discharge control operation to obtain the continuous sewage discharge liquid conductivity signal and the continuous sewage discharge dissolved solids concentration data; Step S43: performing time series trend analysis on the continuous sewage discharge conductivity signal to generate continuous sewage discharge conductivity trend data; Step S44: when the continuous sewage discharge conductivity trend data is in an increasing trend, execute step S45; or, when the continuous sewage discharge conductivity trend data is in a decreasing trend, execute step S46; Step S45: continuously monitoring the continuous sewage discharge liquid conductivity signal until the continuous sewage discharge liquid conductivity signal is not less than a preset continuous sewage discharge liquid conductivity threshold: performing auxiliary sewage discharge control processing on the continuous sewage discharge control operation to obtain an auxiliary sewage discharge control operation; performing first water quality sewage discharge control feedback data analysis according to the auxiliary sewage discharge control operation to generate first water quality sewage discharge control feedback data; Step S46: when the continuous sewage discharge liquid conductivity signal is less than the preset continuous sewage discharge stop conductivity threshold or the continuous sewage discharge dissolved solids concentration data is less than the preset dissolved solids concentration threshold: perform sewage discharge end control processing on the continuous sewage discharge control operation to obtain a second sewage discharge end control operation; Through the second sewage discharge end control operation, the corresponding continuous sewage discharge liquid conductivity signal and the continuous sewage discharge dissolved solid concentration data are subjected to the second water quality sewage discharge control feedback data analysis to generate the second water quality sewage discharge control feedback data; Step S47: Perform water quality and pollution control feedback data analysis based on the first water quality and pollution control feedback data or the second water quality and pollution control feedback data to generate water quality and pollution control feedback data.

7. The water quality control method for a through-flow boiler according to claim 6, characterized in that: The continuous blowdown control operation of the through-flow boiler in step S41 includes the following steps: A quantitative blowdown demand assessment is performed based on the real-time liquid conductivity signal and the real-time dissolved solids concentration data to generate quantitative blowdown demand assessment data; an adaptive blowdown throttle orifice adjustment parameter analysis is performed based on the quantitative blowdown demand assessment data to generate adaptive blowdown throttle orifice adjustment parameters; and continuous blowdown control operations of the throughflow boiler are performed based on the adaptive blowdown throttle orifice adjustment parameters.

8. The water quality control method for a through-flow boiler according to claim 6, characterized in that: The step S45 of performing auxiliary pollution discharge control processing on the continuous pollution discharge control operation to obtain the auxiliary pollution discharge control operation includes the following steps: Perform water supply synchronous stop control on the water supply operation of the water supply pump, and maintain the sewage discharge control on the continuous sewage discharge control operation; mark the auxiliary sewage discharge control operation according to the water supply operation of the water supply synchronous stop control and the continuous sewage discharge control operation of the sewage control to obtain the auxiliary sewage discharge control operation.

9. The water quality control method of a through-flow boiler according to claim 6, characterized in that: The first water quality pollution control feedback data analysis according to the auxiliary pollution control operation in step S45 includes the following steps: Monitoring and processing the liquid conductivity and dissolved solids concentration of the auxiliary sewage discharge according to the auxiliary sewage discharge control operation on the continuous sewage discharge liquid conductivity signal and the continuous sewage discharge dissolved solids concentration data to obtain the auxiliary sewage discharge liquid conductivity signal and the auxiliary sewage discharge dissolved solids concentration data; When the auxiliary sewage discharge liquid conductivity signal is less than the preset continuous sewage discharge stop conductivity threshold or the auxiliary sewage discharge dissolved solids concentration data is less than the preset dissolved solids concentration threshold, the auxiliary sewage discharge control operation is subjected to sewage discharge termination control processing to obtain the first sewage discharge termination control operation. Through the first sewage discharge termination control operation, the corresponding auxiliary sewage discharge liquid conductivity signal and the auxiliary sewage discharge dissolved solids concentration data are subjected to the first water quality sewage discharge control feedback data analysis to generate the first water quality sewage discharge control feedback data.

10. A water quality control system for a through-flow boiler, characterized in that: For executing the water quality control method of the through-flow boiler according to claim 1, the water quality control system of the through-flow boiler comprises: A preliminary liquid resistance analysis module is used to monitor and process the liquid sensing signal and temperature sensing signal of the through-flow boiler using the liquid monitoring sensor and temperature monitoring sensor built into the through-flow boiler, and generate a liquid sensing signal and a temperature sensing signal respectively; perform preliminary liquid resistance calculation processing according to the liquid sensing signal, and generate preliminary liquid resistance data; A liquid resistance temperature compensation analysis module is used to perform temperature compensation on preliminary liquid resistance data based on a temperature sensing signal to generate liquid resistance data; The feedwater analysis module of the through-flow boiler is used to perform the feedwater pump feedwater operation of the through-flow boiler; according to the feedwater pump feedwater operation, the liquid resistance data is subjected to real-time liquid conductivity and dissolved solids concentration analysis and processing, and real-time liquid conductivity signal and real-time dissolved solids concentration data are obtained respectively; The blowdown control module of the through-flow boiler is used to perform blowdown control operations of the through-flow boiler according to the real-time liquid conductivity signal and the real-time dissolved solids concentration data; and to analyze water quality blowdown control feedback data according to the blowdown control operations to generate water quality blowdown control feedback data.

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