Intelligent micro strong alkali adding system for boiler feed water

Abstract

The invention relates to the technical field of boiler water supply, in particular to an intelligent micro strong alkali adding system for boiler water supply, which comprises a simulation unit for constructing a mathematical model; the acquisition unit is used for acquiring data; a processing unit to process the data; the analysis unit is used for analyzing whether the alkali adding system meets the standard or not, determining a reason for the condition that the alkali adding system does not meet the standard, and generating a corresponding instruction according to the reason; the adjusting unit is used for adjusting corresponding parameters according to the instruction; and the optimization unit is used for reducing the boiler operation load based on the conductivity variance difference value and correcting the boiler operation load based on the condensate water hardness. The control precision of the alkali adding system is effectively improved.

Description

Technical Field

[0001] This invention relates to the field of boiler feedwater technology, and in particular to an intelligent micro-alkali addition system for boiler feedwater. Background Technology

[0002] Alkali addition is a crucial and indispensable core step in boiler water treatment. It achieves corrosion and scale prevention through precise pH adjustment, thereby reducing operating costs and ensuring the continuous and stable operation of the thermal system. However, traditional alkali addition methods for corrosion prevention generally suffer from prominent problems such as low control precision, weak water quality sensing capability, coarse chemical dosing, and delayed corrosion response, severely restricting the safety and economy of boiler system operation. Especially under complex environments with variable loads and fluctuating condensate water quality, delayed dosing pump adjustment, distorted pH measurements, and a lack of coordinated dosing and blowdown strategies can easily lead to localized acidic corrosion or alkaline embrittlement, even causing equipment failure. Furthermore, the strong coupling and interference among multiple water quality parameters such as pH and conductivity further increases the difficulty of accurately judging corrosion status and precisely controlling chemical dosing. Therefore, how to construct an intelligent micro-alkali addition system for boiler feedwater, achieving dynamic adaptive and intelligent optimization control of the dosing process, has become a key technical problem urgently needing to be solved by those skilled in the art.

[0003] Chinese Patent No. CN103553198B discloses a process for enhanced alkali treatment of boiler feedwater in power plants. The system includes an alkali addition stage and an alkali addition and film repair stage. The alkali addition stage involves simultaneous alkali addition at the outlet of the condensate polishing system and the inlet of the feedwater pump in the high-pressure feedwater system, while controlling the pH value of the feedwater and the sodium ion concentration in the main steam. The film repair stage involves reducing the amount of alkali added to the high-pressure feedwater system after a protective film has formed in the feedwater system, ensuring that the added alkali is only used to repair and maintain the protective film, while simultaneously controlling the pH value of the boiler water and the sodium ion concentration in the main steam. This invention provides corrosion protection for the entire thermal system and solves the problem of salt accumulation. However, the above technical solution has the following problems: it does not consider the actual effect of alkali addition under complex environments, nor the reasons for not achieving the expected results, and lacks an optimization and adjustment mechanism. This results in an inability to dynamically adjust the dosing strategy based on real-time water quality response, thus reducing the dynamic adaptability of the dosing system. Summary of the Invention

[0004] To address this, the present invention provides an intelligent micro-alkali addition system for boiler feedwater, which overcomes the shortcomings of existing technologies that fail to consider the actual effects of alkali addition under complex real-world conditions, as well as the reasons for not achieving the expected results and the optimization and adjustment mechanisms. This results in the inability to dynamically adjust the dosing strategy based on real-time water quality response, thereby reducing the dynamic adaptability of the dosing system.

[0005] To achieve the above objectives, the present invention provides an intelligent micro-alkali addition system for boiler feedwater, comprising: Simulation unit, used to construct mathematical models; The data acquisition unit is used to collect data. A processing unit, which is connected to the acquisition unit, is used to process data; An analysis unit, connected to the processing unit, is used to analyze whether the alkali addition system meets the standards, determine the reasons for non-compliance, and generate corresponding instructions based on the reasons. An adjustment unit, which is connected to the analysis unit, adjusts the corresponding parameters according to instructions; An optimization unit, connected to the adjustment unit, is used to reduce the boiler operating load based on the difference in conductivity variance and to correct the boiler operating load based on the condensate hardness.

[0006] Furthermore, the analysis unit is also used to determine whether the alkali addition system meets the standard based on the comparison result of the conductivity variance and the preset conductivity variance, and, if the alkali addition system does not meet the standard, to determine the reason for non-compliance based on the process gain.

[0007] Furthermore, the analysis unit is also used to determine the process gain based on the proportion of recycle water and the conductivity of recycle water, wherein the process gain is positively correlated with the proportion of recycle water and the conductivity of recycle water, respectively.

[0008] Furthermore, the analysis unit is also used to determine the cause of non-compliance with the standard based on the comparison result between the process gain and the preset process gain, which is abnormal alkali addition and the cause is determined based on the dosage efficiency, or abnormal water quality and the target pH value is adjusted based on the deviation coefficient.

[0009] Furthermore, the adjustment unit is also used to determine the reason for non-compliance with the standard based on the comparison result of the dose efficiency and the preset dose efficiency, which is either the presence of drug loss and the issuance of a pump head replacement notification, or the abnormal model parameters and the adjustment of the buffer capacity value.

[0010] Furthermore, the adjustment unit also includes the following steps in responding to a first preset condition to determine whether to repeatedly adjust the buffer capacity value: The dosage efficiency of the alkali addition system is recalculated. If the dosage efficiency is less than or equal to the preset dosage efficiency, the alkali addition system is deemed not to meet the standard and the buffer capacity value is repeatedly adjusted. After each adjustment is completed, it is determined whether the critical adjustment state is met. For the dosage efficiency in the critical adjustment state, the reason for not meeting the standard is that there is a loss of reagent and a pump head replacement notice is issued. The critical state of adjustment is when the number of repeated adjustments reaches the adjustment threshold. The first preset condition is that the buffer capacity value adjustment is completed.

[0011] Furthermore, the adjustment unit is also used to reduce the target pH value based on the deviation coefficient, wherein the reduction in the target pH value is negatively correlated with the deviation coefficient.

[0012] Furthermore, the regulating unit is also used to adjust the opening of the drain valve based on the conductivity of the condensate under a second preset condition; the valve opening adjustment range is positively correlated with the conductivity of the condensate. The second preset condition is that the target pH value adjustment is completed and the alkali addition system does not meet the standard.

[0013] Furthermore, the optimization unit is also used to reduce the boiler operating load based on the difference in conductivity variance under a third preset condition, wherein the reduction in boiler operating load is positively correlated with the difference in conductivity variance. The third preset condition is that the buffer capacity value adjustment is completed or the target pH value adjustment is completed and the alkali addition system does not meet the standard.

[0014] Furthermore, the optimization unit is also used to correct the boiler operating load based on the condensate hardness, and the correction range of the boiler operating load is positively correlated with the condensate hardness.

[0015] Compared with the prior art, the beneficial effects of the present invention are as follows: the present invention, by setting up an analysis unit, an adjustment unit, and an optimization unit, determines whether the alkali addition system meets the standard based on the conductivity variance through the analysis unit, which can complete the determination of whether the alkali addition system is qualified in a timely and efficient manner, effectively realizing real-time monitoring of the alkali addition system. Based on the process gain analysis, the cause of non-compliance is analyzed, and corresponding processing instructions are generated according to the determined cause of non-compliance. Based on the received processing instructions, the relevant parameters of the alkali addition system are re-determined, and the corresponding relevant parameters are adjusted to the corresponding values ​​according to the instructions. While effectively realizing accurate analysis of the alkali addition system, the accuracy of the alkali addition system is effectively improved.

[0016] Furthermore, this invention determines whether the alkali addition system meets the standard by comparing the conductivity variance with the preset conductivity variance, and determines the reason for non-compliance based on process gain when the alkali addition system is determined to be non-compliant. This enables rapid determination of whether the alkali addition system meets the standard, thereby improving the efficiency of determining whether the alkali addition system meets the standard. In turn, when the alkali addition system does not meet the standard, rapid cause analysis is performed, which improves the accuracy and efficiency of determining the cause of non-compliance.

[0017] Furthermore, this invention determines the process gain based on the proportion and conductivity of the return water, avoiding the poor effectiveness of the process gain caused by relying on only a single influencing factor to determine the process gain after the addition of the reagent in the prior art, thereby improving the control accuracy of the alkali addition system.

[0018] Furthermore, by comparing the process gain with the preset process gain, the present invention can quickly determine the cause of non-compliance with the standard, thereby improving the efficiency of determining the cause of non-compliance with the standard and thus improving the control accuracy of the alkali addition system.

[0019] Furthermore, by comparing the dose efficiency with the preset dose efficiency to determine whether the non-compliance is due to drug loss and issuing a pump head replacement notice, or abnormal model parameters and adjusting the buffer capacity value, the present invention can more accurately analyze the reasons for the non-compliance of the alkali addition system based on the dose efficiency, thereby improving the accuracy of determining the reasons for non-compliance and thus improving the control precision of the alkali addition system.

[0020] Furthermore, the present invention determines whether to repeatedly adjust the buffer capacity value under a first preset condition, and determines whether the critical adjustment state is met after each adjustment is completed. For the dose efficiency in the critical adjustment state, it is determined that the reason for non-compliance is that there is a loss of the agent and a pump head replacement notice is issued. This further ensures real-time monitoring of the alkali addition system, avoids the problem of ineffective adjustment, and improves the accuracy of determining the reason for non-compliance, thereby improving the control precision of the alkali addition system.

[0021] Furthermore, this invention determines the target pH value based on the deviation coefficient; thus avoiding the risk of high scaling and steam-water eutrophication caused by high conductivity in boilers. By slowing down the rate of increase in boiler water conductivity, the control accuracy of the alkali addition system is improved, thereby enhancing boiler safety.

[0022] Furthermore, the present invention adjusts the opening of the drain valve based on the conductivity of condensate under a second preset condition, thereby increasing the drain rate to prevent scaling, prioritizing the safety of the boiler body, and thus improving the safety of the boiler.

[0023] Furthermore, by reducing the boiler operating load based on the difference in conductivity variance under a third preset condition, the present invention maintains the boiler operating state in a low-risk condition, avoids unplanned shutdowns, and thus ensures the investigation of the reasons why the subsequent alkali addition system does not meet the standards, thereby improving the safety of the boiler.

[0024] Furthermore, by correcting the boiler operating load based on the hardness of condensate, this invention makes the boiler operating load more reasonable by taking into account the influence of condensate hardness, thereby ensuring the adjustment accuracy of the boiler operating load, improving the accuracy of determining the cause of non-compliance with standards, and thus improving the control accuracy of the alkali addition system. Attached Figure Description

[0025] Figure 1 This is a unit connection diagram of the intelligent micro-alkali addition system for boiler feedwater of the present invention; Figure 2This is a flowchart illustrating the steps of the intelligent method for adding a slightly strong alkali to boiler feedwater according to the present invention. Figure 3 This is a flowchart illustrating the process of determining whether an alkali addition system meets the standard based on the comparison between the conductivity variance and the preset conductivity variance. Figure 4 This is a flowchart illustrating the process gain comparison with a preset process gain used in this invention to determine the reasons for non-compliance with standards. Detailed Implementation

[0026] To make the objectives and advantages of the present invention clearer, the present invention will be further described below with reference to embodiments; it should be understood that the specific embodiments described herein are merely for explaining the present invention and are not intended to limit the present invention.

[0027] Preferred embodiments of the present invention will now be described with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0028] It should be noted that in the description of this invention, the terms "upper", "lower", "left", "right", "inner", "outer", etc., which indicate directions or positional relationships, are based on the directions or positional relationships shown in the accompanying drawings. This is only for the convenience of description and is not intended to indicate or imply that the device or element must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, it should not be construed as a limitation of this invention.

[0029] Furthermore, it should be noted that, in the description of this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0030] Please see Figure 1 The diagram shown is a unit connection diagram of the intelligent micro-alkali addition system for boiler feedwater according to an embodiment of the present invention. The system of this embodiment includes a simulation unit, a data acquisition unit, a processing unit, an analysis unit, a regulation unit, and an optimization unit, wherein: Simulation unit, used to construct mathematical models; The data acquisition unit is used to collect data. A processing unit, which is connected to the acquisition unit, is used to process data; An analysis unit, connected to the processing unit, is used to analyze whether the alkali addition system meets the standards, determine the reasons for non-compliance, and generate corresponding instructions based on the reasons. An adjustment unit, which is connected to the analysis unit, adjusts the corresponding parameters according to instructions; An optimization unit, connected to the adjustment unit, is used to reduce the boiler operating load based on the difference in conductivity variance and to correct the boiler operating load based on the condensate hardness.

[0031] Please see Figure 2 The diagram shows a flowchart of the steps of the intelligent slightly alkaline addition method for boiler feedwater according to an embodiment of the present invention. During operation, the intelligent slightly alkaline addition system for boiler feedwater described in this embodiment of the present invention comprises the following components: a simulation unit for constructing a mathematical model; a data acquisition unit for acquiring data; a processing unit for processing data; an analysis unit for analyzing whether the alkali addition system meets the standards, determining the causes for non-compliance, and generating corresponding instructions based on the causes; an adjustment unit for adjusting the corresponding parameters according to the instructions; and an optimization unit for reducing the boiler operating load based on the conductivity variance difference and correcting the boiler operating load based on the condensate hardness.

[0032] Specifically, the analysis unit described in this embodiment of the invention is also used to determine whether the alkali addition system meets the standard based on the comparison result of the conductivity variance and the preset conductivity variance, and, if the alkali addition system does not meet the standard, to determine the reason for not meeting the standard based on the process gain.

[0033] Specifically, in this embodiment, the preset conductivity variance C0 = 0.06, and the comparison result between the conductivity variance and the preset conductivity variance C0 is as follows: If the conductivity variance is greater than the preset conductivity variance, the alkali addition system is deemed to meet the standard. If the conductivity variance is less than or equal to the preset conductivity variance, the alkali addition system is determined to be non-compliant with the standard, and the reason for non-compliance is determined based on the process gain. The conductivity variance is the variance of the system water conductivity measured within a single monitoring period, wherein the system water conductivity is measured by a conductivity meter arranged on the main circulation pipeline.

[0034] This invention provides a monitoring cycle, and the user can adaptively set the duration of a single monitoring cycle according to actual application needs. It is understood that the higher the user's requirements for the monitoring accuracy of the alkali addition system, the longer the corresponding duration of a single monitoring cycle. This invention provides a value for the duration of the monitoring cycle, with a single monitoring cycle duration of 30 minutes.

[0035] Specifically, the analysis unit described in this embodiment of the invention is also used to determine the process gain based on the proportion of reclaimed water and the conductivity of reclaimed water, wherein the process gain is positively correlated with the proportion of reclaimed water and the conductivity of reclaimed water, respectively.

[0036] Specifically, in this embodiment, process gain = α1 × recycle water ratio + α2 × recycle water conductivity / preset recycle water conductivity; where α1 is the first weighting coefficient, α2 is the second weighting coefficient, and α1 + α2 = 1. The values ​​of α1 and α2 can be adaptively set by the user according to actual application needs. It can be understood that if the recycle water ratio has a greater impact on the process gain, then the value of α1 is larger and the value of α2 is smaller. This embodiment of the invention provides a value of α1 and α2, where α1 = 0.6 and α2 = 0.4.

[0037] Flow meters are installed on the condensate return pipe and the main outlet channel of the water pump for real-time measurement. For a single monitoring cycle, the return water percentage = condensate return water flow rate / total boiler feedwater flow rate. The preset return water conductivity value can be adaptively set by the user according to actual application needs. This invention provides a method for determining the preset return water conductivity value by extracting the return water conductivity from historical records that meet user needs and recording the average return water conductivity value as the preset return water conductivity value. The preset return water conductivity value is F0 = 7 μs / cm.

[0038] Specifically, the analysis unit described in this embodiment of the invention is also used to determine the reason for non-compliance with the standard based on the comparison result between the process gain and the preset process gain, that the alkali addition is abnormal and to determine the reason based on the dosage efficiency, or that the water quality is abnormal and to adjust the target pH based on the deviation coefficient.

[0039] Specifically, in this embodiment, the preset process gain S0 = 0.455, and the comparison result between the process gain and the preset process gain is as follows: If the process gain is greater than the preset process gain, the reason for non-compliance with the standard is determined to be abnormal alkali addition, and the cause is determined based on the dosage efficiency. If the process gain is less than or equal to the preset process gain, the reason for non-compliance with the standard is determined to be water quality abnormality, and the target pH is adjusted based on the deviation coefficient.

[0040] Specifically, the adjustment unit described in this embodiment of the invention is also used to determine, based on the comparison result of the dose efficiency and the preset dose efficiency, the reason for non-compliance with the standard is that there is drug loss and issue a pump head replacement notification, or that the model parameters are abnormal and adjust the buffer capacity value.

[0041] Specifically, in this embodiment, the preset dose efficiency H0=1, and the comparison results between the dose efficiency and the preset dose efficiency are as follows: If the dosage efficiency is greater than the preset dosage efficiency, the reason for non-compliance with the standard is determined to be the presence of drug loss, and a pump head replacement notice will be issued. If the dose efficiency is less than or equal to the preset dose efficiency, the reason for non-compliance with the standard is determined to be abnormal model parameters, and the buffer capacity value is adjusted.

[0042] The dosage efficiency = theoretical dosage of drug / actual dosage of drug consumed; The value of the preset dose efficiency is not limited to this, and those skilled in the art can make adaptive adjustments to the value as needed.

[0043] Specifically, the adjustment unit described in this embodiment of the invention is further configured to determine whether to repeatedly adjust the buffer capacity value in response to a first preset condition, including: The dosage efficiency of the alkali addition system is recalculated. If the dosage efficiency is less than or equal to the preset dosage efficiency, the alkali addition system is deemed not to meet the standard and the buffer capacity value is repeatedly adjusted. After each adjustment is completed, it is determined whether the critical adjustment state is met. For the dosage efficiency in the critical adjustment state, the reason for not meeting the standard is that there is a loss of reagent and a pump head replacement notice is issued. The critical state of adjustment is when the number of repeated adjustments reaches the adjustment threshold. The first preset condition is that the buffer capacity value adjustment is completed.

[0044] Specifically, in this embodiment, adjusting the threshold N0=5 and determining whether to repeatedly adjust the buffer capacity value based on the conductivity variance includes: Retest the variance of conductivity after adjustment and compare it with the preset variance C0; If the conductivity variance is greater than the preset conductivity variance C0, the alkali addition system is deemed to meet the standard. If the conductivity variance is less than or equal to the preset conductivity variance C0, the alkali addition system is determined to be non-compliant with the standard, and the buffer capacity value is repeatedly adjusted. The process of determining whether the critical adjustment state is met after adjustment is completed is as follows: If the number of adjustments N is greater than or equal to the adjustment threshold N0 and the variance of the conductivity after adjustment is less than or equal to the preset conductivity variance, then the reason for non-compliance with the standard is determined to be that there is a loss of the agent and a pump head replacement notice is issued. The value of the adjustment threshold is not limited to this, and those skilled in the art can adjust the value according to actual needs.

[0045] Buffer capacity = (Δ dosage) / (ΔpH × feedwater flow rate); ΔpH: pH change; Feedwater flow rate: m³ / h Specifically, the adjustment unit described in this embodiment of the invention is also used to determine a target pH value based on a deviation coefficient, wherein the target pH value and the deviation coefficient are negatively correlated.

[0046] Specifically, in this embodiment of the invention, the deviation coefficient k = (actual conductivity - standard conductivity) / (maximum safe conductivity - standard conductivity); the new target pH setting value = target pH value - Δph max × k; Δph max is the maximum allowable pH reduction range, Δph max = target pH value - minimum pH value in normal operating range, wherein the pH corresponding to the normal operating range in this invention is 8.8-9.3.

[0047] The standard conductivity value can be adaptively set by the user according to the actual application requirements. It is understood that the present invention provides a method for determining the standard conductivity value, which extracts the conductivity from the historical records that meet the user's needs, removes outliers, and records the average conductivity after removing outliers as the standard conductivity.

[0048] Specifically, the adjustment unit described in this embodiment of the invention is further used to adjust the opening degree of the drain valve based on the conductivity of condensate water under a second preset condition; the adjustment range of the drain valve opening degree is positively correlated with the conductivity of condensate water. The second preset condition is that the target pH value adjustment is completed and the alkali addition system does not meet the standard.

[0049] Specifically, in this embodiment, if the conductivity of the condensate is greater than the second preset conductivity ΔQ2 set in the analysis unit, the adjustment unit increases the opening of the drain valve to 1.36 times the initial drain valve opening. In this embodiment, the second preset conductivity ΔQ2 = 10 μS / cm. If the conductivity of the condensate is less than or equal to the second preset condensate conductivity ΔQ2 set in the analysis unit and greater than the first preset condensate conductivity ΔQ1 set in the analysis unit, the adjustment unit increases the opening of the drain valve to 1.18 times the initial drain valve opening. In this embodiment, the first preset condensate conductivity ΔQ1 = 2 μS / cm. If the conductivity of the condensate is less than or equal to the first preset conductivity ΔQ1 set in the analysis unit, the adjustment unit will increase the opening of the drain valve to 1.03 times the initial opening of the drain valve. The values ​​of the first preset condensate conductivity, the second preset condensate conductivity, and the increase in the opening degree of the drain valve are not limited to these. Those skilled in the art can adjust these values ​​according to actual needs.

[0050] The user can adaptively set the initial drain valve opening value according to the actual application requirements. It can be understood that the higher the pollutant content in the actual boiler water, the higher the initial drain valve opening value. This invention provides a value for the initial drain valve opening value, in which the initial drain valve opening value P=15%.

[0051] Specifically, the optimization unit described in this embodiment of the invention is also used to reduce the boiler operating load based on the difference in conductivity variance under a third preset condition, wherein the reduction in boiler operating load is positively correlated with the difference in conductivity variance. The third preset condition is that the buffer capacity value adjustment is completed or the target pH value adjustment is completed and the alkali addition system does not meet the standard.

[0052] Conductivity variance difference = |Conductivity variance - Preset conductivity variance|; Specifically, in this embodiment, if the conductivity variance difference value is greater than the second preset conductivity variance difference value △R2 set in the analysis unit, the adjustment unit reduces the boiler operating load to 0.83 of the initial boiler operating load. In this embodiment, the second preset conductivity variance difference value △R2 = 0.06. If the conductivity variance difference is less than or equal to the second preset conductivity variance difference value ΔR2 set in the analysis unit and greater than the first preset conductivity variance difference value ΔR1 set in the analysis unit, the adjustment unit reduces the boiler operating load to 0.89 of the initial boiler operating load. In this embodiment, the first preset conductivity variance difference value ΔR1 = 0.04. If the conductivity variance difference is less than or equal to the first preset conductivity variance difference ΔR1 set in the analysis unit, the adjustment unit will reduce the boiler operating load to 0.915 of the initial boiler operating load; The values ​​of the first preset conductivity variance difference, the second preset conductivity variance difference, and the reduction in boiler operating load are not limited to these. Those skilled in the art can adjust these values ​​according to actual needs.

[0053] Initial boiler operating load Specifically, the optimization unit described in this embodiment of the invention is also used to correct the boiler operating load based on the condensate hardness, wherein the correction range of the boiler operating load is positively correlated with the condensate hardness.

[0054] Specifically, in this embodiment, if the hardness of the condensate is greater than the second preset condensate hardness ΔU2 set in the analysis unit, the adjustment unit reduces the boiler operating load to 0.95 of the adjusted boiler operating load. In this embodiment, the second preset condensate hardness ΔU2 = 5 μmol / L. If the condensate hardness is less than or equal to the second preset condensate hardness ΔU2 set in the analysis unit and greater than the first preset condensate hardness ΔU1 set in the analysis unit, the adjustment unit reduces the boiler operating load to 0.91 of the adjusted boiler operating load. In this embodiment, the first preset condensate hardness ΔU1 = 3.6 μmol / L. If the condensate hardness is less than or equal to the first preset condensate hardness △U1 set in the analysis unit, the adjustment unit will reduce the boiler operating load to 0.893 of the adjusted boiler operating load; The values ​​of the first preset condensate hardness, the second preset condensate hardness, and the reduction rate of boiler operating load are not limited to these, and those skilled in the art can adjust these values ​​according to actual needs.

[0055] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

Claims

1. A smart micro-alkali addition system for boiler feedwater, characterized in that, include: Simulation unit, used to construct mathematical models; The data acquisition unit is used to collect data. A processing unit, which is connected to the acquisition unit, is used to process data; An analysis unit, connected to the processing unit, is used to analyze whether the alkali addition system meets the standards, determine the reasons for non-compliance, and generate corresponding instructions based on the reasons. An adjustment unit, which is connected to the analysis unit, adjusts the corresponding parameters according to instructions; An optimization unit, connected to the adjustment unit, is used to reduce the boiler operating load based on the difference in conductivity variance and to correct the boiler operating load based on the condensate hardness.

2. The intelligent micro-alkali addition system for boiler feedwater according to claim 1, characterized in that, The analysis unit is also used to determine whether the alkali addition system meets the standard based on the comparison result of the conductivity variance and the preset conductivity variance, and, if the alkali addition system does not meet the standard, to determine the reason for non-compliance based on the process gain.

3. The intelligent micro-alkali addition system for boiler feedwater according to claim 2, characterized in that, The analysis unit is also used to determine the process gain based on the recycle water ratio and the recycle water conductivity, wherein the process gain is positively correlated with the recycle water ratio and the recycle water conductivity, respectively.

4. The intelligent micro-alkali addition system for boiler feedwater according to claim 2, characterized in that, The analysis unit is also used to determine the cause of non-compliance with the standard based on the comparison result between the process gain and the preset process gain, such as abnormal alkali addition and the cause based on the dosage efficiency, or abnormal water quality and the target pH value based on the deviation coefficient.

5. The intelligent micro-alkali addition system for boiler feedwater according to claim 4, characterized in that, The adjustment unit is also used to determine the reason for non-compliance with the standard based on the comparison result of the dose efficiency and the preset dose efficiency, which is either the presence of drug loss and to issue a pump head replacement notice, or the abnormal model parameters and to adjust the buffer capacity value.

6. The intelligent micro-alkali addition system for boiler feedwater according to claim 5, characterized in that, The adjustment unit is also used to determine whether to repeatedly adjust the buffer capacity value in response to a first preset condition, including: The dosage efficiency of the alkali addition system is recalculated. If the dosage efficiency is less than or equal to the preset dosage efficiency, the alkali addition system is deemed not to meet the standard and the buffer capacity value is repeatedly adjusted. After each adjustment is completed, it is determined whether the critical adjustment state is met. For the dosage efficiency in the critical adjustment state, the reason for not meeting the standard is that there is a loss of reagent and a pump head replacement notice is issued. The critical state of adjustment is when the number of repeated adjustments reaches the adjustment threshold. The first preset condition is that the buffer capacity value adjustment is completed.

7. The intelligent micro-alkali addition system for boiler feedwater according to claim 4, characterized in that, The adjustment unit is also used to determine a target pH value based on a deviation coefficient, wherein the target pH value is negatively correlated with the deviation coefficient.

8. The intelligent micro-alkali addition system for boiler feedwater according to claim 7, characterized in that, The regulating unit is also used to adjust the opening of the drain valve based on the conductivity of condensate water under a second preset condition; the valve opening adjustment range is positively correlated with the conductivity of condensate water. The second preset condition is that the target pH value adjustment is completed and the alkali addition system does not meet the standard.

9. The intelligent micro-alkali addition system for boiler feedwater according to claim 8, characterized in that, The optimization unit is also used to reduce the boiler operating load based on the difference in conductivity variance under a third preset condition, wherein the reduction in boiler operating load is positively correlated with the difference in conductivity variance. The third preset condition is that the buffer capacity value adjustment is completed or the target pH value adjustment is completed and the alkali addition system does not meet the standard.

10. The intelligent micro-alkali addition system for boiler feedwater according to claim 9, characterized in that, The optimization unit is also used to correct the boiler operating load based on the condensate hardness, and the correction range of the boiler operating load is positively correlated with the condensate hardness.

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