CN111033253A - Water quality diagnosis system, power station, and water quality diagnosis method - Google Patents
Water quality diagnosis system, power station, and water quality diagnosis method Download PDFInfo
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- CN111033253A CN111033253A CN201880054236.XA CN201880054236A CN111033253A CN 111033253 A CN111033253 A CN 111033253A CN 201880054236 A CN201880054236 A CN 201880054236A CN 111033253 A CN111033253 A CN 111033253A
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F01—MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
- F01K—STEAM ENGINE PLANTS; STEAM ACCUMULATORS; ENGINE PLANTS NOT OTHERWISE PROVIDED FOR; ENGINES USING SPECIAL WORKING FLUIDS OR CYCLES
- F01K11/00—Plants characterised by the engines being structurally combined with boilers or condensers
- F01K11/02—Plants characterised by the engines being structurally combined with boilers or condensers the engines being turbines
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Abstract
The purpose is to provide a water quality diagnosis system, a power station, and a water quality diagnosis method, which can more accurately and uniformly diagnose the degree of water quality abnormality. The water quality diagnosis system is provided in a power station, and is provided with: a conductivity measuring unit (3) which is provided in a water circulation system (1) in a power station and measures the conductivity of circulating water; a pH measuring unit (4) which is provided in the water circulation system (1) and measures the pH value of the circulating water; and a control device (5) for diagnosing the degree of abnormality of the water quality, the control device (5) comprising: a storage unit that stores a reference value based on the correlation between the pH value and the conductivity in the water circulation system (1), a plurality of levels that are preset and that indicate the degree of water quality abnormality in the water circulation system (1), and ranges of deviation from the reference value that correspond to each of the plurality of levels; and a grade determination unit for determining the grade of the measurement result based on the measurement results of the conductivity measurement unit (3) and the pH measurement unit (4) and the deviation range stored in the storage unit.
Description
Technical Field
The invention relates to a water quality diagnosis system, a power station and a water quality diagnosis method.
Background
In a power plant, in order to suppress corrosion of metal materials containing iron, copper, and the like, such as structures and pipes constituting a water circulation system including a boiler and a turbine, dissolved oxygen in water flowing into the water circulation system is kept as zero as possible, and weak alkalinity is maintained by using ammonia or the like. The water treatment to which ammonia or the like is added is performed when water is sent from a condensation system in the water circulation system to the water supply system.
Since an abnormality in water quality (for example, a decrease in pH) in a water circulation system causes corrosion of metal materials constituting a structure or the like of the water circulation system, water quality diagnosis is periodically performed in a power plant. In general, in water quality diagnosis in a power plant, a water quality diagnostician periodically reads a value of an instrument, manually analyzes the read value, and compares the read value with a range of a management reference value to confirm temporal changes, thereby determining whether the water quality is acceptable. Further, the measured values and the analyzed values may change due to the contamination of impurities or foreign substances, and there may be variations in the measured values and the analyzed values due to the overlapping of various factors. Therefore, in the diagnosis of water quality abnormality, professional knowledge is required, and individual differences in judgment are included, and it is difficult to judge water quality abnormality in a short time.
Patent document 1 describes that a phenomenon (such as monitoring equipment data) occurring in the past is accumulated in a database system, and when a certain phenomenon occurs, data accumulated in the database system is referred to.
Documents of the prior art
Patent document
Patent document 1: japanese patent laid-open publication No. 2003-288114
Disclosure of Invention
Problems to be solved by the invention
However, it is known that it is not sufficient to perform water quality diagnosis in each measurement and analysis item as in the conventional art, in order to more accurately determine the water quality in the power plant. On the other hand, when a water quality abnormality is overlooked, there is a concern that corrosion or the like may occur in the water circulation system, which may cause a serious problem such as leakage of the boiler evaporation tube or a decrease in the turbine function, and therefore, it is desirable to be able to accurately determine the tendency of abnormality of the measured value or the analyzed value of the water quality, or the like, even when the water quality abnormality is determined.
For example, the pH value and the conductivity of water as independent measured values have a correlation based on the ammonia concentration. That is, the following characteristics were used to find a water quality evaluation method: even if the conductivity is lowered by an intentional operation for adjusting the water quality, if the pH value is also changed in accordance with the correlation, the water quality is not abnormal (contains no harmful impurities). That is, if the pH and the conductivity are not deviated from the reference values based on the correlation calculated in advance, it is estimated that there is no contamination of other impurities or the like, and the water quality is not problematic. From this, it was found that, in order to judge the water quality more accurately and uniformly, the diagnosis of the water quality abnormality can be performed in consideration of the correlation of the measurement items.
Here, in order to recognize the tendency of water quality abnormality and the like at a glance, it is necessary to accurately diagnose the degree of water quality abnormality. When the water quality abnormality is diagnosed in consideration of the correlation of the measurement items, the degree of the water quality abnormality is accurately and precisely diagnosed, so that the deterioration of the water quality can be recognized in advance, and the influence on the power plant can be minimized.
The present disclosure has been made in view of the above circumstances, and an object thereof is to provide a water quality diagnosis system, a power plant, and a water quality diagnosis method that can more accurately and precisely diagnose the degree of water quality abnormality.
Means for solving the problems
Some embodiments of the present invention are directed to a water quality diagnosis system including: a conductivity measuring unit provided in a water circulation system in the power station and measuring the conductivity of the circulating water; a pH measuring unit provided in the water circulation system for measuring a pH value of the circulated water; and a control device for diagnosing the degree of abnormality of the water quality, the control device comprising: a storage unit that stores a reference value based on a correlation between a pH value and an electrical conductivity in the water circulation system, a plurality of levels that are preset and that indicate degrees of water quality abnormality in the water circulation system, and ranges of deviation from the reference value that correspond to the plurality of levels, respectively; and a grade determination unit that determines the grade of the measurement result based on the measurement results of the conductivity measurement unit and the pH measurement unit and the deviation range stored in the storage unit.
According to the above configuration, since the degree of abnormality in water quality is determined based on the deviation range of the measurement results of the conductivity measuring unit and the pH measuring unit from the reference value based on the correlation between pH and conductivity, even if the water quality is abnormal, which cannot be accurately determined only by pH or only by conductivity, it can be determined efficiently. That is, even when the pH value is changed little and no abnormality is observed, which is usually determined with priority to whether or not the water quality is in the reference range of the water quality abnormality, the presence or absence of the water quality abnormality can be effectively determined by combining the change in conductivity which sensitively reacts to the water quality. Since the measurement results of the conductivity measuring unit and the pH measuring unit are classified into a plurality of classes indicating the degree of water quality abnormality, it is possible to accurately and accurately determine the water quality abnormality without depending on the skill of the measurer. Since the abnormality of water quality can be accurately determined, the influence of deterioration of water quality on the entire power plant (for example, leakage of boiler evaporation tubes, deterioration of turbine function, etc.) can be effectively prevented.
In the water quality diagnosis system, the control device may include an integrated determination unit that comprehensively determines the degree of water quality abnormality in the water circulation system based on a frequency distribution state of the plurality of levels in the determination result, using the determination result by the level determination unit corresponding to each of the plurality of measurement results.
According to the above configuration, since the degree of abnormality of the water quality is comprehensively determined based on the frequency distribution state with respect to the plurality of steps, even if the measurement results of the resistivity are not uniform due to, for example, a difference in concentration of water flowing through the water circulation system (for example, a difference in ammonia concentration) with respect to the measurement results of the conductivity measurement unit and the pH measurement unit determined during a predetermined period, if the frequency distribution of the respective steps is in a state where the frequency of the steps within the error range is large, comprehensive determination is performed without a problem and thus high-accuracy comprehensive determination can be performed.
In the water quality diagnosis system, the control device may include a cause estimation unit that estimates a cause of the comprehensive determination result by determining whether or not a predetermined condition is satisfied for a value different from the values of the conductivity measurement unit and the pH measurement unit used for the comprehensive determination, based on the comprehensive determination result of the comprehensive determination unit.
According to the above-described configuration, whether or not the predetermined condition is satisfied is determined for the value different from the value used in the integrated judgment result, and it is possible to automatically estimate the cause that may become the integrated judgment result determined by the integrated judgment unit. Therefore, in particular, even when the comprehensive determination result indicates a high water quality abnormality, the cause can be accurately and quickly estimated, and thus an abnormality of the equipment can be detected early.
In the water quality diagnostic system, the system may further include at least 1 acid conductivity measuring unit provided in the water circulation system and measuring acid conductivity of the circulated water, and the cause estimating unit may determine whether or not the measurement result from the acid conductivity measuring unit is equal to or greater than a predetermined threshold value when the integrated determination result indicates a high water quality abnormality, and may estimate the seawater leakage as the cause of the integrated determination result when the determination result is affirmative.
According to the above configuration, even when the comprehensive determination result indicates a high water quality abnormality, the cause of the water quality abnormality can be quickly estimated by automatically estimating the cause based on whether or not the measurement result of the acid conductivity measurement unit is within the predetermined threshold value.
In the water quality diagnosis system, the water quality diagnosis apparatus may further include a display unit that displays the integrated determination result and the cause corresponding to the integrated determination result estimated by the cause estimation unit.
With the above configuration, the operator of the power plant can easily recognize the comprehensive determination result and the cause thereof, and thus can early detect and deal with the abnormality of the equipment.
In the water quality diagnosis system, the control device may include a simulation device, the communication unit may transmit the cause estimated from the comprehensive determination result and the measurement result associated with the water quality abnormality to the simulation device, and the simulation device may estimate a leakage amount and a leakage time based on information acquired by the communication unit and based on a simulation model and/or accumulated past data, and may derive a leakage pollution range of the power plant.
According to the structure, the operator of the power station can easily recognize the pollution range. In the power plant, it is possible to rapidly propose a plan for adding measures such as survey contents, treatment contents, and schedules in the future in response to the occurrence of water quality abnormality, and to recover the soundness of the power plant at an early stage and appropriately.
Some embodiments of the present invention are a power plant including a boiler, a steam turbine, a condenser, and the water quality diagnosis system.
Some embodiments of the present invention are directed to a water quality diagnostic method, which is a water quality diagnostic method for a water quality diagnostic system, the water quality diagnostic system including: a conductivity measuring unit and a pH measuring unit provided in a water circulation system in a power plant; and a control device having a storage unit that stores a reference value based on a correlation between a pH value and an electrical conductivity in the water circulation system, a plurality of levels that are preset and indicate degrees of water quality abnormality in the water circulation system, and ranges of deviation from the reference value corresponding to the plurality of levels, respectively, wherein the water quality diagnosis method includes: a conductivity measuring step of measuring the conductivity of the circulating water; a pH measurement step of measuring the pH value of the circulating water; and a grade determination step of determining a grade of the measurement result based on the measurement results of the conductivity measurement step and the pH measurement step and the deviation range stored in the storage unit.
Effects of the invention
According to the present invention, the effect of more accurately and uniformly diagnosing the degree of water quality abnormality is achieved.
Drawings
Fig. 1 is a diagram showing a schematic configuration of a water circulation system in a power plant including a water quality diagnosis system according to a first embodiment.
Fig. 2 is a functional block diagram showing functions of the control device in the water quality diagnosis system according to the first embodiment.
Fig. 3 is a diagram showing information stored in the storage unit in the water quality diagnosis system according to the first embodiment.
Fig. 4 is a graph showing a correlation between the pH value and the conductivity in the water quality diagnosis system according to the first embodiment.
Fig. 5 is a diagram showing a relationship between comprehensive judgment and a grade in the water quality diagnosis system according to the first embodiment.
Fig. 6 is a flowchart showing the level determination process in the water quality diagnosis system according to the first embodiment.
Fig. 7 is a diagram showing a schematic configuration of a water circulation system in a power plant including the water quality diagnosis system according to the second embodiment.
Fig. 8 is a functional block diagram showing functions of a control device in the water quality diagnosis system according to the second embodiment.
Fig. 9 is a diagram showing causes of water quality abnormality and confirmation items in the water quality diagnosis system of the second embodiment.
Fig. 10 is a diagram showing an example of notification of the result of comprehensive diagnosis and the cause of water quality abnormality in the water quality diagnosis system according to the second embodiment.
Detailed Description
[ first embodiment ]
Hereinafter, a water quality diagnosis system, a power plant, and a water quality diagnosis method according to some embodiments will be described with reference to the drawings.
Fig. 1 is a diagram showing a schematic configuration of a water circulation system 1 in a power plant including a water quality diagnosis system according to a first embodiment. As shown in fig. 1, the water circulation system 1 of the present embodiment includes a steam system, a condensation system, a water supply system, a conductivity measuring unit 3, a pH measuring unit 4, and a control device 5 as main components.
The steam system includes a boiler 6 and a turbine 7 (steam turbine), the condensing system includes a condenser 8, a condensing pump 9, a condensate demineralizer 10, and a steam-sealed steam condenser 11, and the water supply system includes a low-pressure heater 12, a deaerator 13, a water supply pump 14, and a high-pressure heater 15. In the water circulation system 1 of the present embodiment, a boiler 6, a turbine 7, a condenser 8, a condensate pump 9, a condensate demineralizer 10, a steam-sealed steam condenser 11, a low-pressure heater 12, a deaerator 13, a water feed pump 14, and a high-pressure heater 15 are connected in this order, and water (and steam) circulates through the respective apparatuses.
In the steam system, feed water supplied from the feed water system is converted into steam by heat exchange in the boiler 6, and the steam drives the turbine 7 to rotate. Specifically, first, the boiler 6 generates high-temperature and high-pressure steam by evaporating high-pressure feed water supplied from a feed water system through heat exchange with combustion heat of fuel. The boiler 6 can be applied to any of the cross flow system, the natural circulation system, the forced circulation system, and the like. Then, the high-temperature and high-pressure steam is supplied to the turbine 7 to rotate the turbine blades. In the turbine 7, the thermal energy of the steam supplied from the boiler 6 is converted into mechanical energy by a high-pressure turbine or a low-pressure turbine. Then, the rotational torque generated by the action of the steam on the turbine blades is used to drive a generator or the like, not shown, to rotate, thereby generating electric power. The steam that has finished performing work in the turbine 7 is supplied to a condenser 8 in the condensing system.
In the condensation system, the steam whose work has been completed in the turbine 7 can be condensed so as to be supplied again to the boiler 6 and the turbine 7. Specifically, in the condenser 8, cooling water is caused to flow into a cooling pipe provided in the condenser 8, and heat is exchanged between the exhaust steam from the turbine 7 and the cooling water flowing through the cooling pipe, thereby condensing the exhaust steam. The condensed water is then sent to the condensate demineralizer 10 by the condensate pump 9. In the condensate demineralizer 10, water condensed by the condenser 8 is purified. The condensed water contains trace amounts of impurities such as metal ions and chlorine generated in the system, and these impurities may cause troubles such as corrosion of the heat transfer tubes constituting the boiler 6. Therefore, in the condensate demineralization apparatus 10, the demineralization treatment is performed using an anion resin or a cation resin. The seal steam used in the shaft seal portion of the turbine 7 or the like is condensed by the seal steam condenser 11. When the treatment of the condensing system is completed, the condensed water is supplied as the feed water to the water supply system.
In the water supply system, the feed water supplied from the condensing system is brought into a high-temperature and high-pressure state and supplied to the evaporation system of the boiler 6. The feed water supplied from the condensing system is heated by the low pressure heater 12 to, for example, about 150 ℃. The heated feed water is supplied to the deaerator 13, and non-condensable gases such as oxygen and carbon dioxide dissolved in the feed water are removed. The degassed feed water is pumped by a feed pump 14, and the feed water in a high-pressure state is further heated by a high-pressure heater 15 to, for example, about 250 ℃ to be supplied to the boiler 6 in a non-evaporative state.
In the water circulation system 1, the above-described circulation is repeated. The structure of the water circulation system 1 is not limited to the above-described structure, and can be applied to all the embodiments.
The conductivity measuring unit 3 is provided in the water circulation system 1 and measures the conductivity of the circulating water. Specifically, the conductivity measuring unit 3 is disposed upstream of the boiler 6 in the flow of the feed water. The conductivity of the feed water supplied to the boiler 6 is measured by the conductivity measuring unit 3, whereby the concentration of the water treatment chemical (for pH adjustment) in the feed water can be monitored. Conductivity (specific conductivity): SC) may also be collectively referred to as SC in a manner distinguished from the acid conductivity described later. The conductivity SC is equivalent to 1cm in cross-sectional area2When the electrodes are opposed to each other at a distance of 1cm, the resistance [ omega. cm ] of the solution between the electrodes]The reciprocal of (c). That is, in the conductivity measuring unit 3, electrodes having a predetermined area are disposed apart from each other by a predetermined distance, and a voltage is applied between the electrodes in a state in which the feed water flows therebetween to detect a current flowing between the electrodes, thereby calculating the conductivity.
The pH measuring unit 4 is provided in the water circulation system 1 and measures the pH value of the circulating water. Specifically, the pH measuring unit 4 is disposed upstream of the boiler 6 with respect to the feed water flow. In general, the feed water is maintained at a weak alkaline (e.g., about pH9 to 10) to prevent corrosion of the respective facilities. By measuring the pH value of the feed water supplied to the boiler 6 by the pH measuring unit 4, it is possible to monitor whether the feed water is maintained at a weak alkaline.
In the present embodiment, the conductivity measuring unit 3 and the pH measuring unit 4 are disposed upstream of the boiler 6 with respect to the feed water flow, in order to suppress corrosion of the boiler 6 and the turbine 7, particularly, to diagnose the quality of the feed water supplied to the boiler 6 and the turbine 7. However, the positions of the conductivity measuring unit 3 and the pH measuring unit 4 are not limited to the above-described positions, and can be changed and added as appropriate.
The controller 5 detects the degree of abnormality in water quality using the measurement results of the conductivity measuring unit 3 and the pH measuring unit 4.
The control device 5 includes a Memory such as a CPU (central processing unit) and a RAM (Random Access Memory), a computer-readable recording medium, and the like, which are not shown. The procedure of a series of processes for realizing various functions described later is recorded in a recording medium or the like in the form of a program, and the CPU reads the program from a RAM or the like and executes processing and arithmetic processing of information, thereby realizing various functions described later.
Fig. 2 is a functional block diagram showing functions provided in the control device 5. As shown in fig. 2, the control device 5 includes a storage unit 21, a level determination unit 22, and an integrated determination unit 23.
The storage unit 21 stores a plurality of levels set in advance indicating the degree of water quality abnormality in the water circulation system 1, a reference value based on the correlation between the pH value and the conductivity in the water circulation system 1, and ranges of deviation from the reference value corresponding to each of the plurality of levels. Fig. 3 shows an example of the information stored in the storage unit 21 according to the present embodiment. In the present embodiment, a case will be described in which the levels are divided into, for example, 5 stages (levels a to e) in accordance with the range of deviation from the reference value in consideration of the measurement error of each measurement value, but the number of levels can be appropriately changed.
The grade is a preset grade indicating the degree of abnormality in water quality, and is classified into, for example, grades a to e as shown in fig. 3, and is determined for each measured value. In the present embodiment, the level a is the level at which the degree of water quality abnormality is the lowest, and as shown in fig. 3, it indicates that the current operating state can be maintained without any problem, and that the level a falls within a measurement error range, for example. The level b is the level with the second lowest degree of abnormality of water quality, and indicates that some abnormal values are observed in some cases although the level is within the reference. The grade c is a grade with an intermediate degree of water quality abnormality, and indicates that some abnormal values are observed and periodic confirmation is necessary, and the grade c becomes an upper limit level allowable within a common standard reference value such as JIS standard. The grade d is the second highest grade of the degree of abnormality of the water quality, and indicates that a serious abnormal value is seen. The level e is a level at which the degree of water quality abnormality is the highest, and indicates that many serious abnormal values are observed and early countermeasures are required, and a level at which countermeasures such as unit stoppage are required. That is, when the result of the diagnosis of the water quality in the water circulation system 1 is a level (particularly, level e) with a high degree of abnormality in the water quality, it indicates that early coping is required.
The reference value is calculated from the correlation between the pH value and the conductivity based on the ammonia concentration added and managed for water treatment (for corrosion prevention) in the water circulation system 1. The correlation between the pH and the conductivity can be expressed by the following approximate expression.
pH＝0.43×ln(SC)+9.6 (1)
SC in formula (1) represents conductivity [ mS/m ]. In the formula (1), the pH value (theoretical value) due to ammonia at the same concentration as the concentration of ammonia estimated at a certain conductivity [ mS/m ] can be calculated. An approximate line (reference value) of the correlation between pH and conductivity represented by equation (1) is shown as a reference line by a solid line in fig. 4. For example, in the formula (1), when the conductivity is 1[ mS/m ], 9.6 is calculated as a pH value (theoretical value). This means that the ammonia concentration estimated from the conductivity of 1[ mS/m ] and the ammonia concentration estimated from pH9.6 were the same. That is, when the measurement results of the pH value and the electrical conductivity are on the approximate line (reference value) represented by the formula (1) or are in the vicinity within the measurement error range, it is estimated that the contamination of impurities and the like other than ammonia added for water treatment in the water circulation system 1 is extremely small and the water quality is not abnormal. On the other hand, when the measurement results of the pH value and the conductivity are greatly separated from the approximate line (reference value) represented by the formula (1), it indicates that the water quality is deteriorated under some influence other than the ammonia added for the water treatment. Some of the effects are, for example, leakage of seawater (mixing of seawater), mixing of organic matter, etc.
The range of deviation from the reference value corresponding to each of the plurality of levels is defined in accordance with the state of deviation from the reference value of the correlation between the pH value and the conductivity represented by equation (1). For example, as shown in fig. 3 and 4, the range of the level a is set within ± 0.05 of the reference value. The range of the deviation of the rank b is set (exceeding the reference value ± 0.05) to within the reference value ± 0.1. The range of the deviation of the rank c is set (exceeding the reference value ± 0.1) within the reference value ± 0.15. The range of the deviation of the rank d is set (exceeding the reference value ± 0.15) within the reference value ± 0.2. The range of the level e deviation is set to the reference value ± 0.2 or more. By defining the range of deviation from the reference value in a hierarchical manner in this way, the measurement results of the pH and conductivity can be associated with the degree of abnormality in the water quality. The range of the deviation is not limited to the above, and can be appropriately changed.
Fig. 4 shows an example of the measurement results of the pH and the conductivity obtained during the periods T1 (e.g., 0 to 1.5 years), T2 (e.g., 1.5 to 2.5 years), and T3 (e.g., 2.5 to 3.5 years) divided into periods from the scheduled maintenance. The measurement results of the pH and conductivity in the period T1 were not determined as the measurement result of the level e, although they were somewhat uneven. However, since the range of pH variation does not change so much and the conductivity decreases significantly with the passage of time, the measurement result determined as level e increases in the period T2, and the measurement result determined as level e occupies about half of the period T3. That is, since the range of variation in pH does not change much with time, it can be confirmed that the water quality deviates from the reference value with time from T1 to T2 and T3 by grasping the state of deviation of the electric conductivity from the reference value with respect to the water quality abnormality that is observed only in the measurement of pH. That is, in the example of fig. 4, there is a possibility that impurities which do not affect the pH value but affect only the conductivity may be mixed in the abnormality of the pH meter or the water circulation system. By focusing on the deviation of the correlation between the pH value and the conductivity from the reference value, it is possible to accurately determine the abnormality of water quality that is difficult to grasp from the pH value.
Even if the conductivity is lowered as in the example of fig. 4, if the pH value is lowered and is not so deviated from the reference value, and the pH value is in a deviated state within the measurement error, the pH value is an intentional operation of the amount of ammonia added for water treatment, impurities other than ammonia are extremely small, the water quality is not problematic, or an abnormality of the ammonia addition equipment may be considered. Therefore, if only the pH value or only the conductivity is analyzed, it is impossible to accurately grasp the water quality abnormality, and it is important to diagnose the water quality based on the correlation between the pH value and the conductivity.
The level determination unit 22 determines the level of the measurement result based on the measurement results of the conductivity measurement unit 3 and the pH measurement unit 4 and the deviation range stored in the storage unit 21. Specifically, the level determination unit 22 acquires the measurement results from the conductivity measurement unit 3 and the pH measurement unit 4 every predetermined period (for example, every 1 hour), and compares the measurement results with the deviation range stored in the storage unit 21. Then, a grade corresponding to a range of deviation including the measurement result is determined. In this way, the degree of water quality abnormality can be determined in a uniform manner by associating the degree of water quality abnormality with a level in accordance with the range of deviation from the reference value indicating that the water quality is normal for each measurement result.
The level determination unit 22 may acquire the measurement results of the conductivity measurement unit 3 and the pH measurement unit 4 when the operating state is in a steady state so that the measurement results are not affected by the operating state of the power plant. The steady state is, for example, a state in which a rated operation is being performed in which the output of the device is 90% or more. In this way, by specifying the operating state of the power plant and using the measurement result in the steady state, variation in the measurement result can be suppressed.
The integrated judgment unit 23 comprehensively judges the degree of the water quality abnormality in the water circulation system 1 based on the frequency distribution state corresponding to the plurality of levels in the judgment result using the judgment result of the level judgment unit 22 corresponding to each of the plurality of measurement results. Specifically, the integrated determination unit 23 obtains the scale results determined for the measurement results of the conductivity measurement unit 3 and the pH measurement unit 4 measured within a predetermined period (for example, 1 month from a predetermined date), and calculates the frequency distribution state with respect to the obtained plurality of scales (for example, the scales a to e). As shown in fig. 5, the integrated judgment unit 23 is preset with integrated judgments a to E based on frequency distribution criteria for a plurality of levels (for example, level a to level E), and the degree of water quality abnormality can be comprehensively judged based on the state of a predetermined period. The frequency distribution criterion of the rank in the comprehensive judgment a in the present embodiment is, for example, a state where the rank a is 90% or more and the ranks d and e are 0%, and indicates that the current operating state can be maintained without any problem. The frequency distribution criterion of the rank in the comprehensive judgment B is, for example, a state where the ranks a and B are 80% or more and the ranks d and e are 0%, and indicates that the operation can be continued but some abnormal values may be observed. The frequency distribution criterion of the rank in the comprehensive judgment D is, for example, a state where the ranks a and b are 0%, the ranks D and e are 80% or more, and the rank e is less than 20%, and the degree of abnormality of the water quality is the second highest, and a serious abnormal value may be seen, and preparation for maintenance may be required. The frequency distribution standard of the rank in the integrated judgment E is, for example, a state where the rank E is 20% or more, and indicates that the degree of water quality abnormality is the highest, and many serious abnormal values are observed, and an early maintenance measure is required. The overall judgment C is a case other than the overall judgment A, B, D, E, and indicates that the degree of water quality abnormality is an intermediate level, and some abnormal values may be observed and periodically confirmed. The number of levels and frequency distribution criteria for the integrated decision in the integrated decision section 23 are not limited to the above-described levels (a to E) and frequency distribution criteria, and can be changed as appropriate.
Next, the level determination process by the level determination unit 22 will be described with reference to fig. 6. The flow shown in fig. 6 is repeatedly executed at predetermined control intervals (for example, at every 1 hour), and the rank results (for example, the ranks a to e) determined for each measurement result in units of, for example, 1 month from a predetermined date are identified and accumulated for each measurement date and time.
First, the level determination unit 22 obtains the measurement results of the conductivity measurement unit 3 and the pH measurement unit 4 (S101). Then, it is determined whether or not the obtained measurement result is within a range of the level a (within ± 0.05 from the reference value) (S102). If the obtained measurement result is within the range of the deviation of the level a (yes in S102), the measurement result is determined as the level a (S103).
If the obtained measurement result is not within the range of the deviation of the rank a (no determination in S102), it is determined whether the obtained measurement result is within the range of the deviation of the rank b (within ± 0.1 of the reference value) (S104). If the obtained measurement result is within the range of the deviation of the level b (yes in S104), the measurement result is determined as the level b (S105).
If the obtained measurement result is not within the range of the deviation of the rank b (no determination in S104), it is determined whether the obtained measurement result is within the range of the deviation of the rank c (within ± 0.15 of the reference value) (S106). If the obtained measurement result is within the range of the deviation of the rank c (yes at S106), the measurement result is determined as the rank c (S107).
If the obtained measurement result is not within the range of the deviation of the rank c (no determination in S106), it is determined whether the obtained measurement result is within the range of the deviation of the rank d (within ± 0.2 of the reference value) (S108). If the obtained measurement result is within the range of deviation of the rank d (yes in S108), the measurement result is determined as the rank d (S109).
If the obtained measurement result is not within the range of the deviation of the level d (no determination in S108), the measurement result is determined as the level e (S110), and the process is terminated. The above control is repeatedly executed at a predetermined control cycle, and a plurality of levels (level a to level e) corresponding to the measurement result are identified and stored in the storage unit 21 according to the measurement date and time.
Then, the integrated judgment unit 23 acquires, from the storage unit 21, the levels (for example, the levels a to E) determined for the measurement results of the conductivity measurement unit 3 and the pH measurement unit 4 measured within a predetermined period (for example, 1 month), and performs integrated judgment (for example, a to E) based on the frequency distribution state with respect to the acquired plurality of levels. The result of the comprehensive judgment is displayed on a display or the like provided in the power plant, and is notified to the operator of the power plant.
As described above, according to the water quality diagnostic system, the power plant, and the water quality diagnostic method of the present embodiment, since the degree of abnormality of water quality is determined based on the deviation range of each measurement result of the conductivity measuring unit 3 and the pH measuring unit 4 from the reference value based on the correlation between pH and conductivity, even if the water quality is abnormal, which cannot be accurately determined only by pH or only by conductivity, it can be determined efficiently. Since the measurement results of the conductivity measuring unit 3 and the pH measuring unit 4 are classified into a plurality of classes (for example, class a to class e) indicating the degree of water quality abnormality, it is possible to accurately and accurately determine the water quality abnormality in a single step without depending on the skill of the measurer. Since the abnormality of water quality can be accurately determined, the influence of deterioration of water quality on the entire power plant (for example, leakage of boiler evaporation tubes, deterioration of turbine function, etc.) can be effectively prevented.
Since the degree of abnormality of water quality (for example, a to E) is comprehensively determined based on the frequency distribution state for a plurality of levels (for example, levels a to E), the presence or absence of abnormality can be comprehensively determined with high accuracy based on the state of a predetermined period. For example, in the case where the frequency distribution of the class a to the class e is large, the overall judgment is made as to whether or not there is a serious abnormality and no problem, even if the measurement results of the resistivity are not uniform due to, for example, the concentration difference (for example, ammonia concentration difference) of the water flowing through the water circulation system 1, with respect to the respective class results of the measurement results of the conductivity measurement unit 3 and the pH measurement unit 4 determined for a predetermined period: A. that is, it is possible to perform highly accurate integrated determination based on the frequency of each level determined for each measurement value.
[ second embodiment ]
Next, a water quality diagnosis system, a power plant, and a water quality diagnosis method according to a second embodiment of the present invention will be described. The control device 5 in the first embodiment diagnoses the degree of water quality abnormality using the measurement results of the conductivity measuring unit 3 and the pH measuring unit 4, but in the present embodiment, the control device 5 estimates the cause of the water quality abnormality in addition to the processing in the first embodiment. Hereinafter, the water quality diagnosis system of the present embodiment will be described mainly with respect to differences from the first embodiment.
As shown in fig. 7, the water quality diagnosis system according to the present embodiment includes an acid conductivity measurement unit 17, a boiler water pH measurement unit 18 for measuring the pH of boiler 6 water, a chlorine concentration measurement unit 19, and a sodium concentration measurement unit 20 as other measurement units independent of the measurement unit according to the first embodiment. As shown in fig. 8, the control unit in the present embodiment includes a cause estimation unit 24.
The storage unit 21 stores therein the correction history of the pH measuring unit 4, the estimated cause of the water quality abnormality, and confirmation items for confirming the estimated cause. The correction history of the pH measuring unit 4 is the corrected date and time of the pH measuring unit 4. The estimated cause of the water quality abnormality and the confirmation items for confirming the estimated cause are partially represented by a table such as fig. 9 in the present embodiment. In the present embodiment, it is assumed that, for example, the causes and the like estimated when the comprehensive determinations D and E of the abnormality in water quality are performed are stored in the storage unit 21.
When the water quality is determined to be abnormal (comprehensive determination D or E) and the average value of the measurement results of the pH measuring unit 4 is lower than the reference value, this indicates that the pH measuring unit 4 is abnormal or the water quality maintained weakly alkaline is deteriorated (shifts to the acidity tendency). Therefore, the storage unit 21 stores various causes (correction failure of the pH measuring unit 4, leakage of seawater, contamination of organic substances, and leakage of chlorine) estimated as causes of abnormality of the pH measuring unit 4 or a shift of water quality to an acidic tendency. When the water quality is determined to be abnormal (comprehensive determination D or E) and the average value of the measurement results of the pH measuring unit 4 is higher than the reference value, this indicates that the pH measuring unit 4 is abnormal or the water quality maintained at weak alkalinity is deteriorated (further shifts to the alkalinity tendency). Therefore, the storage unit 21 stores various causes (defective correction of the pH measuring unit 4, sodium leakage) estimated as a cause of abnormality of the pH measuring unit 4 or a cause of further shift of the water quality to the alkaline tendency. The storage unit 21 stores, for each cause, confirmation items (C1 to C6) for estimating a cause with a higher possibility among the causes.
The acid conductivity measuring unit 17 is provided at least 1 point of the outlet of the condenser 8, the vicinity of the inlet of the boiler 6, and the vicinity of the inlet of the turbine 7. As for the acid conductivity, volatile substances such as ammonium ions are removed from the water flowing in the water circulation system 1 by the strongly acidic cation exchange resin layer converted to a hydrogen ion type, and the conductivity is measured with respect to the water after the removal.
The boiler water pH measuring unit 18 is provided in the boiler 6, and measures the pH value in the water in the boiler 6. In the case of a drum type boiler as an example of the boiler 6, the pH value of the water in the boiler 6 in the drum is measured.
The chlorine concentration measuring unit 19 is provided at least 1 upstream of the condensate demineralizer 10 and in the water supply system in the condensation system. The chlorine concentration measuring unit 19 measures the chlorine concentration of water supplied from an external unit such as a pure water device (not shown) and flowing into the water circulation system 1.
The sodium concentration measuring unit 20 is provided at least 1 in the upstream side of the condensate demineralizer 10 and the water supply system in the condensation system. The sodium concentration measuring unit 20 measures the sodium concentration of water supplied from an external unit such as a pure water device (not shown) and flowing into the water circulation system 1.
The cause estimation unit 24 automatically pushes the cause of the overall determination result by determining whether or not a value different from the value used in the overall determination result satisfies a predetermined condition, based on the overall determination result of the overall determination unit 23. Specifically, the cause estimation unit 24 reads the confirmation items for the causes of the water quality abnormality stored in the storage unit 21, determines whether or not the conditions described in the confirmation items are satisfied, and outputs the cause corresponding to the confirmation item as the estimation result when the conditions are satisfied.
Next, a specific example of the cause estimation process by the cause estimation unit 24 will be described with reference to fig. 9. The reason and the confirmation item shown in fig. 9 are examples of a part, and the reason and the confirmation item can be set as appropriate.
Hereinafter, the specific processing performed by the cause estimation unit 24 will be described for each confirmation item, but each cause estimation processing is executed by sequential processing or parallel processing.
When the water quality abnormality is determined (comprehensive determination D or E) and the average value of the measurement results by the pH measuring unit 4 measured within a predetermined period of time (for example, 1 month from a predetermined date) during which the comprehensive determination is performed is lower than the reference value, the cause estimating unit 24 reads out the confirmation items C1 to C4 from the storage unit 21 in order to estimate the cause of the water quality abnormality. Then, whether or not the conditions described in the respective confirmation items are satisfied is determined for a value different from the value used in the integrated determination result, and the cause is estimated.
When the confirmation item C1 is read from the storage unit 21, the cause estimation unit 24 refers to the correction history of the pH measurement unit 4 to determine whether or not the correction has been performed within a predetermined period (for example, 1 month). When it is determined that the correction is not performed within the predetermined period, the cause of the correction failure of the pH measuring unit 4 is estimated as the cause of the water quality abnormality when the deterioration state of the pH measuring unit 4 is confirmed by comparison with the manually analyzed value or the like.
When the confirmation item C2 is read from the storage unit 21, the cause estimation unit 24 acquires the measurement result of the acid conductivity measurement unit 17, and determines whether or not the measurement result is within a predetermined threshold value. If it is determined that the measurement result of the acid conductivity measuring unit 17 is not within the predetermined threshold, it is considered that a trace amount of salinized hydrogen (HCl) is generated due to seawater infiltration, and seawater leakage is estimated as a cause of water quality abnormality. The threshold value in the confirmation item C2 is set as the acid conductivity in consideration of the salt concentration allowed for the water flowing through the water circulation system 1. In order to confirm the site of occurrence of the seawater leakage, the acid conductivity measuring unit 17 is preferably installed at the outlet of the condenser 8, near the inlet of the boiler 6, and near the inlet of the turbine 7, and the measurement results are compared.
When the confirmation item C3 is read from the storage unit 21, the cause estimation unit 24 acquires the measurement results of the pH measurement unit 4 and the boiler water pH measurement unit 18, and determines whether or not the difference between the measurement result of the pH measurement unit 4 and the measurement result of the boiler water pH measurement unit 18 is within a predetermined threshold value. When it is determined that the difference between the measurement result of the pH measurement unit 4 and the measurement result of the boiler water pH measurement unit 18 is not within the preset threshold value, the contamination of organic matter is estimated as a cause of the water quality abnormality. When organic substances are mixed in industrial water or the like supplied from the outside in the water circulation system 1, there is a high possibility that the organic substances are decomposed by a temperature rise to generate a trace amount of acid. Therefore, for example, by comparing the local difference using the pH values of the pH measuring unit 4 provided upstream of the boiler 6 and the boiler water pH measuring unit 18 provided in the boiler 6, it is possible to detect the generation of acid due to the mixing of organic substances. The threshold value in the confirmation item C3 is set as a pH value corresponding to an allowable amount of acid generation in a case where it is assumed that acid is generated from an organic substance due to a temperature increase.
When the confirmation item C4 is read from the storage unit 21, the cause estimation unit 24 acquires the measurement result of the chlorine concentration measurement unit 19, and determines whether or not the measurement result of the chlorine concentration measurement unit 19 is within a predetermined threshold value. When it is determined that the measurement result of the chlorine concentration measurement unit 19 is not within the preset threshold value, it is estimated that a slight amount of chlorine leakage from a water purification apparatus (not shown) or the like is a cause of the estimated water quality abnormality. The cause is determined by confirming the concentration of a trace amount of chlorine component by ion chromatography or the like. The threshold value in the confirmation item C3 is set as the concentration of chlorine allowed for the water flowing through the water circulation system 1.
On the other hand, when the water quality abnormality is determined (comprehensive determination D or E) and the average value of the measurement results of the pH measurement unit 4 measured within a predetermined period of time (for example, 1 month from a predetermined date) during which the comprehensive determination is performed is higher than the reference value, the cause estimation unit 24 reads out the confirmation items C5 to C6 from the storage unit 21 in order to estimate the cause of the water quality abnormality. Then, whether or not the conditions described in the respective confirmation items are satisfied is determined, and the cause is estimated.
When the confirmation item C5 is read from the storage unit 21, the cause estimation unit 24 refers to the correction history of the pH measurement unit 4 to determine whether or not the correction has been performed within a predetermined period (for example, 1 month). When it is determined that the correction is not performed within the predetermined period, the cause of the correction failure of the pH measuring unit 4 is estimated as the cause of the water quality abnormality when the deterioration state of the pH measuring unit 4 is confirmed by comparison with the manually analyzed value or the like. The confirmation item C5 is the same as the confirmation item C1.
When the confirmation item C6 is read from the storage unit 21, the cause estimation unit 24 acquires the measurement result of the sodium concentration measurement unit 20, and determines whether or not the measurement result of the sodium concentration measurement unit 20 is within a predetermined threshold value. When it is determined that the measurement result of the sodium concentration measurement unit 20 is not within the preset threshold value, a slight sodium leakage from a water purification apparatus (not shown) or the like is estimated as a cause of the water quality abnormality. The cause is determined by confirming the concentration of a trace amount of sodium component by ion chromatography or the like. The threshold value in the confirmation item C6 is set as the sodium concentration allowed for the water flowing through the water circulation system 1.
In this way, when the comprehensive judgment D or E indicating the abnormality of the water quality is judged, the cause estimation unit 24 reads out the estimated cause and the confirmation items thereof from the storage unit 21 for a value different from the value used in the comprehensive judgment result, and estimates the cause with a high possibility based on the conditions described in each confirmation item. The estimated cause is displayed on a display or the like provided in the power plant, and notified to the operator of the power plant. This makes it possible to accurately and quickly estimate the cause, and thus to detect an abnormality in the plant at an early stage.
In the case of notifying the operator of the power plant of the integrated determination result and the cause thereof, for example, a map image as shown in fig. 10 may be displayed on the display, in the map shown in fig. 10, the horizontal axis represents the integrated determination result, and the vertical axis represents the acid conductivity, the higher the attention level (degree of influence) indicating the cause of each water quality abnormality is, the higher the upper right of the map is, the cause of the water quality abnormality stored in the storage unit 21 is arranged on the map in accordance with a preset threshold value, and the current value of the measurement value corresponding to the cause of each water quality abnormality is indicated by ◎ or the like on the basis of the integrated determination result and the cause estimation result, so that the attention level and the cause can be easily and quickly notified visually, and in the example of fig. 10, the measurement value in the case where the integrated determination E is determined and the seawater leakage is estimated to be the cause is shown as the current value, and the respective causes and attention levels, and the like can be appropriately changed.
The overall determination result, the cause estimated from the overall determination result, the map shown in fig. 10, the measurement result related to the water quality abnormality, the operation state of the power plant, and the like may be transmitted from a communication device (not shown) to a computer (simulation device) such as a central control unit installed at a remote place via the internet or the like, for example, and displayed. The computer may also be located at the power station. The measurement results associated with the water quality abnormality are, for example, measurement results obtained from the respective measurement units (the conductivity measurement unit 3, the pH measurement unit 4, the acid conductivity measurement unit 17, the boiler water pH measurement unit 18, the chlorine concentration measurement unit 19, the sodium concentration measurement unit 20, and the like). The computer may estimate the amount and time of leakage based on information acquired by the communication device (for example, the overall determination result, the cause estimated from the overall determination result, the operating state of the power plant, and the like), for example, using a simulation model and/or data accumulated from the past (the measurement results of the conductivity measuring unit 3 and the pH measuring unit 4), calculate the seawater leakage pollution range of the power plant, and display the calculated range in a map form. The simulation model is a virtual model of the power plant, and the virtual model can be virtually operated on a computer based on each parameter (for example, a measurement result of the conductivity measuring unit 3). The data accumulated from the past is each measurement data (data in which the measurement result of each measurement unit such as the conductivity measurement unit 3 is associated with the leakage or the like) in the case where the leakage actually occurs in the power plant. The map of the seawater leakage pollution range in the power plant is transmitted to a control room of the power plant by a communication device (not shown), and the seawater leakage pollution range is displayed by visualizing the seawater leakage pollution range, so that an operator of the power plant can easily recognize the pollution range. In a power plant, it is easy to rapidly propose a plan for adding measures such as survey contents, treatment contents, and schedules in the future for the occurrence of water quality abnormality, and to recover the soundness of the power plant at an early stage and appropriately.
As described above, according to the water quality diagnosis system, the power plant, and the water quality diagnosis method of the present embodiment, it is possible to automatically estimate the cause that can be the result of the integrated judgment determined by the integrated judgment unit 23. Therefore, even when the overall determination result indicates a high water quality abnormality, the cause can be accurately and quickly estimated. Since the cause of the water quality abnormality can be recognized quickly, early response can be expected.
The present disclosure is not limited to the above-described embodiments, and various modifications can be made without departing from the spirit of the invention. The embodiments can also be combined.
Description of the reference symbols
1: water circulation system
3: conductivity measuring part
4: pH measuring part
5: control device
6: boiler
7: turbine engine
8: condenser
9: condensate pump
10: condensate demineralization apparatus
11: steam seal steam condenser
12: low-pressure heater
13: degasser
14: water supply pump
15: high-pressure heater
17: acid conductivity measuring part
18: boiler water pH meter
19: chlorine concentration measuring part
20: sodium concentration measuring part
21: storage unit
22: grade determination unit
23: comprehensive judgment unit
24: cause estimation unit
Claims (8)
1. A water quality diagnosis system is provided with:
a conductivity measuring unit provided in a water circulation system in the power station and measuring the conductivity of the circulating water;
a pH measuring unit provided in the water circulation system for measuring a pH value of the circulated water; and
a control device for diagnosing the degree of water quality abnormality,
the control device is provided with:
a storage unit that stores a reference value based on a correlation between a pH value and an electrical conductivity in the water circulation system, a plurality of levels that are preset and that indicate degrees of water quality abnormality in the water circulation system, and ranges of deviation from the reference value that correspond to the plurality of levels, respectively; and
and a grade determination unit configured to determine a grade of the measurement result based on the measurement results of the conductivity measurement unit and the pH measurement unit and the deviation range stored in the storage unit.
2. The water quality diagnostic system according to claim 1, wherein,
the control device includes an integrated determination unit that comprehensively determines the degree of water quality abnormality in the water circulation system based on the frequency distribution state of the plurality of levels in the determination result, using the determination result of the level determination unit corresponding to each of the plurality of measurement results.
3. The water quality diagnostic system according to claim 2,
the control device includes a cause estimation unit that estimates a cause of the overall determination result by determining whether or not a predetermined condition is satisfied for a value different from the values of the conductivity measurement unit and the pH measurement unit used for the overall determination, based on the overall determination result of the overall determination unit.
4. The water quality diagnostic system according to claim 3,
at least 1 acid conductivity measuring part which is arranged in the water circulation system and measures the acid conductivity of the circulated water,
the cause estimation unit determines whether or not the measurement result from the acid conductivity measurement unit is equal to or greater than a predetermined threshold value when the integrated determination result indicates a high water quality abnormality, and estimates seawater leakage as a cause of the integrated determination result when the determination result is affirmative.
5. The water quality diagnosis system according to claim 3 or 4,
the information processing apparatus further includes a display unit that displays the integrated determination result and the cause corresponding to the integrated determination result estimated by the cause estimation unit.
6. The water quality diagnosis system according to claim 4 or 5,
the device is provided with a simulation device,
the control device includes a communication unit that transmits the cause estimated for the comprehensive determination result and the measurement result associated with the water quality abnormality to the simulation device,
the simulation device estimates a leakage amount and a leakage time based on information acquired by the communication unit and based on a simulation model and/or accumulated past data, and derives a leakage pollution range of the power station.
7. A power plant is provided with:
a boiler;
a steam turbine;
a condenser; and
a water quality diagnostic system according to any one of claims 1 to 6.
8. A water quality diagnosis method is a water quality diagnosis method of a water quality diagnosis system, and the water quality diagnosis system is provided with: a conductivity measuring unit and a pH measuring unit provided in a water circulation system in a power plant; and a control device having a storage unit that stores a reference value based on a correlation between a pH value and an electric conductivity in the water circulation system, a plurality of levels that are preset and indicate degrees of water quality abnormality in the water circulation system, and ranges of deviation from the reference value corresponding to the plurality of levels, respectively,
the water quality diagnosis method comprises the following steps:
a conductivity measuring step of measuring the conductivity of the circulating water;
a pH measurement step of measuring the pH value of the circulating water; and
a level determination step of determining a level of the measurement result based on the measurement results of the conductivity measurement step and the pH measurement step and the deviation range stored in the storage unit.
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| JP2017-222748 | 2017-11-20 | ||
| JP2017222748A JP6878256B2 (en) | 2017-11-20 | 2017-11-20 | Water quality diagnostic system, power plant, and water quality diagnostic method |
| PCT/JP2018/041063 WO2019098077A1 (en) | 2017-11-20 | 2018-11-05 | Water quality diagnostic system, power generation plant, and water quality diagnostic method |
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| JP (1) | JP6878256B2 (en) |
| KR (1) | KR102344805B1 (en) |
| CN (1) | CN111033253B (en) |
| PH (1) | PH12020500356A1 (en) |
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| CN112946220A (en) * | 2021-02-04 | 2021-06-11 | 华能（天津）煤气化发电有限公司 | IGCC combined cycle power generation-based online detection water quality sampling detection method |
| CN114167011A (en) * | 2020-10-29 | 2022-03-11 | 佛山市美的清湖净水设备有限公司 | Waterway system, and water quality early warning method and device of waterway system |
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| JP7225025B2 (en) * | 2019-05-10 | 2023-02-20 | 三菱重工業株式会社 | Corrosion control system, water treatment equipment and power plant, and corrosion control method and corrosion control program |
| JP7293068B2 (en) * | 2019-09-20 | 2023-06-19 | クリタ・ビーエムエス株式会社 | Vapor quality evaluation device and vapor quality evaluation method |
| JP2022115155A (en) | 2021-01-28 | 2022-08-09 | 三菱重工業株式会社 | Water quality diagnostic method |
| CN113666457A (en) * | 2021-08-31 | 2021-11-19 | 重庆夏软科技有限公司 | Water purification optimization system and method based on water quality monitoring |
| CN117035240B (en) * | 2023-10-08 | 2024-03-01 | 华能山东发电有限公司烟台发电厂 | Monitoring and management method and system for water used in thermal power plant |
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Also Published As
| Publication number | Publication date |
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| CN111033253B (en) | 2022-12-20 |
| JP6878256B2 (en) | 2021-05-26 |
| JP2019095232A (en) | 2019-06-20 |
| PH12020500356A1 (en) | 2021-01-11 |
| WO2019098077A1 (en) | 2019-05-23 |
| KR102344805B1 (en) | 2021-12-30 |
| KR20200029555A (en) | 2020-03-18 |
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